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Question 1 150 Marks Data Modelling Section Irrespective of the industry, understanding how your customers and competitors feel about your products or brand provide you with the context necessary to evaluate and improve the product, business, marketing, and communications strategy. Sentiment analysis can be used to analyse and understand the emotion and sentiments of customers embedded in a raw textual data in order to drive objective quantitative results using techniques such as machine learning, natural language processing, and data analytics. As a data scientist consultant, you have tasked yourself with building a generic model that can be used to analyse company's brand(s). To achieve this, you need to track customers' sentiments over time in order to measure and understand different opinions. For the preliminary phase of the project, you have been provided with a data set obtained from Twitter regarding peoples’ emotions. Develop a sentiment analysis model that can be used to verify the comments of internet users archived in the data set. Your goal is to have you analyse and build a machine learning pipeline which involves using two (2) classifiers (Support Vector machine and Random Forest) along with using Term Frequency-Inverse document frequency to convert text to integers. Finally, evaluate the performance of the classifiers using accuracy and F1-score. The dataset contains <20K tweets extracted using Twitter API (Tweepy). For security purposes, the users’ identities have been removed. That is, Twitter users’ @name is replaced with @user. Each tweet in the training dataset is labelled as either negative or positive. Negative tweets (class label = 1) are found to be hateful and or offensive (sexist/political/racist), while positive tweets (labelled as 0) are loving, kind, neutral. The various columns present in the dataset are: First column(ids): Unique id of the tweet Second column(label): the polarity of the tweet (positive or negative) Third column(tweet): It refers to the text of the tweet with other features like emojis. Below are the lists of high-level tasks involved in the Machine Learning Pipeline: • Read and Load the Dataset • Exploratory Data Analysis • Data Visualization of Target Variables • Data Preprocessing • Splitting our data into Train and Test Subset • Transforming Dataset using TF-IDF Vectoriser • Function for Model Evaluation • Model Building • Your Conclusion Using the Machine Learning Pipeline described above, answer the following questions: 1.1 Dataset a. Read the training dataset file and display the number of rows, columns and class label, top n records, Shape of data, Datatypes of all columns, checking for null values, number of target values. (10 Marks) b. Data visualisation of target values (5 Marks) c. Perform the following data pre-processing tasks after partitioning your data set (on both train and test sets): i. Tokenisation (5 Marks) ii. Punctuation removal (5 Marks) iii. Stopwords removal (5 Marks) iv. Lemmatisation (5 Marks) v. Stemming (5 Marks) vi. Bag of words and Feature Engineering (10 Marks) d. Using PCA, perform data dimensionality reduction on the training set (20 Marks) e. Train your model using the following ML algorithms: i. Random Forest (20 Marks) ii. Support Vector Machine (20 Marks) f. Evaluate the performance of your model and elaborate more on the effect of each performance metrics employed. (10 Marks) [Sub Total 120 Marks] 1.2 Data Visualisation Section Using the scenario described above, answer the following questions: a. Create cloud of word representation for all positive and negative words found in the data set. (15 Marks) b. Plot the most common hashtags used in tweets, that is, the frequency of positive and negative words. (15 Marks) [Sub Total 30 Marks] End of Question 1   Question 2 70 Marks This section focuses on using data visualisation tools to describe historical data and get a clear understanding about what has been happening. Students are allowed to make use of any data visualisation tool of their choice to answer the questions in this section. The attached file, “QLFS Trends 2008-2019Q4.xlsx”, depicts the most recent Quarterly Labour Force Survey from STATSA. The file shows the South African labour force market from different categories. Use the file to answer the following questions: 2.1 From Table 1, population of working ages (15-64 years), what is the latest population of women? (10 Marks) 2.2 From Table 2, labour force characteristics by sex – all population groups, what is the latest population of working women? (10 Marks) 2.3 From Table 3.1, employed by industry and sex, how has the community and social services industry changed with regards to women’s employment? (20 Marks) 2.4 From Table 3.5, employed by sex and occupation, among women, which is the most common occupation? (10 Marks) 2.5 From Table 3.7, illustrate with a pie chart the distribution of weekly working hours among women. (20 Marks) [Sub Total 70 Marks]
Additional Instructions:
Question 1 150 Marks Data Modelling Section Irrespective of the industry, understanding how your customers and competitors feel about your products or brand provide you with the context necessary to evaluate and improve the product, business, marketing, and communications strategy. Sentiment analysis can be used to analyse and understand the emotion and sentiments of customers embedded in a raw textual data in order to drive objective quantitative results using techniques such as machine learning, natural language processing, and data analytics. As a data scientist consultant, you have tasked yourself with building a generic model that can be used to analyse company's brand(s). To achieve this, you need to track customers' sentiments over time in order to measure and understand different opinions. For the preliminary phase of the project, you have been provided with a data set obtained from Twitter regarding peoples’ emotions. Develop a sentiment analysis model that can be used to verify the comments of internet users archived in the data set. Your goal is to have you analyse and build a machine learning pipeline which involves using two (2) classifiers (Support Vector machine and Random Forest) along with using Term Frequency-Inverse document frequency to convert text to integers. Finally, evaluate the performance of the classifiers using accuracy and F1-score. The dataset contains
Table1 Table 1: Population of working age (15-64 years) Jan-Mar 2008 Apr-Jun 2008 Jul-Sep 2008 Oct-Dec 2008 Jan-Mar 2009 Apr-Jun 2009 Jul-Sep 2009 Oct-Dec 2009 Jan-Mar 2010 Apr-Jun 2010 Jul-Sep 2010 Oct-Dec 2010 Jan-Mar 2011 Apr-Jun 2011 Jul-Sep 2011 Oct-Dec 2011 Jan-Mar 2012 Apr-Jun 2012 Jul-Sep 2012 Oct-Dec 2012 Jan-Mar 2013 Apr-Jun 2013 Jul-Sep 2013 Oct-Dec 2013 Jan-Mar 2014 Apr-Jun 2014 Jul-Sep 2014 Oct-Dec 2014 Jan-Mar 2015 Apr-Jun 2015 Jul-Sep 2015 Oct-Dec 2015 Jan-Mar 2016 Apr-Jun 2016 Jul-Sep 2016 Oct-Dec 2016 Jan-Mar 2017 Apr-Jun 2017 Jul-Sep 2017 Oct-Dec 2017 Jan-Mar 2018 Apr-Jun 2018 Jul-Sep 2018 Oct-Dec 2018 Jan-Mar 2019 Apr-Jun 2019 Jul-Sep 2019 Oct-Dec 2019 Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Both sexes 31,544 31,690 31,839 31,987 32,135 32,285 32,435 32,584 32,732 32,882 33,033 33,184 33,335 33,487 33,640 33,792 33,945 34,098 34,253 34,405 34,558 34,712 34,868 35,022 35,177 35,332 35,489 35,643 35,799 35,955 36,114 36,272 36,431 36,591 36,750 36,905 37,061 37,217 37,373 37,525 37,678 37,832 37,985 38,134 38,283 38,433 38,582 38,727 Women 16,233 16,299 16,366 16,433 16,500 16,568 16,636 16,703 16,767 16,837 16,906 16,974 17,042 17,110 17,179 17,248 17,317 17,387 17,457 17,527 17,596 17,666 17,738 17,808 17,879 17,950 18,022 18,093 18,164 18,236 18,309 18,383 18,456 18,530 18,604 18,679 18,753 18,828 18,903 18,975 19,048 19,122 19,195 19,267 19,339 19,411 19,483 19,554 Men 15,311 15,391 15,472 15,554 15,635 15,717 15,799 15,881 15,965 16,045 16,128 16,210 16,293 16,377 16,461 16,544 16,627 16,711 16,795 16,878 16,962 17,046 17,130 17,214 17,298 17,382 17,467 17,550 17,634 17,719 17,804 17,889 17,975 18,061 18,145 18,226 18,307 18,389 18,471 18,550 18,630 18,710 18,790 18,867 18,944 19,022 19,099 19,174 37,373 Population groups 31,544 31,690 31,839 31,987 32,135 32,285 32,435 32,584 32,732 32,882 33,033 33,184 33,335 33,487 33,640 33,792 33,945 34,098 34,253 34,405 34,558 34,712 34,868 35,022 35,177 35,332 35,489 35,643 35,799 35,955 36,114 36,272 36,431 36,591 36,750 36,905 37,061 37,217 37,525 37,678 37,832 37,985 38,134 38,283 38,433 38,582 38,727 Black/African 24,423 24,556 24,693 24,830 24,967 25,105 25,244 25,382 25,526 25,659 25,800 25,941 26,082 26,224 26,368 26,512 26,656 26,801 26,947 27,092 27,237 27,383 27,532 27,679 27,827 27,975 28,125 28,274 28,423 28,573 28,726 28,879 29,033 29,187 29,341 29,493 29,645 29,798 29,950 30,099 30,249 30,399 30,550 30,697 30,844 30,992 31,140 31,284 Coloured 2,967 2,980 2,994 3,007 3,020 3,033 3,047 3,060 3,072 3,086 3,099 3,112 3,125 3,137 3,150 3,163 3,175 3,187 3,200 3,212 3,224 3,236 3,247 3,259 3,270 3,282 3,293 3,304 3,315 3,325 3,336 3,346 3,356 3,366 3,377 3,386 3,396 3,406 3,415 3,425 3,434 3,443 3,452 3,460 3,468 3,477 3,485 3,493 Indian/Asian 877 881 885 888 892 896 899 903 906 910 913 917 920 924 927 930 934 937 940 943 947 950 953 956 959 962 965 968 971 974 977 980 983 985 988 990 992 994 996 998 1,000 1,003 1,005 1,007 1,009 1,011 1,013 1,016 White 3,277 3,273 3,267 3,262 3,256 3,251 3,245 3,239 3,229 3,227 3,221 3,214 3,208 3,201 3,194 3,187 3,180 3,173 3,166 3,158 3,151 3,143 3,136 3,128 3,120 3,113 3,105 3,097 3,090 3,082 3,074 3,067 3,059 3,052 3,044 3,036 3,028 3,020 3,012 3,003 2,995 2,987 2,979 2,970 2,961 2,953 2,944 2,935 South Africa 31,544 31,690 31,839 31,987 32,135 32,285 32,435 32,584 32,732 32,882 33,033 33,184 33,335 33,487 33,640 33,792 33,945 34,098 34,253 34,405 34,558 34,712 34,868 35,022 35,177 35,332 35,489 35,643 35,799 35,955 36,114 36,272 36,431 36,591 36,750 36,905 37,061 37,217 37,373 37,525 37,678 37,832 37,985 38,134 38,283 38,433 38,582 38,727 Western Cape 3,641 3,661 3,681 3,701 3,721 3,741 3,761 3,782 3,802 3,822 3,844 3,865 3,886 3,907 3,929 3,951 3,973 3,995 4,017 4,040 4,062 4,085 4,108 4,130 4,153 4,176 4,200 4,223 4,246 4,269 4,293 4,317 4,341 4,365 4,389 4,412 4,436 4,460 4,483 4,506 4,528 4,551 4,574 4,597 4,619 4,642 4,664 4,686 Eastern Cape 3,798 3,810 3,823 3,836 3,849 3,862 3,875 3,888 3,900 3,912 3,924 3,935 3,947 3,958 3,969 3,980 3,991 4,002 4,012 4,021 4,030 4,040 4,048 4,056 4,065 4,073 4,081 4,089 4,098 4,106 4,115 4,124 4,133 4,142 4,153 4,166 4,178 4,190 4,203 4,215 4,228 4,240 4,253 4,265 4,277 4,289 4,301 4,313 Northern Cape 697 700 702 704 706 708 711 713 715 717 719 722 724 726 729 731 734 736 739 741 744 746 749 751 754 756 759 761 764 766 768 771 773 775 778 780 783 785 787 790 792 794 796 798 800 802 804 806 Free State 1,783 1,785 1,788 1,790 1,793 1,795 1,798 1,800 1,803 1,805 1,808 1,811 1,814 1,817 1,820 1,823 1,826 1,829 1,832 1,835 1,838 1,841 1,845 1,848 1,852 1,855 1,858 1,862 1,865 1,869 1,872 1,875 1,879 1,882 1,884 1,885 1,887 1,888 1,890 1,892 1,895 1,897 1,900 1,902 1,904 1,906 1,908 1,910 KwaZulu Natal 5,993 6,016 6,041 6,065 6,090 6,114 6,139 6,164 6,188 6,213 6,238 6,262 6,286 6,311 6,336 6,360 6,384 6,408 6,432 6,456 6,479 6,502 6,527 6,549 6,572 6,596 6,619 6,643 6,667 6,690 6,715 6,739 6,764 6,789 6,815 6,841 6,868 6,894 6,921 6,948 6,975 7,002 7,029 7,055 7,082 7,109 7,135 7,161 North West 2,130 2,138 2,147 2,156 2,165 2,174 2,183 2,192 2,202 2,211 2,221 2,231 2,240 2,250 2,261 2,271 2,281 2,292 2,303 2,313 2,324 2,335 2,345 2,356 2,367 2,378 2,389 2,400 2,411 2,422 2,434 2,445 2,456 2,468 2,479 2,490 2,501 2,512 2,523 2,534 2,545 2,556 2,567 2,577 2,588 2,599 2,609 2,620 Gauteng 8,070 8,115 8,161 8,206 8,251 8,297 8,344 8,391 8,437 8,484 8,532 8,581 8,630 8,679 8,728 8,778 8,827 8,877 8,929 8,981 9,034 9,087 9,141 9,195 9,249 9,304 9,359 9,414 9,469 9,524 9,580 9,636 9,692 9,748 9,802 9,854 9,905 9,957 10,009 10,059 10,109 10,159 10,210 10,260 10,310 10,360 10,410 10,459 Mpumalanga 2,372 2,385 2,398 2,411 2,423 2,436 2,449 2,461 2,474 2,486 2,499 2,512 2,524 2,537 2,550 2,563 2,576 2,589 2,602 2,616 2,629 2,642 2,656 2,669 2,683 2,696 2,710 2,723 2,736 2,750 2,763 2,776 2,789 2,802 2,815 2,828 2,841 2,853 2,866 2,877 2,889 2,901 2,913 2,924 2,935 2,947 2,958 2,969 Limpopo 3,060 3,079 3,099 3,118 3,137 3,156 3,175 3,193 3,212 3,230 3,248 3,266 3,284 3,301 3,319 3,335 3,352 3,369 3,386 3,402 3,418 3,434 3,450 3,466 3,482 3,497 3,513 3,528 3,543 3,558 3,574 3,589 3,604 3,619 3,634 3,649 3,663 3,678 3,692 3,705 3,718 3,731 3,744 3,756 3,768 3,780 3,793 3,804 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals. Source: Quarterly Labour Force Survey, Q1 2008 - Q4 2019 Table 2 Table 2: Labour force characteristics by sex - All population groups Jan-Mar 2008 Apr-Jun 2008 Jul-Sep 2008 Oct-Dec 2008 Jan-Mar 2009 Apr-Jun 2009 Jul-Sep 2009 Oct-Dec 2009 Jan-Mar 2010 Apr-Jun 2010 Jul-Sep 2010 Oct-Dec 2010 Jan-Mar 2011 Apr-Jun 2011 Jul-Sep 2011 Oct-Dec 2011 Jan-Mar 2012 Apr-Jun 2012 Jul-Sep 2012 Oct-Dec 2012 Jan-Mar 2013 Apr-Jun 2013 Jul-Sep 2013 Oct-Dec 2013 Jan-Mar 2014 Apr-Jun 2014 Jul-Sep 2014 Oct-Dec 2014 Jan-Mar 2015 Apr-Jun 2015 Jul-Sep 2015 Oct-Dec 2015 Jan-Mar 2016 Apr-Jun 2016 Jul-Sep 2016 Oct-Dec 2016 Jan-Mar 2017 Apr-Jun 2017 Jul-Sep 2017 Oct-Dec 2017 Jan-Mar 2018 Apr-Jun 2018 Jul-Sep 2018 Oct-Dec 2018 Jan-Mar 2019 Apr-Jun 2019 Jul-Sep 2019 Oct-Dec 2019 Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Both sexes Population 15-64 yrs 31,544 31,690 31,839 31,987 32,135 32,285 32,435 32,584 32,732 32,882 33,033 33,184 33,335 33,487 33,640 33,792 33,945 34,098 34,253 34,405 34,558 34,712 34,868 35,022 35,177 35,332 35,489 35,643 35,799 35,955 36,114 36,272 36,431 36,591 36,750 36,905 37,061 37,217 37,373 37,525 37,678 37,832 37,985 38,134 38,283 38,433 38,582 38,727 Labour Force 18,808 18,851 18,848 18,817 18,982 18,698 18,306 18,402 18,410 18,431 18,303 18,266 18,501 18,703 18,818 18,804 19,053 19,051 19,463 19,233 19,420 19,663 19,916 20,007 20,122 20,248 20,268 20,228 20,994 20,887 21,246 21,211 21,398 21,179 21,706 21,849 22,426 22,277 22,402 22,051 22,358 22,370 22,589 22,668 22,492 22,968 23,109 23,146 Employed 14,438 14,584 14,549 14,769 14,616 14,357 13,830 13,973 13,797 13,809 13,648 13,898 13,904 13,922 14,118 14,336 14,284 14,330 14,562 14,524 14,558 14,692 15,036 15,177 15,055 15,094 15,117 15,320 15,459 15,657 15,828 16,018 15,675 15,545 15,833 16,069 16,212 16,100 16,192 16,171 16,378 16,288 16,380 16,529 16,291 16,313 16,375 16,420 Formal sector (Non-agricultural) 9,934 10,065 10,113 10,221 10,161 10,076 9,786 9,844 9,695 9,610 9,481 9,720 9,785 9,773 10,001 10,210 10,121 10,192 10,311 10,266 10,242 10,374 10,709 10,773 10,780 10,755 10,843 10,911 10,796 10,835 10,930 11,180 10,983 10,917 11,029 11,156 11,337 11,193 11,379 11,244 11,355 11,320 11,255 11,346 11,220 11,172 11,214 11,331 Informal sector (Non-agricultural) 2,433 2,444 2,278 2,365 2,284 2,242 2,108 2,249 2,148 2,292 2,277 2,317 2,277 2,307 2,264 2,232 2,212 2,209 2,327 2,351 2,334 2,360 2,323 2,446 2,336 2,379 2,407 2,448 2,483 2,661 2,721 2,684 2,565 2,507 2,641 2,695 2,681 2,761 2,689 2,808 2,901 2,828 3,017 3,001 2,933 3,048 2,995 2,918 Agriculture 838 820 810 807 778 752 681 647 683 655 674 649 627 626 653 671 694 674 699 718 764 742 740 713 709 670 686 742 891 869 897 860 869 825 881 919 875 835 810 849 847 843 842 849 837 842 880 885 Private households 1,233 1,255 1,348 1,376 1,393 1,286 1,254 1,232 1,271 1,251 1,215 1,212 1,214 1,216 1,201 1,224 1,257 1,255 1,225 1,189 1,219 1,215 1,264 1,244 1,231 1,290 1,180 1,219 1,288 1,292 1,280 1,294 1,257 1,296 1,281 1,299 1,319 1,311 1,313 1,270 1,275 1,296 1,267 1,332 1,301 1,251 1,286 1,286 Unemployed 4,371 4,267 4,299 4,048 4,366 4,341 4,476 4,429 4,612 4,622 4,655 4,368 4,597 4,782 4,699 4,467 4,769 4,721 4,901 4,709 4,862 4,972 4,880 4,830 5,067 5,154 5,151 4,909 5,535 5,230 5,418 5,193 5,723 5,634 5,873 5,781 6,214 6,177 6,210 5,880 5,980 6,083 6,209 6,139 6,201 6,655 6,734 6,726 Not economically active 12,736 12,839 12,991 13,170 13,153 13,587 14,129 14,182 14,323 14,451 14,731 14,918 14,834 14,783 14,822 14,988 14,892 15,047 14,790 15,172 15,138 15,049 14,952 15,015 15,055 15,084 15,221 15,415 14,805 15,068 14,867 15,061 15,033 15,412 15,044 15,055 14,634 14,941 14,971 15,474 15,320 15,462 15,395 15,466 15,791 15,465 15,474 15,581 Discouraged work-seekers 1,202 1,101 1,093 1,189 1,233 1,536 1,646 1,726 1,890 1,960 2,079 2,176 2,243 2,214 2,213 2,339 2,380 2,360 2,214 2,301 2,401 2,425 2,297 2,200 2,355 2,419 2,514 2,403 2,397 2,434 2,226 2,279 2,434 2,526 2,291 2,292 2,277 2,361 2,436 2,538 2,787 2,864 2,733 2,841 2,997 2,749 2,793 2,855 Other(not economically active) 11,534 11,738 11,898 11,982 11,921 12,051 12,483 12,456 12,432 12,492 12,652 12,742 12,591 12,569 12,610 12,650 12,512 12,687 12,575 12,870 12,737 12,624 12,655 12,815 12,700 12,665 12,707 13,012 12,408 12,633 12,641 12,782 12,599 12,886 12,753 12,763 12,357 12,580 12,536 12,936 12,533 12,598 12,662 12,625 12,793 12,716 12,681 12,726 Rates (%) Unemployment rate 23.2 22.6 22.8 21.5 23.0 23.2 24.5 24.1 25.1 25.1 25.4 23.9 24.8 25.6 25.0 23.8 25.0 24.8 25.2 24.5 25.0 25.3 24.5 24.1 25.2 25.5 25.4 24.3 26.4 25.0 25.5 24.5 26.7 26.6 27.1 26.5 27.7 27.7 27.7 26.7 26.7 27.2 27.5 27.1 27.6 29.0 29.1 29.1 Employed / population ratio (Absorption) 45.8 46.0 45.7 46.2 45.5 44.5 42.6 42.9 42.2 42.0 41.3 41.9 41.7 41.6 42.0 42.4 42.1 42.0 42.5 42.2 42.1 42.3 43.1 43.3 42.8 42.7 42.6 43.0 43.2 43.5 43.8 44.2 43.0 42.5 43.1 43.5 43.7 43.3 43.3 43.1 43.5 43.1 43.1 43.3 42.6 42.4 42.4 42.4 Labour force participation rate 59.6 59.5 59.2 58.8 59.1 57.9 56.4 56.5 56.2 56.1 55.4 55.0 55.5 55.9 55.9 55.6 56.1 55.9 56.8 55.9 56.2 56.6 57.1 57.1 57.2 57.3 57.1 56.8 58.6 58.1 58.8 58.5 58.7 57.9 59.1 59.2 60.5 59.9 59.9 58.8 59.3 59.1 59.5 59.4 58.8 59.8 59.9 59.8 Women Population 15-64 yrs 16,233 16,299 16,366 16,433 16,500 16,568 16,636 16,703 16,767 16,837 16,906 16,974 17,042 17,110 17,179 17,248 17,317 17,387 17,457 17,527 17,596 17,666 17,738 17,808 17,879 17,950 18,022 18,093 18,164 18,236 18,309 18,383 18,456 18,530 18,604 18,679 18,753 18,828 18,903 18,975 19,048 19,122 19,195 19,267 19,339 19,411 19,483 19,554 Labour Force 8,454 8,496 8,463 8,468 8,542 8,378 8,217 8,170 8,222 8,217 8,124 8,122 8,296 8,412 8,458 8,448 8,580 8,527 8,697 8,601 8,679 8,878 9,077 9,046 9,113 9,145 9,113 9,090 9,490 9,438 9,592 9,567 9,672 9,524 9,727 9,883 10,232 10,086 10,147 9,953 10,138 10,119 10,240 10,276 10,174 10,383 10,485 10,514 Employed 6,202 6,266 6,280 6,361 6,358 6,261 6,056 6,076 5,988 5,969 5,859 5,984 5,984 6,045 6,131 6,263 6,241 6,237 6,304 6,274 6,353 6,434 6,700 6,670 6,653 6,629 6,577 6,676 6,763 6,858 6,912 6,995 6,840 6,754 6,873 7,031 7,182 7,078 7,125 7,071 7,222 7,134 7,225 7,250 7,192 7,133 7,242 7,220 Formal sector (Non-agricultural) 3,853 3,937 3,954 4,011 4,012 4,032 3,913 3,928 3,858 3,799 3,761 3,891 3,894 3,959 4,043 4,188 4,150 4,165 4,193 4,184 4,214 4,297 4,481 4,485 4,502 4,495 4,477 4,582 4,533 4,546 4,563 4,665 4,641 4,583 4,652 4,754 4,883 4,770 4,805 4,730 4,842 4,817 4,827 4,820 4,763 4,747 4,838 4,883 Informal sector (Non-agricultural) 1,094 1,097 1,011 1,022 1,011 992 935 974 911 971 932 945 934 942 928 905 891 888 937 916 924 943 977 971 961 923 941 924 948 1,026 1,035 1,019 966 960 970 977 1,021 1,026 1,057 1,084 1,113 1,042 1,125 1,113 1,147 1,163 1,147 1,064 Agriculture 294 257 263 244 242 222 225 214 252 221 213 216 215 199 215 217 225 211 232 237 254 222 232 210 212 207 206 228 289 286 308 288 271 235 255 305 278 264 252 267 285 278 277 285 278 248 262 302 Private households 961 975 1,052 1,084 1,093 1,015 983 960 967 977 953 932 940 945 945 953 974 973 943 937 960 972 1,010 1,004 977 1,004 953 942 994 1,000 1,006 1,023 961 976 996 995 1,001 1,018 1,010 990 982 996 995 1,032 1,004 974 994 971 Unemployed 2,252 2,231 2,183 2,107 2,184 2,118 2,160 2,094 2,234 2,248 2,265 2,138 2,312 2,367 2,327 2,185 2,340 2,289 2,393 2,327 2,326 2,444 2,377 2,376 2,460 2,516 2,536 2,414 2,727 2,580 2,680 2,572 2,832 2,770 2,854 2,852 3,049 3,008 3,022 2,882 2,915 2,986 3,016 3,027 2,982 3,250 3,243 3,295 Not economically active 7,779 7,803 7,903 7,965 7,959 8,190 8,419 8,533 8,546 8,620 8,781 8,852 8,746 8,698 8,721 8,800 8,737 8,861 8,760 8,926 8,918 8,788 8,661 8,762 8,766 8,805 8,908 9,003 8,674 8,798 8,717 8,816 8,784 9,006 8,877 8,796 8,522 8,743 8,756 9,022 8,911 9,002 8,955 8,991 9,165 9,029 8,999 9,039 Discouraged work-seekers 737 664 657 682 723 879 922 999 1,060 1,082 1,176 1,208 1,243 1,203 1,237 1,285 1,302 1,347 1,242 1,286 1,342 1,334 1,228 1,175 1,243 1,283 1,338 1,276 1,338 1,368 1,236 1,294 1,306 1,369 1,301 1,289 1,233 1,288 1,357 1,414 1,564 1,594 1,520 1,577 1,627 1,514 1,460 1,505 Other(not economically active) 7,042 7,139 7,246 7,283 7,236 7,311 7,497 7,534 7,486 7,538 7,606 7,644 7,503 7,495 7,485 7,515 7,436 7,514 7,518 7,640 7,575 7,454 7,433 7,587 7,523 7,522 7,570 7,727 7,336 7,430 7,482 7,522 7,479 7,637 7,576 7,506 7,288 7,454 7,399 7,608 7,346 7,409 7,435 7,413 7,539 7,515 7,539 7,534 Rates (%) Unemployment rate 26.6 26.3 25.8 24.9 25.6 25.3 26.3 25.6 27.2 27.4 27.9 26.3 27.9 28.1 27.5 25.9 27.3 26.8 27.5 27.1 26.8 27.5 26.2 26.3 27.0 27.5 27.8 26.6 28.7 27.3 27.9 26.9 29.3 29.1 29.3 28.9 29.8 29.8 29.8 29.0 28.8 29.5 29.4 29.5 29.3 31.3 30.9 31.3 Employed / population ratio (Absorption) 38.2 38.4 38.4 38.7 38.5 37.8 36.4 36.4 35.7 35.5 34.7 35.3 35.1 35.3 35.7 36.3 36.0 35.9 36.1 35.8 36.1 36.4 37.8 37.5 37.2 36.9 36.5 36.9 37.2 37.6 37.8 38.1 37.1 36.4 36.9 37.6 38.3 37.6 37.7 37.3 37.9 37.3 37.6 37.6 37.2 36.7 37.2 36.9 Labour force participation rate 52.1 52.1 51.7 51.5 51.8 50.6 49.4 48.9 49.0 48.8 48.1 47.8 48.7 49.2 49.2 49.0 49.5 49.0 49.8 49.1 49.3 50.3 51.2 50.8 51.0 50.9 50.6 50.2 52.2 51.8 52.4 52.0 52.4 51.4 52.3 52.9 54.6 53.6 53.7 52.5 53.2 52.9 53.3 53.3 52.6 53.5 53.8 53.8 Men Population 15-64 yrs 15,311 15,391 15,472 15,554 15,635 15,717 15,799 15,881 15,965 16,045 16,128 16,210 16,293 16,377 16,461 16,544 16,627 16,711 16,795 16,878 16,962 17,046 17,130 17,214 17,298 17,382 17,467 17,550 17,634 17,719 17,804 17,889 17,975 18,061 18,145 18,226 18,307 18,389 18,471 18,550 18,630 18,710 18,790 18,867 18,944 19,022 19,099 19,174 Labour Force 10,355 10,355 10,385 10,348 10,440 10,320 10,089 10,232 10,188 10,214 10,178 10,144 10,205 10,291 10,360 10,356 10,473 10,524 10,766 10,633 10,742 10,786 10,839 10,961 11,009 11,103 11,154 11,138 11,504 11,449 11,655 11,644 11,726 11,655 11,979 11,966 12,195 12,191 12,255 12,098 12,220 12,251 12,349 12,392 12,319 12,585 12,624 12,632 Employed 8,236 8,319 8,268 8,408 8,258 8,096 7,773 7,897 7,810 7,840 7,788 7,914 7,920 7,877 7,987 8,074 8,044 8,093 8,257 8,250 8,206 8,257 8,336 8,507 8,402 8,465 8,540 8,643 8,696 8,799 8,916 9,023 8,835 8,792 8,960 9,037 9,030 9,022 9,067 9,100 9,155 9,154 9,156 9,279 9,100 9,180 9,133 9,201 Formal sector (Non-agricultural) 6,081 6,128 6,159 6,210 6,149 6,045 5,873 5,916 5,837 5,811 5,720 5,829 5,892 5,814 5,958 6,022 5,971 6,027 6,118 6,082 6,028 6,077 6,228 6,288 6,278 6,260 6,367 6,329 6,264 6,289 6,367 6,515 6,342 6,335 6,377 6,402 6,454 6,423 6,574 6,514 6,513 6,503 6,427 6,526 6,458 6,424 6,376 6,448 Informal sector (Non-agricultural) 1,339 1,347 1,266 1,344 1,273 1,250 1,172 1,275 1,237 1,321 1,345 1,372 1,343 1,365 1,336 1,327 1,321 1,321 1,390 1,435 1,410 1,417 1,346 1,475 1,375 1,456 1,467 1,524 1,535 1,635 1,686 1,665 1,599 1,546 1,672 1,718 1,660 1,734 1,632 1,724 1,789 1,786 1,892 1,888 1,786 1,884 1,848 1,854 Agriculture 544 563 547 563 536 531 456 434 431 434 462 433 412 426 439 454 468 463 467 480 510 520 508 503 496 463 479 514 603 584 589 572 598 590 627 614 597 571 558 582 561 565 565 564 559 594 618 583 Private households 272 281 297 292 300 271 272 272 304 275 263 280 273 272 255 271 284 282 283 252 259 243 254 241 254 286 227 276 294 291 274 270 296 320 285 304 319 294 303 280 293 300 271 300 296 277 292 315 Unemployed 2,119 2,036 2,116 1,941 2,183 2,223 2,316 2,335 2,378 2,374 2,390 2,230 2,285 2,415 2,372 2,282 2,429 2,432 2,508 2,383 2,536 2,528 2,503 2,454 2,607 2,638 2,614 2,495 2,808 2,650 2,738 2,621 2,891 2,864 3,018 2,929 3,165 3,169 3,188 2,998 3,065 3,097 3,194 3,113 3,219 3,406 3,491 3,431 Not economically active 4,956 5,036 5,088 5,205 5,195 5,397 5,710 5,649 5,777 5,831 5,949 6,066 6,089 6,085 6,101 6,188 6,154 6,187 6,030 6,246 6,220 6,260 6,291 6,253 6,289 6,279 6,313 6,412 6,131 6,269 6,150 6,245 6,249 6,406 6,166 6,260 6,113 6,198 6,215 6,452 6,410 6,459 6,440 6,475 6,625 6,436 6,475 6,542 Discouraged work-seekers 465 437 436 506 509 657 724 727 830 878 903 969 1,000 1,011 976 1,053 1,078 1,013 972 1,015 1,058 1,090 1,069 1,025 1,112 1,136 1,176 1,127 1,059 1,066 991 985 1,128 1,157 989 1,003 1,044 1,072 1,078 1,125 1,223 1,270 1,213 1,263 1,371 1,235 1,333 1,350 Other(not economically active) 4,492 4,599 4,652 4,699 4,685 4,740 4,986 4,922 4,947 4,953 5,046 5,097 5,089 5,074 5,125 5,135 5,076 5,173 5,058 5,231 5,162 5,170 5,222 5,228 5,177 5,143 5,137 5,285 5,072 5,203 5,159 5,260 5,120 5,249 5,177 5,257 5,069 5,126 5,137 5,328 5,187 5,189 5,228 5,212 5,255 5,201 5,142 5,191 Rates (%) Unemployment rate 20.5 19.7 20.4 18.8 20.9 21.5 23.0 22.8 23.3 23.2 23.5 22.0 22.4 23.5 22.9 22.0 23.2 23.1 23.3 22.4 23.6 23.4 23.1 22.4 23.7 23.8 23.4 22.4 24.4 23.1 23.5 22.5 24.7 24.6 25.2 24.5 26.0 26.0 26.0 24.8 25.1 25.3 25.9 25.1 26.1 27.1 27.7 27.2 Employed / population ratio (Absorption) 53.8 54.1 53.4 54.1 52.8 51.5 49.2 49.7 48.9 48.9 48.3 48.8 48.6 48.1 48.5 48.8 48.4 48.4 49.2 48.9 48.4 48.4 48.7 49.4 48.6 48.7 48.9 49.2 49.3 49.7 50.1 50.4 49.2 48.7 49.4 49.6 49.3 49.1 49.1 49.1 49.1 48.9 48.7 49.2 48.0 48.3 47.8 48.0 Labour force participation rate 67.6 67.3 67.1 66.5 66.8 65.7 63.9 64.4 63.8 63.7 63.1 62.6 62.6 62.8 62.9 62.6 63.0 63.0 64.1 63.0 63.3 63.3 63.3 63.7 63.6 63.9 63.9 63.5 65.2 64.6 65.5 65.1 65.2 64.5 66.0 65.7 66.6 66.3 66.4 65.2 65.6 65.5 65.7 65.7 65.0 66.2 66.1 65.9 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals. Table2.1 Table 2.1: Labour force characteristics by population group Jan-Mar 2008 Apr-Jun 2008 Jul-Sep 2008 Oct-Dec 2008 Jan-Mar 2009 Apr-Jun 2009 Jul-Sep 2009 Oct-Dec 2009 Jan-Mar 2010 Apr-Jun 2010 Jul-Sep 2010 Oct-Dec 2010 Jan-Mar 2011 Apr-Jun 2011 Jul-Sep 2011 Oct-Dec 2011 Jan-Mar 2012 Apr-Jun 2012 Jul-Sep 2012 Oct-Dec 2012 Jan-Mar 2013 Apr-Jun 2013 Jul-Sep 2013 Oct-Dec 2013 Jan-Mar 2014 Apr-Jun 2014 Jul-Sep 2014 Oct-Dec 2014 Jan-Mar 2015 Apr-Jun 2015 Jul-Sep 2015 Oct-Dec 2015 Jan-Mar 2016 Apr-Jun 2016 Jul-Sep 2016 Oct-Dec 2016 Jan-Mar 2017 Apr-Jun 2017 Jul-Sep 2017 Oct-Dec 2017 Jan-Mar 2018 Apr-Jun 2018 Jul-Sep 2018 Oct-Dec 2018 Jan-Mar 2019 Apr-Jun 2019 Jul-Sep 2019 Oct-Dec 2019 Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand South Africa Population 15-64 yrs 31,544 31,690 31,839 31,987 32,135 32,285 32,435 32,584 32,732 32,882 33,033 33,184 33,335 33,487 33,640 33,792 33,945 34,098 34,253 34,405 34,558 34,712 34,868 35,022 35,177 35,332 35,489 35,643 35,799 35,955 36,114 36,272 36,431 36,591 36,750 36,905 37,061 37,217 37,373 37,525 37,678 37,832 37,985 38,134 38,283 38,433 38,582 38,727 Labour Force 18,808 18,851 18,848 18,817 18,982 18,698 18,306 18,402 18,410 18,431 18,303 18,266 18,501 18,703 18,818 18,804 19,053 19,051 19,463 19,233 19,420 19,663 19,916 20,007 20,122 20,248 20,268 20,228 20,994 20,887 21,246 21,211 21,398 21,179 21,706 21,849 22,426 22,277 22,402 22,051 22,358 22,370 22,589 22,668 22,492 22,968 23,109 23,146 Employed 14,438 14,584 14,549 14,769 14,616 14,357 13,830 13,973 13,797 13,809 13,648 13,898 13,904 13,922 14,118 14,336 14,284 14,330 14,562 14,524 14,558 14,692 15,036 15,177 15,055 15,094 15,117 15,320 15,459 15,657 15,828 16,018 15,675 15,545 15,833 16,069 16,212 16,100 16,192 16,171 16,378 16,288 16,380 16,529 16,291 16,313 16,375 16,420 Unemployed 4,371 4,267 4,299 4,048 4,366 4,341 4,476 4,429 4,612 4,622 4,655 4,368 4,597 4,782 4,699 4,467 4,769 4,721 4,901 4,709 4,862 4,972 4,880 4,830 5,067 5,154 5,151 4,909 5,535 5,230 5,418 5,193 5,723 5,634 5,873 5,781 6,214 6,177 6,210 5,880 5,980 6,083 6,209 6,139 6,201 6,655 6,734 6,726 Not economically active 12,736 12,839 12,991 13,170 13,153 13,587 14,129 14,182 14,323 14,451 14,731 14,918 14,834 14,783 14,822 14,988 14,892 15,047 14,790 15,172 15,138 15,049 14,952 15,015 15,055 15,084 15,221 15,415 14,805 15,068 14,867 15,061 15,033 15,412 15,044 15,055 14,634 14,941 14,971 15,474 15,320 15,462 15,395 15,466 15,791 15,465 15,474 15,581 Rates (%) Unemployment rate 23.2 22.6 22.8 21.5 23.0 23.2 24.5 24.1 25.1 25.1 25.4 23.9 24.8 25.6 25.0 23.8 25.0 24.8 25.2 24.5 25.0 25.3 24.5 24.1 25.2 25.5 25.4 24.3 26.4 25.0 25.5 24.5 26.7 26.6 27.1 26.5 27.7 27.7 27.7 26.7 26.7 27.2 27.5 27.1 27.6 29.0 29.1 29.1 Employed / population ratio (Absorption) 45.8 46.0 45.7 46.2 45.5 44.5 42.6 42.9 42.2 42.0 41.3 41.9 41.7 41.6 42.0 42.4 42.1 42.0 42.5 42.2 42.1 42.3 43.1 43.3 42.8 42.7 42.6 43.0 43.2 43.5 43.8 44.2 43.0 42.5 43.1 43.5 43.7 43.3 43.3 43.1 43.5 43.1 43.1 43.3 42.6 42.4 42.4 42.4 Labour force participation rate 59.6 59.5 59.2 58.8 59.1 57.9 56.4 56.5 56.2 56.1 55.4 55.0 55.5 55.9 55.9 55.6 56.1 55.9 56.8 55.9 56.2 56.6 57.1 57.1 57.2 57.3 57.1 56.8 58.6 58.1 58.8 58.5 58.7 57.9 59.1 59.2 60.5 59.9 59.9 58.8 59.3 59.1 59.5 59.4 58.8 59.8 59.9 59.8 Black/African Population 15-64 yrs 24,423 24,556 24,693 24,830 24,967 25,105 25,244 25,382 25,526 25,659 25,800 25,941 26,082 26,224 26,368 26,512 26,656 26,801 26,947 27,092 27,237 27,383 27,532 27,679 27,827 27,975 28,125 28,274 28,423 28,573 28,726 28,879 29,033 29,187 29,341 29,493 29,645 29,798 29,950 30,099 30,249 30,399 30,550 30,697 30,844 30,992 31,140 31,284 Labour Force 13,983 14,082 14,079 14,078 14,126 13,915 13,607 13,653 13,615 13,677 13,587 13,577 13,773 14,037 14,070 14,079 14,299 14,364 14,701 14,498 14,655 14,869 15,102 15,215 15,313 15,447 15,450 15,441 16,133 16,113 16,442 16,382 16,569 16,452 16,920 17,043 17,502 17,504 17,593 17,233 17,481 17,509 17,798 17,908 17,714 18,201 18,236 18,298 Employed 10,171 10,363 10,301 10,501 10,311 10,119 9,727 9,802 9,628 9,700 9,540 9,795 9,827 9,868 10,035 10,236 10,201 10,297 10,501 10,460 10,501 10,623 10,943 11,091 10,955 11,072 11,038 11,248 11,344 11,625 11,704 11,860 11,576 11,506 11,764 11,939 12,009 12,025 12,122 12,057 12,223 12,172 12,265 12,461 12,201 12,250 12,262 12,365 Unemployed 3,812 3,719 3,777 3,577 3,815 3,796 3,880 3,852 3,987 3,977 4,047 3,783 3,946 4,169 4,034 3,844 4,098 4,067 4,200 4,038 4,153 4,246 4,159 4,124 4,358 4,375 4,413 4,193 4,788 4,488 4,738 4,522 4,993 4,946 5,156 5,105 5,493 5,479 5,471 5,176 5,259 5,337 5,533 5,446 5,513 5,951 5,974 5,934 Not economically active 10,439 10,474 10,614 10,752 10,841 11,190 11,637 11,729 11,911 11,982 12,213 12,364 12,310 12,187 12,299 12,433 12,357 12,437 12,246 12,594 12,582 12,515 12,430 12,464 12,514 12,528 12,675 12,834 12,291 12,460 12,285 12,497 12,464 12,736 12,421 12,450 12,143 12,294 12,358 12,866 12,768 12,891 12,752 12,789 13,130 12,791 12,903 12,986 Rates (%) Unemployment rate 27.3 26.4 26.8 25.4 27.0 27.3 28.5 28.2 29.3 29.1 29.8 27.9 28.7 29.7 28.7 27.3 28.7 28.3 28.6 27.9 28.3 28.6 27.5 27.1 28.5 28.3 28.6 27.2 29.7 27.9 28.8 27.6 30.1 30.1 30.5 30.0 31.4 31.3 31.1 30.0 30.1 30.5 31.1 30.4 31.1 32.7 32.8 32.4 Employed / population ratio (Absorption) 41.6 42.2 41.7 42.3 41.3 40.3 38.5 38.6 37.7 37.8 37.0 37.8 37.7 37.6 38.1 38.6 38.3 38.4 39.0 38.6 38.6 38.8 39.7 40.1 39.4 39.6 39.2 39.8 39.9 40.7 40.7 41.1 39.9 39.4 40.1 40.5 40.5 40.4 40.5 40.1 40.4 40.0 40.1 40.6 39.6 39.5 39.4 39.5 Labour force participation rate 57.3 57.3 57.0 56.7 56.6 55.4 53.9 53.8 53.3 53.3 52.7 52.3 52.8 53.5 53.4 53.1 53.6 53.6 54.6 53.5 53.8 54.3 54.9 55.0 55.0 55.2 54.9 54.6 56.8 56.4 57.2 56.7 57.1 56.4 57.7 57.8 59.0 58.7 58.7 57.3 57.8 57.6 58.3 58.3 57.4 58.7 58.6 58.5 Coloured Population 15-64 yrs 2,967 2,980 2,994 3,007 3,020 3,033 3,047 3,060 3,072 3,086 3,099 3,112 3,125 3,137 3,150 3,163 3,175 3,187 3,200 3,212 3,224 3,236 3,247 3,259 3,270 3,282 3,293 3,304 3,315 3,325 3,336 3,346 3,356 3,366 3,377 3,386 3,396 3,406 3,415 3,425 3,434 3,443 3,452 3,460 3,468 3,477 3,485 3,493 Labour Force 1,949 1,937 1,930 1,940 2,001 1,971 1,959 1,988 2,005 1,977 1,977 1,948 1,991 1,913 2,025 1,994 2,022 2,005 2,064 2,047 2,043 2,062 2,076 2,102 2,121 2,144 2,158 2,118 2,150 2,135 2,122 2,130 2,166 2,094 2,129 2,159 2,191 2,134 2,156 2,173 2,240 2,236 2,172 2,162 2,201 2,175 2,248 2,235 Employed 1,574 1,560 1,564 1,598 1,617 1,588 1,536 1,576 1,569 1,531 1,528 1,529 1,533 1,470 1,540 1,567 1,535 1,524 1,554 1,562 1,561 1,541 1,567 1,619 1,622 1,601 1,639 1,632 1,650 1,613 1,638 1,670 1,655 1,609 1,642 1,685 1,690 1,631 1,639 1,662 1,731 1,716 1,700 1,696 1,711 1,687 1,719 1,680 Unemployed 375 378 366 342 384 383 422 412 436 447 449 420 458 442 484 428 487 482 510 485 482 521 509 483 499 543 520 486 501 522 484 460 511 485 488 474 501 503 517 511 510 520 473 466 489 489 529 556 Not economically active 1,018 1,043 1,064 1,067 1,020 1,062 1,088 1,072 1,067 1,108 1,122 1,163 1,134 1,225 1,125 1,168 1,153 1,182 1,136 1,164 1,180 1,173 1,172 1,157 1,149 1,138 1,135 1,186 1,164 1,190 1,214 1,216 1,191 1,273 1,247 1,227 1,205 1,272 1,259 1,252 1,193 1,207 1,279 1,298 1,268 1,302 1,237 1,257 Rates (%) Unemployment rate 19.2 19.5 19.0 17.6 19.2 19.4 21.6 20.7 21.7 22.6 22.7 21.5 23.0 23.1 23.9 21.5 24.1 24.0 24.7 23.7 23.6 25.3 24.5 23.0 23.5 25.3 24.1 22.9 23.3 24.4 22.8 21.6 23.6 23.2 22.9 22.0 22.9 23.6 24.0 23.5 22.7 23.3 21.8 21.6 22.2 22.5 23.5 24.9 Employed / population ratio (Absorption) 53.0 52.3 52.2 53.1 53.5 52.4 50.4 51.5 51.1 49.6 49.3 49.1 49.1 46.9 48.9 49.5 48.4 47.8 48.6 48.6 48.4 47.6 48.2 49.7 49.6 48.8 49.8 49.4 49.8 48.5 49.1 49.9 49.3 47.8 48.6 49.8 49.8 47.9 48.0 48.5 50.4 49.8 49.2 49.0 49.3 48.5 49.3 48.1 Labour force participation rate 65.7 65.0 64.5 64.5 66.2 65.0 64.3 65.0 65.3 64.1 63.8 62.6 63.7 61.0 64.3 63.1 63.7 62.9 64.5 63.7 63.4 63.7 63.9 64.5 64.9 65.3 65.5 64.1 64.9 64.2 63.6 63.6 64.5 62.2 63.1 63.8 64.5 62.7 63.1 63.4 65.2 65.0 62.9 62.5 63.4 62.6 64.5 64.0 Indian/Asian Population 15-64 yrs 877 881 885 888 892 896 899 903 906 910 913 917 920 924 927 930 934 937 940 943 947 950 953 956 959 962 965 968 971 974 977 980 983 985 988 990 992 994 996 998 1,000 1,003 1,005 1,007 1,009 1,011 1,013 1,016 Labour Force 531 543 556 540 548 531 528 515 537 556 573 567 556 563 536 541 556 532 556 569 588 593 572 563 563 552 573 574 594 564 576 587 569 572 601 602 624 606 607 599 602 610 594 598 591 597 617 608 Employed 470 477 493 479 483 474 462 459 488 502 526 523 493 502 479 493 504 482 491 499 517 516 506 492 493 485 507 506 501 488 504 524 499 505 522 535 544 526 541 544 530 547 534 524 524 530 535 523 Unemployed 62 66 63 61 65 58 66 56 49 54 47 44 63 61 58 48 52 50 64 69 71 76 66 71 70 67 66 69 93 75 72 64 70 67 79 67 80 80 66 55 71 63 60 74 67 67 82 85 Not economically active 346 338 329 348 344 364 371 387 369 354 340 350 365 361 391 390 378 405 385 375 359 357 381 393 396 410 392 394 377 410 401 392 414 414 387 388 368 388 389 399 399 392 411 409 418 414 396 407 Rates (%) Unemployment rate 11.7 12.1 11.3 11.3 11.9 10.9 12.6 10.9 9.1 9.7 8.2 7.7 11.3 10.9 10.8 8.9 9.3 9.3 11.5 12.2 12.1 12.9 11.5 12.5 12.4 12.1 11.5 11.9 15.7 13.4 12.5 10.9 12.3 11.7 13.2 11.1 12.9 13.3 10.9 9.2 11.8 10.4 10.1 12.4 11.4 11.2 13.3 13.9 Employed / population ratio (Absorption) 53.5 54.1 55.7 53.9 54.1 52.9 51.3 50.9 53.9 55.2 57.6 57.1 53.5 54.3 51.6 53.0 54.0 51.5 52.3 52.9 54.6 54.3 53.1 51.5 51.4 50.5 52.5 52.2 51.6 50.1 51.6 53.4 50.8 51.2 52.8 54.1 54.8 52.9 54.3 54.5 53.0 54.6 53.1 52.0 51.9 52.4 52.8 51.5 Labour force participation rate 60.6 61.6 62.8 60.8 61.4 59.3 58.7 57.1 59.3 61.1 62.7 61.9 60.4 60.9 57.9 58.1 59.5 56.8 59.1 60.3 62.1 62.4 60.0 58.9 58.7 57.4 59.3 59.3 61.2 57.9 59.0 59.9 57.9 58.0 60.9 60.8 62.9 61.0 61.0 60.0 60.1 60.9 59.1 59.4 58.6 59.1 60.9 59.9 White Population 15-64 yrs 3,277 3,273 3,267 3,262 3,256 3,251 3,245 3,239 3,229 3,227 3,221 3,214 3,208 3,201 3,194 3,187 3,180 3,173 3,166 3,158 3,151 3,143 3,136 3,128 3,120 3,113 3,105 3,097 3,090 3,082 3,074 3,067 3,059 3,052 3,044 3,036 3,028 3,020 3,012 3,003 2,995 2,987 2,979 2,970 2,961 2,953 2,944 2,935 Labour Force 2,345 2,289 2,283 2,258 2,308 2,280 2,212 2,245 2,252 2,220 2,166 2,173 2,182 2,191 2,187 2,189 2,176 2,149 2,143 2,119 2,134 2,140 2,166 2,127 2,124 2,105 2,086 2,096 2,117 2,075 2,107 2,112 2,095 2,062 2,055 2,045 2,109 2,033 2,046 2,046 2,035 2,015 2,025 2,000 1,986 1,994 2,007 2,005 Employed 2,223 2,185 2,190 2,191 2,206 2,176 2,105 2,136 2,112 2,076 2,054 2,051 2,051 2,082 2,064 2,041 2,044 2,027 2,015 2,003 1,979 2,011 2,020 1,975 1,985 1,936 1,933 1,934 1,965 1,930 1,983 1,965 1,945 1,926 1,905 1,910 1,969 1,918 1,890 1,909 1,894 1,853 1,881 1,847 1,855 1,845 1,859 1,853 Unemployed 122 104 93 67 102 104 107 109 141 144 112 122 130 109 123 148 132 123 128 117 156 128 146 152 139 170 153 162 153 145 124 147 150 136 150 135 139 115 156 137 141 162 144 153 131 148 148 152 Not economically active 932 983 984 1,003 948 971 1,033 994 977 1,007 1,055 1,041 1,026 1,011 1,007 998 1,004 1,024 1,023 1,039 1,016 1,004 970 1,001 996 1,008 1,019 1,002 972 1,007 968 955 964 990 989 991 919 987 966 957 960 972 953 970 976 959 937 931 Rates (%) Unemployment rate 5.2 4.5 4.1 3.0 4.4 4.6 4.8 4.9 6.2 6.5 5.2 5.6 6.0 5.0 5.6 6.8 6.1 5.7 6.0 5.5 7.3 6.0 6.7 7.2 6.6 8.1 7.3 7.7 7.2 7.0 5.9 6.9 7.2 6.6 7.3 6.6 6.6 5.7 7.6 6.7 6.9 8.0 7.1 7.6 6.6 7.4 7.4 7.6 Employed / population ratio (Absorption) 67.8 66.8 67.0 67.2 67.7 66.9 64.9 65.9 65.4 64.3 63.8 63.8 63.9 65.0 64.6 64.0 64.3 63.9 63.7 63.4 62.8 64.0 64.4 63.1 63.6 62.2 62.3 62.4 63.6 62.6 64.5 64.1 63.6 63.1 62.6 62.9 65.0 63.5 62.8 63.6 63.2 62.0 63.2 62.2 62.6 62.5 63.1 63.1 Labour force participation rate 71.6 69.9 69.9 69.2 70.9 70.1 68.2 69.3 69.8 68.8 67.2 67.6 68.0 68.4 68.5 68.7 68.4 67.7 67.7 67.1 67.7 68.1 69.1 68.0 68.1 67.6 67.2 67.7 68.5 67.3 68.5 68.9 68.5 67.6 67.5 67.4 69.7 67.3 67.9 68.1 67.9 67.5 68.0 67.3 67.1 67.5 68.2 68.3 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals. Table2.2 Table 2.2: Labour force characteristics by age group Jan-Mar 2008 Apr-Jun 2008 Jul-Sep 2008 Oct-Dec 2008 Jan-Mar 2009 Apr-Jun 2009 Jul-Sep 2009 Oct-Dec 2009 Jan-Mar 2010 Apr-Jun 2010 Jul-Sep 2010 Oct-Dec 2010 Jan-Mar 2011 Apr-Jun 2011 Jul-Sep 2011 Oct-Dec 2011 Jan-Mar 2012 Apr-Jun 2012 Jul-Sep 2012 Oct-Dec 2012 Jan-Mar 2013 Apr-Jun 2013 Jul-Sep 2013 Oct-Dec 2013 Jan-Mar 2014 Apr-Jun 2014 Jul-Sep 2014 Oct-Dec 2014 Jan-Mar 2015 Apr-Jun 2015 Jul-Sep 2015 Oct-Dec 2015 Jan-Mar 2016 Apr-Jun 2016 Jul-Sep 2016 Oct-Dec 2016 Jan-Mar 2017 Apr-Jun 2017 Jul-Sep 2017 Oct-Dec 2017 Jan-Mar 2018 Apr-Jun 2018 Jul-Sep 2018 Oct-Dec 2018 Jan-Mar 2019 Apr-Jun 2019 Jul-Sep 2019 Oct-Dec 2019 Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand 15-64 years Population 15-64 yrs 31,544 31,690 31,839 31,987 32,135 32,285 32,435 32,584 32,732 32,882 33,033 33,184 33,335 33,487 33,640 33,792 33,945 34,098 34,253 34,405 34,558 34,712 34,868 35,022 35,177 35,332 35,489 35,643 35,799 35,955 36,114 36,272 36,431 36,591 36,750 36,905 37,061 37,217 37,373 37,525 37,678 37,832 37,985 38,134 38,283 38,433 38,582 38,727 Labour Force 18,808 18,851 18,848 18,817 18,982 18,698 18,306 18,402 18,410 18,431 18,303 18,266 18,501 18,703 18,818 18,804 19,053 19,051 19,463 19,233 19,420 19,663 19,916 20,007 20,122 20,248 20,268 20,228 20,994 20,887 21,246 21,211 21,398 21,179 21,706 21,849 22,426 22,277 22,402 22,051 22,358 22,370 22,589 22,668 22,492 22,968 23,109 23,146 Employed 14,438 14,584 14,549 14,769 14,616 14,357 13,830 13,973 13,797 13,809 13,648 13,898 13,904 13,922 14,118 14,336 14,284 14,330 14,562 14,524 14,558 14,692 15,036 15,177 15,055 15,094 15,117 15,320 15,459 15,657 15,828 16,018 15,675 15,545 15,833 16,069 16,212 16,100 16,192 16,171 16,378 16,288 16,380 16,529 16,291 16,313 16,375 16,420 Unemployed 4,371 4,267 4,299 4,048 4,366 4,341 4,476 4,429 4,612 4,622 4,655 4,368 4,597 4,782 4,699 4,467 4,769 4,721 4,901 4,709 4,862 4,972 4,880 4,830 5,067 5,154 5,151 4,909 5,535 5,230 5,418 5,193 5,723 5,634 5,873 5,781 6,214 6,177 6,210 5,880 5,980 6,083 6,209 6,139 6,201 6,655 6,734 6,726 Not economically active 12,736 12,839 12,991 13,170 13,153 13,587 14,129 14,182 14,323 14,451 14,731 14,918 14,834 14,783 14,822 14,988 14,892 15,047 14,790 15,172 15,138 15,049 14,952 15,015 15,055 15,084 15,221 15,415 14,805 15,068 14,867 15,061 15,033 15,412 15,044 15,055 14,634 14,941 14,971 15,474 15,320 15,462 15,395 15,466 15,791 15,465 15,474 15,581 Rates (%) Unemployment rate 23.2 22.6 22.8 21.5 23.0 23.2 24.5 24.1 25.1 25.1 25.4 23.9 24.8 25.6 25.0 23.8 25.0 24.8 25.2 24.5 25.0 25.3 24.5 24.1 25.2 25.5 25.4 24.3 26.4 25.0 25.5 24.5 26.7 26.6 27.1 26.5 27.7 27.7 27.7 26.7 26.7 27.2 27.5 27.1 27.6 29.0 29.1 29.1 Employed / population ratio (Absorption) 45.8 46.0 45.7 46.2 45.5 44.5 42.6 42.9 42.2 42.0 41.3 41.9 41.7 41.6 42.0 42.4 42.1 42.0 42.5 42.2 42.1 42.3 43.1 43.3 42.8 42.7 42.6 43.0 43.2 43.5 43.8 44.2 43.0 42.5 43.1 43.5 43.7 43.3 43.3 43.1 43.5 43.1 43.1 43.3 42.6 42.4 42.4 42.4 Labour force participation rate 59.6 59.5 59.2 58.8 59.1 57.9 56.4 56.5 56.2 56.1 55.4 55.0 55.5 55.9 55.9 55.6 56.1 55.9 56.8 55.9 56.2 56.6 57.1 57.1 57.2 57.3 57.1 56.8 58.6 58.1 58.8 58.5 58.7 57.9 59.1 59.2 60.5 59.9 59.9 58.8 59.3 59.1 59.5 59.4 58.8 59.8 59.9 59.8 15-24 years Population 15-24 yrs 9,693 9,719 9,746 9,772 9,799 9,825 9,851 9,876 9,901 9,926 9,951 9,976 10,001 10,026 10,051 10,074 10,096 10,119 10,140 10,158 10,176 10,194 10,211 10,225 10,239 10,253 10,264 10,272 10,281 10,289 10,295 10,300 10,305 10,309 10,312 10,313 10,314 10,315 10,315 10,314 10,312 10,311 10,308 10,303 10,297 10,292 10,286 10,280 Labour Force 3,060 3,024 2,974 2,901 2,929 2,833 2,626 2,660 2,633 2,689 2,605 2,462 2,545 2,584 2,577 2,525 2,664 2,470 2,627 2,524 2,618 2,643 2,651 2,604 2,617 2,661 2,573 2,523 2,853 2,696 2,762 2,654 2,761 2,657 2,763 2,715 2,874 2,778 2,766 2,670 2,638 2,590 2,664 2,591 2,553 2,678 2,638 2,692 Employed 1,644 1,673 1,590 1,598 1,529 1,463 1,346 1,369 1,303 1,294 1,242 1,230 1,267 1,283 1,262 1,275 1,279 1,190 1,255 1,244 1,224 1,236 1,318 1,330 1,226 1,284 1,252 1,291 1,418 1,350 1,383 1,317 1,256 1,229 1,265 1,333 1,315 1,226 1,322 1,305 1,257 1,200 1,257 1,173 1,143 1,168 1,102 1,127 Unemployed 1,416 1,352 1,384 1,303 1,400 1,370 1,280 1,290 1,330 1,395 1,363 1,232 1,278 1,301 1,315 1,250 1,384 1,280 1,372 1,280 1,395 1,407 1,333 1,274 1,391 1,378 1,320 1,231 1,435 1,346 1,379 1,337 1,506 1,428 1,497 1,382 1,559 1,552 1,444 1,365 1,381 1,390 1,408 1,417 1,409 1,511 1,536 1,565 Not economically active 6,633 6,695 6,772 6,872 6,870 6,992 7,225 7,216 7,267 7,236 7,346 7,514 7,456 7,443 7,474 7,548 7,433 7,649 7,513 7,634 7,558 7,551 7,560 7,620 7,622 7,592 7,692 7,750 7,428 7,593 7,533 7,646 7,543 7,653 7,549 7,598 7,440 7,537 7,550 7,644 7,674 7,721 7,644 7,712 7,745 7,614 7,648 7,588 Rates (%) Unemployment rate 46.3 44.7 46.5 44.9 47.8 48.4 48.7 48.5 50.5 51.9 52.3 50.0 50.2 50.4 51.0 49.5 52.0 51.8 52.2 50.7 53.3 53.2 50.3 48.9 53.2 51.8 51.3 48.8 50.3 49.9 49.9 50.4 54.5 53.7 54.2 50.9 54.3 55.9 52.2 51.1 52.4 53.7 52.8 54.7 55.2 56.4 58.2 58.1 Employed / population ratio (Absorption) 17.0 17.2 16.3 16.3 15.6 14.9 13.7 13.9 13.2 13.0 12.5 12.3 12.7 12.8 12.6 12.7 12.7 11.8 12.4 12.2 12.0 12.1 12.9 13.0 12.0 12.5 12.2 12.6 13.8 13.1 13.4 12.8 12.2 11.9 12.3 12.9 12.7 11.9 12.8 12.7 12.2 11.6 12.2 11.4 11.1 11.3 10.7 11.0 Labour force participation rate 31.6 31.1 30.5 29.7 29.9 28.8 26.7 26.9 26.6 27.1 26.2 24.7 25.4 25.8 25.6 25.1 26.4 24.4 25.9 24.8 25.7 25.9 26.0 25.5 25.6 26.0 25.1 24.6 27.7 26.2 26.8 25.8 26.8 25.8 26.8 26.3 27.9 26.9 26.8 25.9 25.6 25.1 25.8 25.1 24.8 26.0 25.6 26.2 25-34 years Population 25-34 yrs 8,516 8,537 8,559 8,583 8,606 8,629 8,654 8,681 8,707 8,733 8,762 8,792 8,823 8,853 8,886 8,922 8,957 8,992 9,029 9,068 9,107 9,146 9,186 9,226 9,266 9,306 9,346 9,386 9,426 9,466 9,506 9,546 9,586 9,627 9,666 9,704 9,742 9,780 9,817 9,854 9,890 9,927 9,963 9,999 10,035 10,070 10,105 10,139 Labour Force 6,537 6,569 6,553 6,564 6,560 6,446 6,352 6,366 6,371 6,304 6,312 6,300 6,378 6,418 6,442 6,438 6,483 6,566 6,659 6,562 6,553 6,663 6,684 6,795 6,773 6,743 6,879 6,824 7,032 7,045 7,127 7,130 7,182 7,033 7,215 7,273 7,362 7,307 7,325 7,187 7,303 7,334 7,404 7,415 7,375 7,452 7,519 7,512 Employed 4,817 4,844 4,858 4,927 4,767 4,691 4,514 4,529 4,486 4,474 4,437 4,491 4,437 4,416 4,517 4,629 4,594 4,630 4,671 4,608 4,626 4,673 4,752 4,872 4,775 4,729 4,725 4,803 4,822 4,936 4,969 5,054 4,939 4,824 4,896 4,954 4,966 4,907 4,871 4,790 4,890 4,869 4,890 4,965 4,851 4,797 4,803 4,839 Unemployed 1,720 1,725 1,695 1,636 1,794 1,755 1,838 1,837 1,885 1,830 1,875 1,810 1,942 2,002 1,925 1,808 1,888 1,936 1,988 1,954 1,927 1,990 1,932 1,922 1,998 2,014 2,154 2,020 2,211 2,109 2,158 2,075 2,242 2,208 2,319 2,319 2,395 2,399 2,454 2,397 2,413 2,466 2,514 2,450 2,524 2,655 2,716 2,673 Not economically active 1,979 1,968 2,006 2,019 2,046 2,183 2,302 2,315 2,336 2,429 2,450 2,492 2,444 2,435 2,445 2,484 2,474 2,426 2,370 2,506 2,554 2,482 2,502 2,431 2,493 2,563 2,467 2,562 2,393 2,421 2,379 2,416 2,405 2,594 2,451 2,431 2,380 2,473 2,493 2,667 2,587 2,593 2,559 2,584 2,659 2,619 2,586 2,627 Rates (%) Unemployment rate 26.3 26.3 25.9 24.9 27.3 27.2 28.9 28.9 29.6 29.0 29.7 28.7 30.4 31.2 29.9 28.1 29.1 29.5 29.9 29.8 29.4 29.9 28.9 28.3 29.5 29.9 31.3 29.6 31.4 29.9 30.3 29.1 31.2 31.4 32.1 31.9 32.5 32.8 33.5 33.4 33.0 33.6 34.0 33.0 34.2 35.6 36.1 35.6 Employed / population ratio (Absorption) 56.6 56.7 56.8 57.4 55.4 54.4 52.2 52.2 51.5 51.2 50.6 51.1 50.3 49.9 50.8 51.9 51.3 51.5 51.7 50.8 50.8 51.1 51.7 52.8 51.5 50.8 50.6 51.2 51.2 52.1 52.3 52.9 51.5 50.1 50.7 51.1 51.0 50.2 49.6 48.6 49.4 49.0 49.1 49.7 48.3 47.6 47.5 47.7 Labour force participation rate 76.8 76.9 76.6 76.5 76.2 74.7 73.4 73.3 73.2 72.2 72.0 71.7 72.3 72.5 72.5 72.2 72.4 73.0 73.8 72.4 72.0 72.9 72.8 73.7 73.1 72.5 73.6 72.7 74.6 74.4 75.0 74.7 74.9 73.1 74.6 74.9 75.6 74.7 74.6 72.9 73.8 73.9 74.3 74.2 73.5 74.0 74.4 74.1 35-44 years Population 35-44 yrs 6,171 6,219 6,269 6,319 6,369 6,420 6,471 6,520 6,570 6,620 6,670 6,719 6,769 6,818 6,868 6,917 6,966 7,016 7,065 7,114 7,163 7,212 7,261 7,309 7,357 7,406 7,454 7,501 7,548 7,596 7,642 7,687 7,732 7,778 7,821 7,861 7,902 7,943 7,983 8,021 8,060 8,098 8,137 8,176 8,215 8,254 8,294 8,335 Labour Force 4,866 4,880 4,932 4,930 4,993 4,992 4,991 5,005 5,050 5,009 5,010 5,072 5,148 5,188 5,221 5,250 5,288 5,400 5,491 5,471 5,530 5,584 5,686 5,688 5,747 5,791 5,766 5,858 5,953 6,018 6,099 6,095 6,106 6,123 6,271 6,352 6,428 6,490 6,506 6,423 6,518 6,537 6,535 6,596 6,505 6,632 6,711 6,681 Employed 4,071 4,106 4,098 4,204 4,221 4,199 4,107 4,140 4,136 4,133 4,099 4,209 4,262 4,209 4,244 4,328 4,309 4,414 4,478 4,511 4,534 4,528 4,620 4,625 4,664 4,657 4,676 4,742 4,742 4,874 4,897 4,935 4,868 4,815 4,923 4,992 5,016 5,040 5,027 5,081 5,154 5,147 5,100 5,147 5,090 5,088 5,174 5,143 Unemployed 795 773 834 726 772 793 884 865 914 876 911 863 886 979 977 922 979 985 1,013 960 995 1,056 1,066 1,063 1,083 1,134 1,090 1,116 1,211 1,144 1,202 1,159 1,238 1,308 1,348 1,360 1,412 1,450 1,478 1,343 1,363 1,390 1,435 1,449 1,414 1,545 1,538 1,538 Not economically active 1,306 1,340 1,337 1,388 1,376 1,428 1,479 1,516 1,520 1,611 1,660 1,647 1,621 1,630 1,646 1,667 1,678 1,616 1,574 1,643 1,633 1,629 1,575 1,621 1,610 1,615 1,688 1,643 1,595 1,578 1,543 1,592 1,627 1,654 1,550 1,510 1,474 1,453 1,477 1,598 1,542 1,562 1,602 1,580 1,710 1,622 1,583 1,654 Rates (%) Unemployment rate 16.3 15.8 16.9 14.7 15.5 15.9 17.7 17.3 18.1 17.5 18.2 17.0 17.2 18.9 18.7 17.6 18.5 18.2 18.5 17.5 18.0 18.9 18.7 18.7 18.9 19.6 18.9 19.0 20.3 19.0 19.7 19.0 20.3 21.4 21.5 21.4 22.0 22.3 22.7 20.9 20.9 21.3 22.0 22.0 21.7 23.3 22.9 23.0 Employed / population ratio (Absorption) 66.0 66.0 65.4 66.5 66.3 65.4 63.5 63.5 62.9 62.4 61.5 62.6 63.0 61.7 61.8 62.6 61.9 62.9 63.4 63.4 63.3 62.8 63.6 63.3 63.4 62.9 62.7 63.2 62.8 64.2 64.1 64.2 63.0 61.9 62.9 63.5 63.5 63.5 63.0 63.3 64.0 63.6 62.7 63.0 62.0 61.6 62.4 61.7 Labour force participation rate 78.8 78.5 78.7 78.0 78.4 77.8 77.1 76.8 76.9 75.7 75.1 75.5 76.1 76.1 76.0 75.9 75.9 77.0 77.7 76.9 77.2 77.4 78.3 77.8 78.1 78.2 77.3 78.1 78.9 79.2 79.8 79.3 79.0 78.7 80.2 80.8 81.3 81.7 81.5 80.1 80.9 80.7 80.3 80.7 79.2 80.4 80.9 80.2 45-54 years Population 15-64 yrs 4,414 4,443 4,472 4,500 4,528 4,555 4,582 4,608 4,633 4,658 4,682 4,705 4,727 4,749 4,771 4,791 4,811 4,831 4,851 4,871 4,892 4,912 4,935 4,960 4,985 5,009 5,037 5,069 5,100 5,132 5,168 5,207 5,247 5,287 5,330 5,375 5,421 5,467 5,515 5,564 5,614 5,664 5,716 5,767 5,819 5,871 5,923 5,974 Labour Force 3,114 3,133 3,146 3,188 3,226 3,193 3,138 3,168 3,164 3,204 3,164 3,204 3,222 3,251 3,311 3,286 3,328 3,337 3,354 3,335 3,388 3,405 3,502 3,474 3,506 3,574 3,537 3,564 3,646 3,626 3,708 3,784 3,811 3,820 3,891 3,902 4,063 4,043 4,090 4,080 4,156 4,181 4,252 4,318 4,346 4,419 4,470 4,482 Employed 2,768 2,810 2,842 2,869 2,902 2,838 2,746 2,811 2,770 2,786 2,753 2,823 2,806 2,826 2,909 2,882 2,901 2,902 2,916 2,924 2,946 2,989 3,051 3,024 3,027 3,061 3,070 3,126 3,098 3,115 3,186 3,287 3,220 3,279 3,323 3,313 3,393 3,420 3,426 3,445 3,488 3,511 3,570 3,671 3,666 3,661 3,702 3,695 Unemployed 345 323 305 318 323 356 392 357 394 418 411 381 416 425 402 403 427 435 437 411 442 416 451 449 479 513 467 438 548 512 522 497 591 541 568 589 670 623 663 636 668 669 683 648 679 758 768 786 Not economically active 1,300 1,310 1,326 1,312 1,302 1,362 1,445 1,439 1,469 1,455 1,518 1,501 1,505 1,498 1,460 1,505 1,482 1,494 1,497 1,537 1,504 1,507 1,433 1,486 1,478 1,435 1,501 1,505 1,455 1,506 1,460 1,423 1,436 1,467 1,439 1,473 1,358 1,424 1,425 1,484 1,458 1,483 1,463 1,449 1,473 1,451 1,453 1,493 Rates (%) Unemployment rate 11.1 10.3 9.7 10.0 10.0 11.1 12.5 11.3 12.5 13.0 13.0 11.9 12.9 13.1 12.1 12.3 12.8 13.0 13.0 12.3 13.0 12.2 12.9 12.9 13.7 14.4 13.2 12.3 15.0 14.1 14.1 13.1 15.5 14.2 14.6 15.1 16.5 15.4 16.2 15.6 16.1 16.0 16.1 15.0 15.6 17.2 17.2 17.5 Employed / population ratio (Absorption) 62.7 63.3 63.5 63.8 64.1 62.3 59.9 61.0 59.8 59.8 58.8 60.0 59.4 59.5 61.0 60.2 60.3 60.1 60.1 60.0 60.2 60.8 61.8 61.0 60.7 61.1 60.9 61.7 60.7 60.7 61.7 63.1 61.4 62.0 62.3 61.6 62.6 62.6 62.1 61.9 62.1 62.0 62.5 63.6 63.0 62.4 62.5 61.9 Labour force participation rate 70.5 70.5 70.4 70.8 71.2 70.1 68.5 68.8 68.3 68.8 67.6 68.1 68.2 68.5 69.4 68.6 69.2 69.1 69.1 68.5 69.3 69.3 71.0 70.0 70.3 71.4 70.2 70.3 71.5 70.7 71.7 72.7 72.6 72.3 73.0 72.6 74.9 74.0 74.2 73.3 74.0 73.8 74.4 74.9 74.7 75.3 75.5 75.0 55-64 years Population 55-64 yrs 2,751 2,771 2,792 2,813 2,834 2,855 2,877 2,900 2,922 2,944 2,968 2,991 3,015 3,039 3,064 3,090 3,115 3,141 3,167 3,194 3,221 3,248 3,275 3,303 3,331 3,358 3,387 3,415 3,444 3,472 3,502 3,531 3,561 3,590 3,621 3,651 3,682 3,712 3,743 3,772 3,802 3,832 3,861 3,889 3,917 3,945 3,973 3,999 Labour Force 1,233 1,245 1,242 1,234 1,274 1,234 1,198 1,203 1,191 1,225 1,211 1,227 1,207 1,262 1,267 1,305 1,290 1,279 1,331 1,341 1,331 1,368 1,393 1,446 1,478 1,479 1,514 1,460 1,510 1,502 1,551 1,548 1,538 1,546 1,567 1,607 1,701 1,659 1,717 1,691 1,742 1,729 1,734 1,749 1,714 1,786 1,770 1,779 Employed 1,138 1,151 1,161 1,170 1,196 1,166 1,116 1,124 1,102 1,121 1,117 1,145 1,132 1,187 1,187 1,222 1,199 1,194 1,241 1,237 1,228 1,265 1,295 1,324 1,363 1,363 1,394 1,357 1,381 1,382 1,393 1,424 1,391 1,398 1,426 1,477 1,522 1,506 1,545 1,551 1,588 1,561 1,564 1,573 1,540 1,599 1,595 1,616 Unemployed 94 94 81 64 77 67 83 79 89 104 94 82 75 75 80 83 90 84 90 104 104 103 98 122 115 115 120 104 130 120 157 125 147 148 141 130 178 153 171 140 154 168 170 176 174 187 175 164 Not economically active 1,518 1,526 1,550 1,579 1,560 1,622 1,679 1,696 1,731 1,719 1,756 1,764 1,808 1,777 1,797 1,785 1,825 1,862 1,836 1,853 1,889 1,880 1,882 1,857 1,852 1,880 1,873 1,955 1,933 1,971 1,951 1,983 2,023 2,044 2,054 2,044 1,981 2,053 2,026 2,081 2,059 2,102 2,127 2,140 2,203 2,159 2,203 2,219 Rates (%) Unemployment rate 7.6 7.6 6.5 5.2 6.1 5.5 6.9 6.6 7.4 8.5 7.7 6.7 6.2 5.9 6.3 6.4 7.0 6.6 6.8 7.8 7.8 7.5 7.0 8.4 7.8 7.8 7.9 7.1 8.6 8.0 10.1 8.0 9.5 9.6 9.0 8.1 10.5 9.2 10.0 8.3 8.9 9.7 9.8 10.0 10.1 10.5 9.9 9.2 Employed / population ratio (Absorption) 41.4 41.5 41.6 41.6 42.2 40.9 38.8 38.8 37.7 38.1 37.7 38.3 37.6 39.1 38.7 39.6 38.5 38.0 39.2 38.7 38.1 38.9 39.5 40.1 40.9 40.6 41.2 39.7 40.1 39.8 39.8 40.3 39.1 38.9 39.4 40.5 41.3 40.6 41.3 41.1 41.8 40.7 40.5 40.4 39.3 40.5 40.1 40.4 Labour force participation rate 44.8 44.9 44.5 43.9 44.9 43.2 41.6 41.5 40.8 41.6 40.8 41.0 40.0 41.5 41.4 42.2 41.4 40.7 42.0 42.0 41.3 42.1 42.5 43.8 44.4 44.0 44.7 42.8 43.9 43.2 44.3 43.8 43.2 43.1 43.3 44.0 46.2 44.7 45.9 44.8 45.8 45.1 44.9 45.0 43.7 45.3 44.5 44.5 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals. Table 2.3 Table 2.3: Labour force characteristics by province and metro Jan-Mar 2008 Apr-Jun 2008 Jul-Sep 2008 Oct-Dec 2008 Jan-Mar 2009 Apr-Jun 2009 Jul-Sep 2009 Oct-Dec 2009 Jan-Mar 2010 Apr-Jun 2010 Jul-Sep 2010 Oct-Dec 2010 Jan-Mar 2011 Apr-Jun 2011 Jul-Sep 2011 Oct-Dec 2011 Jan-Mar 2012 Apr-Jun 2012 Jul-Sep 2012 Oct-Dec 2012 Jan-Mar 2013 Apr-Jun 2013 Jul-Sep 2013 Oct-Dec 2013 Jan-Mar 2014 Apr-Jun 2014 Jul-Sep 2014 Oct-Dec 2014 Jan-Mar 2015 Apr-Jun 2015 Jul-Sep 2015 Oct-Dec 2015 Jan-Mar 2016 Apr-Jun 2016 Jul-Sep 2016 Oct-Dec 2016 Jan-Mar 2017 Apr-Jun 2017 Jul-Sep 2017 Oct-Dec 2017 Jan-Mar 2018 Apr-Jun 2018 Jul-Sep 2018 Oct-Dec 2018 Jan-Mar 2019 Apr-Jun 2019 Jul-Sep 2019 Oct-Dec 2019 Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand South Africa Population 15-64 yrs 31,544 31,690 31,839 31,987 32,135 32,285 32,435 32,584 32,732 32,882 33,033 33,184 33,335 33,487 33,640 33,792 33,945 34,098 34,253 34,405 34,558 34,712 34,868 35,022 35,177 35,332 35,489 35,643 35,799 35,955 36,114 36,272 36,431 36,591 36,750 36,905 37,061 37,217 37,373 37,525 37,678 37,832 37,985 38,134 38,283 38,433 38,582 38,727 Labour Force 18,808 18,851 18,848 18,817 18,982 18,698 18,306 18,402 18,410 18,431 18,303 18,266 18,501 18,703 18,818 18,804 19,053 19,051 19,463 19,233 19,420 19,663 19,916 20,007 20,122 20,248 20,268 20,228 20,994 20,887 21,246 21,211 21,398 21,179 21,706 21,849 22,426 22,277 22,402 22,051 22,358 22,370 22,589 22,668 22,492 22,968 23,109 23,146 Employed 14,438 14,584 14,549 14,769 14,616 14,357 13,830 13,973 13,797 13,809 13,648 13,898 13,904 13,922 14,118 14,336 14,284 14,330 14,562 14,524 14,558 14,692 15,036 15,177 15,055 15,094 15,117 15,320 15,459 15,657 15,828 16,018 15,675 15,545 15,833 16,069 16,212 16,100 16,192 16,171 16,378 16,288 16,380 16,529 16,291 16,313 16,375 16,420 Unemployed 4,371 4,267 4,299 4,048 4,366 4,341 4,476 4,429 4,612 4,622 4,655 4,368 4,597 4,782 4,699 4,467 4,769 4,721 4,901 4,709 4,862 4,972 4,880 4,830 5,067 5,154 5,151 4,909 5,535 5,230 5,418 5,193 5,723 5,634 5,873 5,781 6,214 6,177 6,210 5,880 5,980 6,083 6,209 6,139 6,201 6,655 6,734 6,726 Not economically active 12,736 12,839 12,991 13,170 13,153 13,587 14,129 14,182 14,323 14,451 14,731 14,918 14,834 14,783 14,822 14,988 14,892 15,047 14,790 15,172 15,138 15,049 14,952 15,015 15,055 15,084 15,221 15,415 14,805 15,068 14,867 15,061 15,033 15,412 15,044 15,055 14,634 14,941 14,971 15,474 15,320 15,462 15,395 15,466 15,791 15,465 15,474 15,581 Discouraged work-seekers 1,202 1,101 1,093 1,189 1,233 1,536 1,646 1,726 1,890 1,960 2,079 2,176 2,243 2,214 2,213 2,339 2,380 2,360 2,214 2,301 2,401 2,425 2,297 2,200 2,355 2,419 2,514 2,403 2,397 2,434 2,226 2,279 2,434 2,526 2,291 2,292 2,277 2,361 2,436 2,538 2,787 2,864 2,733 2,841 2,997 2,749 2,793 2,855 Other 11,534 11,738 11,898 11,982 11,921 12,051 12,483 12,456 12,432 12,492 12,652 12,742 12,591 12,569 12,610 12,650 12,512 12,687 12,575 12,870 12,737 12,624 12,655 12,815 12,700 12,665 12,707 13,012 12,408 12,633 12,641 12,782 12,599 12,886 12,753 12,763 12,357 12,580 12,536 12,936 12,533 12,598 12,662 12,625 12,793 12,716 12,681 12,726 Rates (%) Unemployment rate 23.2 22.6 22.8 21.5 23.0 23.2 24.5 24.1 25.1 25.1 25.4 23.9 24.8 25.6 25.0 23.8 25.0 24.8 25.2 24.5 25.0 25.3 24.5 24.1 25.2 25.5 25.4 24.3 26.4 25.0 25.5 24.5 26.7 26.6 27.1 26.5 27.7 27.7 27.7 26.7 26.7 27.2 27.5 27.1 27.6 29.0 29.1 29.1 Employed / population ratio (Absorption) 45.8 46.0 45.7 46.2 45.5 44.5 42.6 42.9 42.2 42.0 41.3 41.9 41.7 41.6 42.0 42.4 42.1 42.0 42.5 42.2 42.1 42.3 43.1 43.3 42.8 42.7 42.6 43.0 43.2 43.5 43.8 44.2 43.0 42.5 43.1 43.5 43.7 43.3 43.3 43.1 43.5 43.1 43.1 43.3 42.6 42.4 42.4 42.4 Labour force participation rate 59.6 59.5 59.2 58.8 59.1 57.9 56.4 56.5 56.2 56.1 55.4 55.0 55.5 55.9 55.9 55.6 56.1 55.9 56.8 55.9 56.2 56.6 57.1 57.1 57.2 57.3 57.1 56.8 58.6 58.1 58.8 58.5 58.7 57.9 59.1 59.2 60.5 59.9 59.9 58.8 59.3 59.1 59.5 59.4 58.8 59.8 59.9 59.8 Western Cape Population 15-64 yrs 3,641 3,661 3,681 3,701 3,721 3,741 3,761 3,782 3,802 3,822 3,844 3,865 3,886 3,907 3,929 3,951 3,973 3,995 4,017 4,040 4,062 4,085 4,108 4,130 4,153 4,176 4,200 4,223 4,246 4,269 4,293 4,317 4,341 4,365 4,389 4,412 4,436 4,460 4,483 4,506 4,528 4,551 4,574 4,597 4,619 4,642 4,664 4,686 Labour Force 2,463 2,485 2,470 2,479 2,578 2,558 2,584 2,589 2,587 2,588 2,568 2,557 2,590 2,622 2,671 2,661 2,719 2,692 2,763 2,744 2,718 2,748 2,778 2,829 2,829 2,867 2,857 2,813 2,861 2,884 2,920 2,951 2,978 2,912 2,958 2,999 3,066 3,031 3,071 3,094 3,150 3,127 3,133 3,121 3,130 3,139 3,177 3,182 Employed 2,027 2,028 2,002 2,072 2,112 2,043 2,012 2,044 2,069 2,035 1,990 2,004 2,029 2,063 2,056 2,096 2,107 2,076 2,077 2,103 2,091 2,099 2,138 2,235 2,237 2,192 2,182 2,170 2,261 2,257 2,317 2,380 2,356 2,266 2,315 2,386 2,406 2,403 2,399 2,492 2,530 2,480 2,494 2,520 2,520 2,497 2,494 2,518 Unemployed 436 457 468 408 465 515 572 545 518 553 578 553 561 559 615 565 612 616 686 641 627 648 641 593 593 675 675 643 600 627 603 571 622 646 643 614 660 628 672 603 620 648 638 601 610 642 683 665 Not economically active 1,179 1,176 1,210 1,221 1,143 1,182 1,177 1,192 1,215 1,234 1,276 1,308 1,296 1,286 1,258 1,290 1,254 1,303 1,254 1,296 1,345 1,337 1,329 1,302 1,324 1,309 1,343 1,410 1,385 1,385 1,373 1,366 1,363 1,453 1,431 1,413 1,370 1,428 1,412 1,412 1,378 1,424 1,442 1,475 1,489 1,502 1,487 1,504 Discouraged work-seekers 51 39 30 42 23 35 39 45 54 62 47 27 22 39 34 52 31 34 35 35 40 62 40 18 31 34 40 22 43 51 51 58 41 51 50 45 47 79 59 56 62 44 58 72 72 64 45 66 Other 1,128 1,137 1,180 1,179 1,120 1,148 1,138 1,148 1,161 1,172 1,229 1,281 1,274 1,247 1,224 1,238 1,222 1,269 1,220 1,260 1,305 1,275 1,289 1,284 1,293 1,275 1,303 1,388 1,342 1,334 1,321 1,308 1,322 1,402 1,380 1,368 1,322 1,349 1,353 1,356 1,316 1,380 1,383 1,403 1,417 1,438 1,442 1,438 Rates (%) Unemployment rate 17.7 18.4 18.9 16.4 18.1 20.1 22.1 21.1 20.0 21.4 22.5 21.6 21.7 21.3 23.0 21.2 22.5 22.9 24.8 23.4 23.1 23.6 23.1 21.0 20.9 23.5 23.6 22.9 21.0 21.7 20.6 19.4 20.9 22.2 21.7 20.5 21.5 20.7 21.9 19.5 19.7 20.7 20.4 19.3 19.5 20.4 21.5 20.9 Employed / population ratio (Absorption) 55.7 55.4 54.4 56.0 56.8 54.6 53.5 54.0 54.4 53.2 51.8 51.8 52.2 52.8 52.3 53.0 53.0 52.0 51.7 52.0 51.5 51.4 52.0 54.1 53.8 52.5 51.9 51.4 53.2 52.9 54.0 55.1 54.3 51.9 52.8 54.1 54.2 53.9 53.5 55.3 55.9 54.5 54.5 54.8 54.5 53.8 53.5 53.7 Labour force participation rate 67.6 67.9 67.1 67.0 69.3 68.4 68.7 68.5 68.1 67.7 66.8 66.2 66.7 67.1 68.0 67.3 68.4 67.4 68.8 67.9 66.9 67.3 67.6 68.5 68.1 68.7 68.0 66.6 67.4 67.6 68.0 68.4 68.6 66.7 67.4 68.0 69.1 68.0 68.5 68.7 69.6 68.7 68.5 67.9 67.8 67.6 68.1 67.9 Western Cape - Non metro Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,530 1,540 1,550 1,559 1,569 1,579 1,589 1,598 1,607 1,617 1,626 1,635 1,644 1,653 1,662 1,671 1,679 1,688 1,697 1,705 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,002 1,044 1,038 1,050 1,056 1,007 1,050 1,050 1,103 1,052 1,059 1,087 1,101 1,089 1,098 1,096 1,120 1,109 1,117 1,112 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 838 833 846 869 839 798 847 903 895 872 855 920 940 875 888 924 936 909 886 916 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 164 211 192 181 217 208 203 147 208 180 205 166 161 214 210 172 184 200 231 196 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 528 496 512 510 513 572 539 548 504 565 567 549 543 564 564 575 559 579 580 593 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 36 39 35 49 36 43 37 35 36 62 40 39 48 30 41 56 49 50 24 45 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 492 457 477 461 477 530 502 513 469 503 527 510 495 534 523 519 510 529 556 547 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 16.4 20.2 18.5 17.2 20.5 20.7 19.3 14.0 18.8 17.1 19.3 15.3 14.6 19.6 19.1 15.7 16.4 18.0 20.7 17.6 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 54.8 54.1 54.6 55.7 53.5 50.6 53.3 56.5 55.7 53.9 52.5 56.3 57.2 53.0 53.4 55.3 55.7 53.8 52.2 53.7 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 65.5 67.8 67.0 67.3 67.3 63.8 66.1 65.7 68.6 65.1 65.1 66.4 67.0 65.9 66.1 65.6 66.7 65.7 65.8 65.2 Western Cape - City of cape Town Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2,716 2,730 2,744 2,758 2,772 2,786 2,800 2,814 2,828 2,843 2,857 2,871 2,884 2,898 2,912 2,926 2,940 2,954 2,967 2,981 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,859 1,841 1,882 1,901 1,921 1,905 1,908 1,949 1,963 1,979 2,012 2,008 2,049 2,038 2,035 2,026 2,010 2,030 2,061 2,070 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,423 1,425 1,471 1,511 1,516 1,468 1,469 1,482 1,511 1,531 1,545 1,571 1,589 1,604 1,606 1,597 1,584 1,589 1,608 1,601 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 436 416 411 390 405 438 440 467 452 448 467 436 459 434 429 429 426 442 453 469 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 857 889 861 856 850 880 892 865 865 864 845 863 836 860 878 900 930 923 907 911 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 7 12 17 9 5 8 13 11 12 17 19 17 14 14 17 17 24 14 21 21 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 850 877 844 847 846 872 879 855 853 846 826 846 821 846 860 884 906 909 886 890 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 23.5 22.6 21.9 20.5 21.1 23.0 23.0 23.9 23.0 22.7 23.2 21.7 22.4 21.3 21.1 21.2 21.2 21.8 22.0 22.6 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 52.4 52.2 53.6 54.8 54.7 52.7 52.4 52.7 53.4 53.9 54.1 54.7 55.1 55.4 55.1 54.6 53.9 53.8 54.2 53.7 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 68.4 67.4 68.6 68.9 69.3 68.4 68.2 69.2 69.4 69.6 70.4 69.9 71.0 70.3 69.9 69.2 68.4 68.7 69.4 69.4 Eastern Cape Population 15-64 yrs 3,798 3,810 3,823 3,836 3,849 3,862 3,875 3,888 3,900 3,912 3,924 3,935 3,947 3,958 3,969 3,980 3,991 4,002 4,012 4,021 4,030 4,040 4,048 4,056 4,065 4,073 4,081 4,089 4,098 4,106 4,115 4,124 4,133 4,142 4,153 4,166 4,178 4,190 4,203 4,215 4,228 4,240 4,253 4,265 4,277 4,289 4,301 4,313 Labour Force 1,807 1,793 1,790 1,797 1,813 1,855 1,699 1,719 1,751 1,711 1,747 1,708 1,753 1,781 1,724 1,761 1,724 1,763 1,811 1,738 1,812 1,838 1,858 1,844 1,888 1,948 1,953 1,884 1,929 1,927 1,937 1,945 1,914 1,892 2,008 2,021 2,126 2,159 2,202 2,144 2,168 2,132 2,158 2,153 2,089 2,148 2,207 2,288 Employed 1,301 1,349 1,304 1,344 1,301 1,341 1,244 1,261 1,231 1,243 1,280 1,294 1,285 1,276 1,263 1,287 1,242 1,261 1,289 1,225 1,271 1,283 1,293 1,332 1,332 1,355 1,377 1,336 1,358 1,366 1,372 1,411 1,366 1,350 1,443 1,447 1,442 1,416 1,421 1,391 1,397 1,402 1,390 1,375 1,308 1,388 1,402 1,384 Unemployed 506 445 486 453 512 514 455 458 520 468 467 414 468 506 461 473 482 502 522 512 541 555 565 513 556 592 576 549 572 561 565 534 548 542 565 574 684 743 781 754 771 730 769 778 781 760 805 904 Not economically active 1,990 2,017 2,033 2,039 2,036 2,007 2,176 2,169 2,149 2,201 2,178 2,227 2,194 2,177 2,245 2,220 2,268 2,239 2,201 2,284 2,218 2,201 2,190 2,212 2,177 2,125 2,129 2,205 2,168 2,179 2,177 2,179 2,219 2,251 2,145 2,144 2,052 2,032 2,001 2,071 2,059 2,108 2,095 2,112 2,188 2,141 2,094 2,025 Discouraged work-seekers 246 225 231 258 251 297 322 338 351 368 334 359 359 369 371 343 390 375 384 462 429 402 376 447 445 442 422 372 425 419 426 376 510 476 385 403 370 353 360 326 354 412 365 373 381 366 369 296 Other 1,745 1,792 1,802 1,782 1,785 1,710 1,855 1,830 1,798 1,833 1,844 1,869 1,835 1,808 1,874 1,877 1,878 1,865 1,818 1,821 1,790 1,799 1,814 1,765 1,732 1,684 1,706 1,833 1,743 1,761 1,751 1,803 1,709 1,775 1,760 1,741 1,682 1,679 1,641 1,745 1,705 1,696 1,730 1,739 1,807 1,775 1,725 1,729 Rates (%) Unemployment rate 28.0 24.8 27.2 25.2 28.3 27.7 26.8 26.6 29.7 27.4 26.7 24.2 26.7 28.4 26.8 26.9 28.0 28.5 28.8 29.5 29.8 30.2 30.4 27.8 29.4 30.4 29.5 29.1 29.6 29.1 29.2 27.4 28.6 28.6 28.2 28.4 32.2 34.4 35.5 35.1 35.6 34.2 35.6 36.1 37.4 35.4 36.5 39.5 Employed / population ratio (Absorption) 34.3 35.4 34.1 35.0 33.8 34.7 32.1 32.4 31.6 31.8 32.6 32.9 32.6 32.2 31.8 32.3 31.1 31.5 32.1 30.5 31.5 31.8 31.9 32.8 32.8 33.3 33.7 32.7 33.1 33.3 33.3 34.2 33.1 32.6 34.7 34.7 34.5 33.8 33.8 33.0 33.1 33.1 32.7 32.2 30.6 32.4 32.6 32.1 Labour force participation rate 47.6 47.1 46.8 46.8 47.1 48.0 43.8 44.2 44.9 43.7 44.5 43.4 44.4 45.0 43.4 44.2 43.2 44.0 45.1 43.2 45.0 45.5 45.9 45.5 46.4 47.8 47.8 46.1 47.1 46.9 47.1 47.2 46.3 45.7 48.4 48.5 50.9 51.5 52.4 50.9 51.3 50.3 50.7 50.5 48.8 50.1 51.3 53.1 Eastern Cape - Non Metro Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2,816 2,823 2,829 2,836 2,843 2,850 2,857 2,866 2,874 2,883 2,891 2,899 2,907 2,916 2,923 2,931 2,938 2,946 2,954 2,961 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,063 1,077 1,078 1,127 1,088 1,085 1,176 1,142 1,246 1,275 1,270 1,272 1,269 1,237 1,272 1,270 1,221 1,283 1,317 1,376 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 759 784 781 822 787 794 863 842 825 817 818 812 804 799 794 778 732 810 809 772 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 305 293 298 305 301 291 313 300 421 457 453 460 465 438 478 492 489 473 508 603 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,753 1,746 1,751 1,709 1,754 1,765 1,681 1,724 1,628 1,608 1,621 1,627 1,639 1,679 1,652 1,661 1,717 1,663 1,637 1,585 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 423 407 423 363 479 465 355 395 365 337 346 314 330 384 348 341 344 333 345 282 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,330 1,338 1,328 1,346 1,275 1,300 1,327 1,329 1,263 1,271 1,275 1,313 1,309 1,294 1,304 1,320 1,373 1,330 1,292 1,303 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 28.6 27.2 27.6 27.1 27.6 26.8 26.7 26.3 33.8 35.9 35.6 36.1 36.6 35.4 37.6 38.7 40.1 36.8 38.6 43.9 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 26.9 27.8 27.6 29.0 27.7 27.9 30.2 29.4 28.7 28.4 28.3 28.0 27.7 27.4 27.2 26.6 24.9 27.5 27.4 26.1 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 37.8 38.2 38.1 39.7 38.3 38.1 41.2 39.8 43.4 44.2 43.9 43.9 43.6 42.4 43.5 43.3 41.6 43.6 44.6 46.5 Eastern Cape - Buffalo City Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 499 499 500 501 501 502 503 504 506 507 508 510 511 512 514 515 517 518 520 521 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 337 327 340 322 305 327 333 358 365 355 372 348 349 342 339 315 323 334 346 357 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 245 233 250 245 232 230 239 239 257 252 245 247 242 244 247 233 239 240 239 246 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 92 94 90 77 74 98 93 119 107 103 127 101 106 98 91 82 84 94 107 111 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 162 172 160 179 196 175 171 146 141 151 136 162 162 171 175 201 193 185 174 164 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2 11 3 13 31 5 21 5 5 13 13 12 23 27 15 32 36 26 22 5 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 160 161 157 166 165 170 150 142 136 139 124 150 139 144 161 168 158 159 152 159 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 27.4 28.8 26.4 23.8 24.1 29.8 28.1 33.4 29.5 29.1 34.1 29.0 30.5 28.7 27.0 26.1 26.0 28.2 31.0 31.2 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 49.0 46.6 50.1 49.0 46.2 45.7 47.6 47.3 50.8 49.7 48.2 48.5 47.4 47.5 48.1 45.1 46.3 46.2 46.0 47.2 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 67.5 65.5 68.0 64.3 60.9 65.2 66.1 71.0 72.1 70.1 73.2 68.3 68.2 66.7 65.9 61.1 62.6 64.3 66.6 68.6 Eastern Cape - Nelson mandela Bay Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 783 784 785 787 789 791 793 795 798 801 803 806 809 812 815 818 822 825 828 831 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 529 522 519 497 520 480 500 522 515 529 560 524 551 553 548 568 544 531 544 555 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 354 349 341 344 347 326 341 367 360 346 358 331 351 360 348 364 336 338 355 366 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 175 173 178 152 173 154 159 154 155 182 202 193 200 194 200 204 208 194 190 189 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 253 261 267 291 269 311 293 274 283 272 243 282 258 259 267 251 278 293 283 276 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 6 10 3 1 3 2 1 1 1 2 1 7 3 8 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 253 261 267 291 269 305 283 271 282 269 242 281 257 258 266 251 277 286 281 267 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 33.1 33.2 34.3 31 33.3 32.0 31.8 29.6 30.2 34.5 36.0 36.9 36.3 35.0 36.4 35.9 38.2 36.4 34.9 34.1 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 45.3 44.5 43.4 43.8 44.0 41.2 43.0 46.1 45.1 43.3 44.6 41.1 43.4 44.3 42.7 44.5 40.9 41.0 42.8 44.1 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 67.6 66.7 66.1 63.1 65.9 60.7 63.0 65.6 64.5 66.0 69.7 65.0 68.1 68.1 67.2 69.4 66.2 64.4 65.8 66.8 Northern Cape Population 15-64 yrs 697 700 702 704 706 708 711 713 715 717 719 722 724 726 729 731 734 736 739 741 744 746 749 751 754 756 759 761 764 766 768 771 773 775 778 780 783 785 787 790 792 794 796 798 800 802 804 806 Labour Force 412 401 406 410 391 395 371 397 382 382 383 378 390 378 396 407 394 414 425 420 417 427 439 439 434 439 430 450 466 441 464 420 433 417 437 438 431 419 438 441 455 446 442 429 434 427 458 458 Employed 311 306 317 323 286 294 262 300 278 271 286 287 268 271 285 300 294 291 299 301 295 301 316 329 308 297 302 320 307 297 302 312 313 303 308 298 299 292 307 321 321 317 323 322 321 301 322 335 Unemployed 100 96 89 87 105 102 109 97 104 111 97 92 121 108 111 107 100 124 126 119 122 126 123 109 126 142 128 129 159 144 161 108 121 114 129 140 132 128 131 120 134 129 120 107 113 125 137 123 Not economically active 286 298 296 294 315 313 339 316 333 335 337 343 335 348 333 324 340 322 314 321 327 319 310 313 319 318 329 312 297 325 305 351 340 359 341 342 352 365 350 349 337 348 354 369 366 376 346 348 Discouraged work-seekers 36 31 30 18 23 33 31 29 46 37 37 36 38 30 33 37 33 31 31 28 23 24 31 44 41 41 38 46 40 40 45 59 53 67 55 56 74 87 72 65 55 66 63 63 84 76 76 67 Other 249 267 266 277 292 280 309 287 287 298 300 307 297 318 300 287 308 291 283 293 304 296 279 268 278 277 291 265 257 285 260 292 287 291 286 286 278 279 278 283 281 282 291 306 282 299 270 281 Rates (%) Unemployment rate 24.4 23.8 22.0 21.2 26.9 25.7 29.3 24.5 27.2 29.0 25.3 24.3 31.1 28.4 28.0 26.4 25.3 29.9 29.6 28.3 29.3 29.5 27.9 24.9 29.0 32.3 29.7 28.7 34.1 32.7 35 25.8 27.8 27.4 29.6 32.0 30.7 30.5 29.9 27.1 29.5 28.9 27.0 25.0 26.0 29.4 29.8 26.9 Employed / population ratio (Absorption) 44.6 43.7 45.1 45.9 40.5 41.5 36.9 42.1 38.9 37.8 39.8 39.7 37.1 37.3 39.1 41.0 40.1 39.5 40.5 40.6 39.6 40.3 42.3 43.8 40.9 39.3 39.8 42.1 40.3 38.7 39 40.4 40.5 39.0 39.6 38.2 38.2 37.2 39.0 40.7 40.5 40.0 40.5 40.3 40.1 37.6 40.0 41.6 Labour force participation rate 59.0 57.4 57.8 58.2 55.4 55.8 52.2 55.7 53.5 53.3 53.2 52.4 53.8 52.1 54.3 55.7 53.7 56.3 57.5 56.6 56.1 57.2 58.6 58.4 57.6 58.0 56.7 59.1 61.1 57.5 60 54.5 56.1 53.7 56.2 56.2 55.1 53.4 55.6 55.9 57.5 56.2 55.6 53.8 54.2 53.2 57.0 56.8 Free State Population 15-64 yrs 1,783 1,785 1,788 1,790 1,793 1,795 1,798 1,800 1,803 1,805 1,808 1,811 1,814 1,817 1,820 1,823 1,826 1,829 1,832 1,835 1,838 1,841 1,845 1,848 1,852 1,855 1,858 1,862 1,865 1,869 1,872 1,875 1,879 1,882 1,884 1,885 1,887 1,888 1,890 1,892 1,895 1,897 1,900 1,902 1,904 1,906 1,908 1,910 Labour Force 1,100 1,099 1,076 1,055 1,072 1,042 1,050 1,048 1,044 1,065 1,084 1,062 1,065 1,062 1,096 1,052 1,075 1,072 1,068 1,084 1,094 1,127 1,111 1,112 1,107 1,147 1,154 1,138 1,152 1,165 1,161 1,176 1,196 1,176 1,186 1,160 1,188 1,184 1,205 1,195 1,211 1,202 1,215 1,202 1,233 1,232 1,213 1,208 Employed 830 820 834 823 807 767 755 787 765 769 762 774 768 765 822 745 732 722 730 729 753 757 737 746 724 745 755 772 802 798 795 825 790 797 781 757 767 777 821 806 814 788 774 806 803 808 795 785 Unemployed 270 279 242 232 266 275 295 260 279 295 322 287 297 297 274 307 343 350 338 355 341 369 374 367 384 401 399 367 350 366 366 351 405 379 405 403 421 407 384 390 397 414 441 396 431 423 419 423 Not economically active 683 686 712 735 720 753 748 753 759 741 724 749 748 755 724 771 751 756 764 751 744 715 734 736 744 708 705 723 713 704 711 700 683 706 699 726 699 704 685 697 684 696 685 699 670 674 694 702 Discouraged work-seekers 55 61 67 78 80 92 87 97 98 84 85 80 85 90 101 86 68 80 85 80 81 66 78 93 78 76 78 77 92 93 69 71 66 81 85 82 88 84 81 89 67 82 70 91 77 121 132 112 Other 628 625 645 658 641 660 660 655 661 657 639 669 663 665 623 684 683 677 679 671 663 649 656 643 667 632 627 647 621 610 642 629 617 625 614 644 611 620 604 608 616 614 615 609 594 554 563 590 Rates (%) Unemployment rate 24.6 25.4 22.5 22.0 24.8 26.4 28.1 24.8 26.7 27.7 29.7 27.1 27.9 28.0 25.0 29.2 31.9 32.7 31.6 32.7 31.2 32.8 33.7 33.0 34.7 35.0 34.6 32.2 30.4 31.4 31.5 29.8 33.9 32.2 34.2 34.7 35.5 34.4 31.8 32.6 32.8 34.4 36.3 32.9 34.9 34.4 34.5 35.0 Employed / population ratio (Absorption) 46.5 45.9 46.6 45.9 45.0 42.7 42.0 43.7 42.4 42.6 42.2 42.8 42.4 42.1 45.2 40.9 40.1 39.5 39.9 39.7 41.0 41.1 40.0 40.3 39.1 40.2 40.6 41.5 43.0 42.7 42.5 44.0 42.1 42.4 41.4 40.2 40.6 41.1 43.5 42.6 43.0 41.5 40.7 42.4 42.2 42.4 41.7 41.1 Labour force participation rate 61.7 61.6 60.2 58.9 59.8 58.1 58.4 58.2 57.9 59.0 60.0 58.6 58.7 58.4 60.2 57.7 58.9 58.6 58.3 59.1 59.5 61.2 60.2 60.2 59.8 61.8 62.1 61.1 61.8 62.3 62.0 62.7 63.6 62.5 62.9 61.5 63.0 62.7 63.8 63.2 63.9 63.3 63.9 63.2 64.8 64.6 63.6 63.2 Free State - Non Metro Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,348 1,349 1,349 1,351 1,352 1,353 1,354 1,354 1,354 1,354 1,354 1,353 1,353 1,353 1,353 1,352 1,352 1,351 1,350 1,349 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 835 840 822 831 846 825 834 803 834 815 815 811 841 821 839 825 847 840 841 833 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 570 568 552 559 540 547 538 523 534 531 556 533 555 526 517 541 541 533 535 524 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 265 272 269 272 307 278 296 279 299 284 259 278 286 294 321 284 306 306 306 309 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 513 509 527 520 506 528 519 551 520 539 538 543 512 533 514 527 505 511 509 516 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 56 62 53 47 43 56 58 62 59 69 68 73 59 76 61 76 57 93 93 83 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 456 447 474 472 463 472 462 489 461 470 470 470 453 457 453 451 448 418 416 433 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 31.7 32.4 32.8 32.7 36.2 33.7 35.5 34.8 35.9 34.8 31.8 34.3 34.1 35.8 38.3 34.4 36.2 36.5 36.4 37.1 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 42.3 42.1 40.9 41.4 39.9 40.4 39.7 38.7 39.5 39.2 41.1 39.4 41.0 38.9 38.2 40.0 40.0 39.5 39.6 38.8 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 61.9 62.3 60.9 61.5 62.6 61.0 61.6 59.3 61.6 60.2 60.2 59.9 62.2 60.6 62.0 61.0 62.7 62.2 62.3 61.8 Free State - Mangaung Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 518 520 523 524 527 529 531 532 533 534 536 539 542 544 547 550 552 555 558 561 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 317 325 339 344 349 351 351 357 355 369 390 384 370 381 376 378 387 392 372 374 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 232 231 243 266 251 250 243 234 232 246 265 273 260 262 257 265 262 275 260 261 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 85 94 97 79 99 101 109 123 122 123 124 111 111 120 120 112 124 117 113 113 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 200 195 184 180 177 178 179 175 179 166 147 155 171 163 171 172 166 163 186 186 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 36 31 16 23 23 25 27 20 29 15 12 16 8 6 9 14 20 27 39 29 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 165 163 167 157 154 153 152 155 149 151 134 139 163 157 162 158 146 136 147 157 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 26.9 29.0 28.5 22.8 28.2 28.8 30.9 34.5 34.4 33.4 31.9 29.0 29.9 31.4 31.8 29.7 32.2 29.9 30.2 30.3 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 44.8 44.4 46.4 50.7 47.6 47.3 45.8 44.0 43.6 46.0 49.5 50.7 47.9 48.1 46.9 48.3 47.5 49.5 46.6 46.6 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 61.3 62.5 64.9 65.7 66.3 66.3 66.2 67.1 66.5 69.0 72.7 71.3 68.4 70.0 68.8 68.7 70.0 70.6 66.7 66.8 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals. Table 2.3: Labour force characteristics by province and metro (concluded) Jan-Mar 2008 Apr-Jun 2008 Jul-Sep 2008 Oct-Dec 2008 Jan-Mar 2009 Apr-Jun 2009 Jul-Sep 2009 Oct-Dec 2009 Jan-Mar 2010 Apr-Jun 2010 Jul-Sep 2010 Oct-Dec 2010 Jan-Mar 2011 Apr-Jun 2011 Jul-Sep 2011 Oct-Dec 2011 Jan-Mar 2012 Apr-Jun 2012 Jul-Sep 2012 Oct-Dec 2012 Jan-Mar 2013 Apr-Jun 2013 Jul-Sep 2013 Oct-Dec 2013 Jan-Mar 2014 Apr-Jun 2014 Jul-Sep 2014 Oct-Dec 2014 Jan-Mar 2015 Jan-Mar 2015 Jul-Sep 2015 Oct-Dec 2015 Jan-Mar 2016 Apr-Jun 2016 Jul-Sep 2016 Oct-Dec 2016 Jan-Mar 2017 Apr-Jun 2017 Jul-Sep 2017 Oct-Dec 2017 Jan-Mar 2018 Apr-Jun 2018 Jul-Sep 2018 Oct-Dec 2018 Jan-Mar 2019 Apr-Jun 2019 Jul-Sep 2019 Oct-Dec 2019 Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand Thousand KwaZulu Natal Population 15-64 yrs 5,993 6,016 6,041 6,065 6,090 6,114 6,139 6,164 6,188 6,213 6,238 6,262 6,286 6,311 6,336 6,360 6,384 6,408 6,432 6,456 6,479 6,502 6,527 6,549 6,572 6,596 6,619 6,643 6,667 6,690 6,715 6,739 6,764 6,789 6,815 6,841 6,868 6,894 6,921 6,948 6,975 7,002 7,029 7,055 7,082 7,109 7,135 7,161 Labour Force 3,257 3,280 3,247 3,249 3,194 2,994 2,979 2,944 2,948 2,937 2,853 2,913 2,915 3,000 2,973 3,047 3,027 3,009 3,074 3,073 3,049 3,136 3,235 3,154 3,186 3,249 3,187 3,183 3,330 3,209 3,237 3,181 3,272 3,204 3,262 3,340 3,443 3,397 3,362 3,310 3,368 3,349 3,420 3,561 3,469 3,563 3,610 3,554 Employed 2,525 2,560 2,541 2,584 2,490 2,430 2,433 2,386 2,385 2,332 2,296 2,348 2,337 2,399 2,417 2,473 2,423 2,429 2,441 2,399 2,424 2,440 2,569 2,527 2,527 2,480 2,419 2,520 2,546 2,556 2,573 2,529 2,515 2,479 2,496 2,541 2,555 2,583 2,536 2,513 2,617 2,620 2,635 2,648 2,598 2,635 2,674 2,664 Unemployed 732 720 705 666 704 565 546 558 562 605 558 565 578 601 556 574 604 579 632 674 625 696 666 627 659 769 768 663 784 653 664 652 757 726 766 799 889 814 825 797 751 729 786 913 872 929 936 890 Not economically active 2,736 2,736 2,794 2,816 2,896 3,120 3,160 3,219 3,241 3,275 3,384 3,350 3,371 3,311 3,363 3,313 3,357 3,400 3,359 3,383 3,430 3,366 3,291 3,395 3,386 3,347 3,432 3,460 3,337 3,481 3,478 3,558 3,493 3,585 3,553 3,501 3,424 3,497 3,559 3,638 3,607 3,653 3,608 3,494 3,612 3,545 3,526 3,608 Discouraged work-seekers 179 165 201 215 260 436 463 435 471 478 527 499 548 555 508 504 548 556 534 553 544 573 541 573 620 615 638 616 562 598 567 608 623 639 704 708 655 676 705 719 851 887 814 765 824 758 766 824 Other 2,557 2,571 2,592 2,600 2,636 2,684 2,697 2,784 2,770 2,797 2,857 2,851 2,823 2,756 2,855 2,810 2,809 2,844 2,825 2,830 2,885 2,794 2,750 2,822 2,766 2,732 2,794 2,844 2,774 2,883 2,911 2,950 2,869 2,946 2,849 2,794 2,769 2,821 2,854 2,919 2,756 2,765 2,795 2,730 2,788 2,787 2,759 2,784 Rates (%) Unemployment rate 22.5 21.9 21.7 20.5 22.1 18.9 18.3 19.0 19.1 20.6 19.5 19.4 19.8 20.0 18.7 18.8 20.0 19.3 20.6 21.9 20.5 22.2 20.6 19.9 20.7 23.7 24.1 20.8 23.6 20.4 20.5 20.5 23.1 22.6 23.5 23.9 25.8 24.0 24.6 24.1 22.3 21.8 23.0 25.6 25.1 26.1 25.9 25.0 Employed / population ratio (Absorption) 42.1 42.6 42.1 42.6 40.9 39.7 39.6 38.7 38.5 37.5 36.8 37.5 37.2 38.0 38.1 38.9 38.0 37.9 38.0 37.2 37.4 37.5 39.4 38.6 38.4 37.6 36.5 37.9 38.2 38.2 38.3 37.5 37.2 36.5 36.6 37.1 37.2 37.5 36.6 36.2 37.5 37.4 37.5 37.5 36.7 37.1 37.5 37.2 Labour force participation rate 54.3 54.5 53.8 53.6 52.4 49.0 48.5 47.8 47.6 47.3 45.7 46.5 46.4 47.5 46.9 47.9 47.4 47.0 47.8 47.6 47.1 48.2 49.6 48.2 48.5 49.3 48.1 47.9 49.9 48.0 48.2 47.2 48.4 47.2 47.9 48.8 50.1 49.3 48.6 47.6 48.3 47.8 48.7 50.5 49.0 50.1 50.6 49.6 KwaZulu-Natal - Non Metro Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 4,323 4,341 4,360 4,379 4,398 4,417 4,436 4,456 4,476 4,496 4,516 4,536 4,556 4,576 4,596 4,616 4,636 4,655 4,675 4,695 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,957 1,891 1,904 1,845 1,913 1,803 1,832 1,855 1,937 1,883 1,853 1,816 1,855 1,835 1,940 2,054 1,963 2,080 2,103 2,048 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,442 1,455 1,450 1,406 1,413 1,353 1,355 1,384 1,377 1,399 1,379 1,346 1,412 1,397 1,424 1,469 1,438 1,475 1,491 1,473 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 515 436 454 439 500 450 477 471 560 484 474 470 443 437 516 585 525 604 612 575 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2,366 2,450 2,455 2,533 2,485 2,614 2,604 2,601 2,539 2,613 2,663 2,720 2,701 2,741 2,656 2,562 2,672 2,576 2,573 2,647 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 448 471 443 489 496 517 584 622 541 561 597 635 746 757 661 628 732 606 611 664 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,918 1,979 2,013 2,045 1,988 2,097 2,021 1,979 1,998 2,051 2,066 2,085 1,955 1,984 1,995 1,934 1,941 1,970 1,961 1,983 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 26.3 23.1 23.9 23.8 26.1 25.0 26.1 25.4 28.9 25.7 25.6 25.9 23.9 23.8 26.6 28.5 26.7 29.1 29.1 28.1 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 33.4 33.5 33.3 32.1 32.1 30.6 30.5 31.1 30.8 31.1 30.5 29.7 31.0 30.5 31.0 31.8 31.0 31.7 31.9 31.4 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 45.3 43.6 43.7 42.1 43.5 40.8 41.3 41.6 43.3 41.9 41.0 40.0 40.7 40.1 42.2 44.5 42.3 44.7 45.0 43.6 KwaZulu-Natal - eThekwini Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2,344 2,349 2,355 2,361 2,367 2,372 2,379 2,385 2,392 2,398 2,405 2,412 2,419 2,426 2,433 2,439 2,446 2,453 2,460 2,467 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,373 1,318 1,333 1,336 1,359 1,401 1,430 1,485 1,506 1,514 1,509 1,494 1,513 1,515 1,480 1,507 1,506 1,484 1,507 1,505 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,104 1,101 1,123 1,124 1,102 1,126 1,141 1,157 1,178 1,184 1,157 1,167 1,205 1,222 1,211 1,179 1,160 1,159 1,183 1,191 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 269 217 210 213 257 276 289 327 329 330 352 327 308 292 269 328 347 324 323 315 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 971 1,031 1,022 1,025 1,008 971 948 901 885 884 896 918 906 911 952 933 940 969 953 961 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 114 127 124 119 127 122 120 86 114 115 108 84 105 130 153 137 92 152 155 160 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 857 904 898 905 881 849 828 815 772 769 788 834 801 781 799 796 848 817 798 801 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 19.6 16.5 15.7 15.9 18.9 19.7 20.2 22.0 21.8 21.8 23.3 21.9 20.3 19.3 18.2 21.8 23.0 21.9 21.5 20.9 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 47.1 46.9 47.7 47.6 46.6 47.4 48.0 48.5 49.2 49.4 48.1 48.4 49.8 50.4 49.8 48.3 47.4 47.3 48.1 48.3 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 58.6 56.1 56.6 56.6 57.4 59.1 60.1 62.2 63.0 63.1 62.7 61.9 62.5 62.4 60.8 61.8 61.6 60.5 61.3 61.0 North West Population 15-64 yrs 2,130 2,138 2,147 2,156 2,165 2,174 2,183 2,192 2,202 2,211 2,221 2,231 2,240 2,250 2,261 2,271 2,281 2,292 2,303 2,313 2,324 2,335 2,345 2,356 2,367 2,378 2,389 2,400 2,411 2,422 2,434 2,445 2,456 2,468 2,479 2,490 2,501 2,512 2,523 2,534 2,545 2,556 2,567 2,577 2,588 2,599 2,609 2,620 Labour Force 1,168 1,181 1,202 1,227 1,230 1,197 1,122 1,104 1,086 1,112 1,114 1,091 1,079 1,066 1,067 1,041 1,067 1,078 1,117 1,102 1,123 1,153 1,158 1,194 1,203 1,188 1,258 1,268 1,274 1,256 1,235 1,273 1,284 1,259 1,294 1,304 1,328 1,343 1,332 1,313 1,338 1,323 1,360 1,325 1,318 1,370 1,380 1,393 Employed 911 912 881 912 900 868 810 808 803 803 806 826 809 777 763 788 788 796 838 847 828 845 851 869 870 879 921 948 912 940 921 969 924 915 900 959 976 978 983 999 992 977 979 973 970 918 960 992 Unemployed 257 268 320 315 330 328 313 297 283 309 308 264 270 289 304 253 279 282 278 256 295 308 306 326 333 309 338 320 361 316 314 304 360 344 395 345 353 365 349 314 346 346 381 352 348 452 420 401 Not economically active 961 958 945 929 935 977 1,061 1,088 1,116 1,099 1,107 1,140 1,161 1,185 1,194 1,230 1,214 1,214 1,186 1,211 1,201 1,182 1,188 1,162 1,164 1,190 1,131 1,132 1,138 1,166 1,198 1,172 1,172 1,209 1,185 1,186 1,173 1,169 1,191 1,221 1,207 1,232 1,207 1,253 1,270 1,228 1,230 1,227 Discouraged work-seekers 155 126 98 101 106 117 130 147 143 168 153 209 203 262 269 290 278 289 222 221 216 246 237 236 245 252 229 225 264 231 243 241 251 259 229 231 254 269 294 285 296 323 300 313 339 260 275 271 Other 806 831 847 828 829 861 931 941 972 931 954 931 959 923 926 940 936 925 964 990 985 936 951 926 919 938 902 907 874 935 956 931 920 950 956 955 919 900 897 936 911 909 906 940 931 968 955 956 Rates (%) Unemployment rate 22.0 22.7 26.7 25.7 26.8 27.4 27.8 26.9 26.1 27.8 27.7 24.2 25.0 27.1 28.5 24.3 26.1 26.2 24.9 23.2 26.3 26.7 26.5 27.3 27.7 26.0 26.8 25.2 28.4 25.2 25.4 23.9 28.1 27.3 30.5 26.5 26.5 27.2 26.2 23.9 25.8 26.1 28.0 26.6 26.4 33.0 30.4 28.8 Employed / population ratio (Absorption) 42.8 42.7 41.0 42.3 41.6 39.9 37.1 36.8 36.5 36.3 36.3 37.0 36.1 34.5 33.7 34.7 34.5 34.7 36.4 36.6 35.6 36.2 36.3 36.9 36.8 37.0 38.5 39.5 37.8 38.8 37.9 39.6 37.6 37.1 36.3 38.5 39.0 38.9 39.0 39.4 39.0 38.2 38.1 37.7 37.5 35.3 36.8 37.9 Labour force participation rate 54.8 55.2 56.0 56.9 56.8 55.0 51.4 50.4 49.3 50.3 50.2 48.9 48.2 47.4 47.2 45.8 46.8 47.0 48.5 47.7 48.3 49.4 49.4 50.7 50.8 49.9 52.7 52.8 52.8 51.9 50.8 52.1 52.3 51.0 52.2 52.4 53.1 53.5 52.8 51.8 52.6 51.8 53.0 51.4 50.9 52.7 52.9 53.2 Gauteng Population 15-64 yrs 8,070 8,115 8,161 8,206 8,251 8,297 8,344 8,391 8,437 8,484 8,532 8,581 8,630 8,679 8,728 8,778 8,827 8,877 8,929 8,981 9,034 9,087 9,141 9,195 9,249 9,304 9,359 9,414 9,469 9,524 9,580 9,636 9,692 9,748 9,802 9,854 9,905 9,957 10,009 10,059 10,109 10,159 10,210 10,260 10,310 10,360 10,410 10,459 Labour Force 5,957 5,968 5,999 5,966 5,996 6,010 5,881 5,927 6,003 6,029 5,954 6,031 6,124 6,190 6,181 6,158 6,297 6,224 6,284 6,174 6,327 6,325 6,373 6,452 6,463 6,368 6,388 6,473 6,857 6,788 7,023 7,026 7,011 7,008 7,145 7,163 7,336 7,201 7,259 7,043 7,097 7,195 7,216 7,276 7,263 7,358 7,332 7,369 Employed 4,612 4,689 4,704 4,746 4,715 4,641 4,354 4,414 4,371 4,398 4,320 4,419 4,475 4,441 4,453 4,607 4,659 4,637 4,729 4,724 4,733 4,750 4,823 4,823 4,794 4,803 4,820 4,881 4,911 4,969 5,011 5,090 4,895 4,942 5,068 5,111 5,193 5,050 5,068 4,991 5,069 5,055 5,077 5,163 5,162 5,066 5,060 5,098 Unemployed 1,345 1,279 1,295 1,220 1,281 1,370 1,527 1,513 1,632 1,631 1,634 1,612 1,649 1,749 1,728 1,551 1,638 1,587 1,555 1,449 1,594 1,575 1,550 1,629 1,669 1,565 1,569 1,593 1,945 1,819 2,012 1,936 2,115 2,066 2,078 2,051 2,143 2,151 2,191 2,052 2,029 2,140 2,139 2,113 2,102 2,292 2,271 2,271 Not economically active 2,113 2,147 2,162 2,240 2,256 2,287 2,463 2,463 2,434 2,455 2,579 2,550 2,506 2,488 2,547 2,620 2,530 2,653 2,645 2,807 2,707 2,762 2,768 2,743 2,786 2,936 2,971 2,941 2,613 2,736 2,558 2,610 2,681 2,740 2,657 2,691 2,570 2,756 2,749 3,016 3,012 2,965 2,994 2,984 3,046 3,002 3,078 3,089 Discouraged work-seekers 235 191 181 168 160 183 213 273 280 276 374 350 354 260 258 340 326 318 300 347 380 360 357 251 310 349 391 379 330 356 200 197 216 293 268 242 207 252 263 383 445 428 413 425 413 367 387 416 Other 1,878 1,956 1,981 2,072 2,096 2,104 2,249 2,190 2,154 2,179 2,205 2,200 2,152 2,228 2,289 2,280 2,204 2,334 2,345 2,461 2,326 2,402 2,411 2,492 2,475 2,587 2,580 2,562 2,283 2,381 2,358 2,414 2,465 2,448 2,389 2,449 2,362 2,504 2,486 2,633 2,567 2,537 2,581 2,559 2,633 2,635 2,691 2,674 Rates (%) Unemployment rate 22.6 21.4 21.6 20.4 21.4 22.8 26.0 25.5 27.2 27.1 27.4 26.7 26.9 28.3 28.0 25.2 26.0 25.5 24.8 23.5 25.2 24.9 24.3 25.2 25.8 24.6 24.6 24.6 28.4 26.8 28.6 27.6 30.2 29.5 29.1 28.6 29.2 29.9 30.2 29.1 28.6 29.7 29.6 29.0 28.9 31.1 31.0 30.8 Employed / population ratio (Absorption) 57.1 57.8 57.6 57.8 57.1 55.9 52.2 52.6 51.8 51.8 50.6 51.5 51.9 51.2 51.0 52.5 52.8 52.2 53.0 52.6 52.4 52.3 52.8 52.5 51.8 51.6 51.5 51.8 51.9 52.2 52.3 52.8 50.5 50.7 51.7 51.9 52.4 50.7 50.6 49.6 50.1 49.8 49.7 50.3 50.1 48.9 48.6 48.7 Labour force participation rate 73.8 73.5 73.5 72.7 72.7 72.4 70.5 70.6 71.2 71.1 69.8 70.3 71.0 71.3 70.8 70.2 71.3 70.1 70.4 68.7 70.0 69.6 69.7 70.2 69.9 68.4 68.3 68.8 72.4 71.3 73.3 72.9 72.3 71.9 72.9 72.7 74.1 72.3 72.5 70.0 70.2 70.8 70.7 70.9 70.5 71.0 70.4 70.5 Gauteng - Non Metro Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,293 1,298 1,302 1,307 1,311 1,315 1,319 1,323 1,326 1,330 1,333 1,336 1,338 1,341 1,344 1,347 1,349 1,352 1,355 1,357 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 877 851 850 859 853 848 884 867 900 879 885 856 838 854 853 805 812 874 830 850 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 610 617 602 623 594 587 598 583 624 600 598 625 604 611 608 590 580 580 568 604 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 267 233 248 236 259 261 286 284 276 279 287 231 234 242 245 215 232 294 262 246 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 416 447 453 448 458 468 436 456 426 450 448 480 500 488 491 542 537 478 524 507 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 66 104 73 59 70 86 60 47 56 58 68 84 110 120 123 152 131 79 111 119 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 351 344 380 388 389 382 376 409 370 392 380 396 390 368 368 389 406 399 414 389 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 30.5 27.4 29.2 27.5 30.3 30.8 32.3 32.7 30.7 31.7 32.4 26.9 28.0 28.4 28.7 26.8 28.6 33.6 31.6 29.0 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 47.1 47.5 46.2 47.6 45.3 44.6 45.3 44.1 47.0 45.1 44.9 46.8 45.1 45.6 45.2 43.8 43.0 42.9 41.9 44.5 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 67.8 65.5 65.2 65.7 65.0 64.4 67.0 65.6 67.9 66.1 66.4 64.1 62.6 63.6 63.5 59.8 60.2 64.6 61.3 62.6 Gauteng - Ekurhuleni Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2,411 2,423 2,435 2,447 2,459 2,471 2,482 2,493 2,503 2,513 2,523 2,532 2,541 2,551 2,560 2,569 2,578 2,587 2,595 2,604 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,721 1,687 1,830 1,816 1,748 1,775 1,788 1,823 1,873 1,829 1,879 1,840 1,814 1,821 1,802 1,842 1,853 1,907 1,911 1,897 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,194 1,190 1,275 1,256 1,145 1,161 1,222 1,264 1,296 1,259 1,274 1,222 1,253 1,213 1,245 1,268 1,295 1,299 1,318 1,294 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 527 496 555 559 603 615 566 558 577 570 605 618 561 608 557 574 558 607 593 603 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 690 737 605 632 711 696 694 670 630 684 644 692 727 730 758 726 725 680 684 707 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 74 85 43 42 61 84 77 77 67 73 67 74 86 104 110 102 117 110 109 105 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 616 652 562 590 651 612 617 593 563 611 577 617 641 626 648 625 608 570 575 602 Rates (%) Unemployment rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 30.6 29.4 30.3 30.8 34.5 34.6 31.7 30.6 30.8 31.2 32.2 33.6 30.9 33.4 30.9 31.2 30.1 31.8 31.0 31.8 Employed / population ratio (Absorption) - - - - - - - - - - - - - - - - - - - - - - - - - - - - 49.5 49.1 52.4 51.3 46.5 47.0 49.2 50.7 51.8 50.1 50.5 48.3 49.3 47.6 48.6 49.4 50.2 50.2 50.8 49.7 Labour force participation rate - - - - - - - - - - - - - - - - - - - - - - - - - - - - 71.4 69.6 75.1 74.2 71.1 71.8 72.0 73.1 74.8 72.8 74.5 72.7 71.4 71.4 70.4 71.7 71.9 73.7 73.6 72.8 Gauteng - City of Johannesburg Population 15-64 yrs - - - - - - - - - - - - - - - - - - - - - - - - - - - - 3,460 3,483 3,508 3,532 3,556 3,580 3,605 3,628 3,652 3,676 3,700 3,724 3,748 3,772 3,796 3,820 3,844 3,868 3,892 3,916 Labour Force - - - - - - - - - - - - - - - - - - - - - - - - - - - - 2,654 2,655 2,702 2,704 2,746 2,741 2,753 2,765 2,777 2,765 2,769 2,658 2,808 2,822 2,825 2,856 2,859 2,813 2,830 2,891 Employed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1,946 1,959 1,898 1,950 1,926 1,963 1,978 1,995 1,992 1,934 1,950 1,910 2,000 2,019 1,999 2,029 2,008 1,950 1,914 1,945 Unemployed - - - - - - - - - - - - - - - - - - - - - - - - - - - - 708 695 803 755 820 777 775 770 785 831 819 749 807 803 826 827 851 864 916 946 Not economically active - - - - - - - - - - - - - - - - - - - - - - - - - - - - 806 829 806 827 810 840 852 864 875 911 931 1,066 940 949 971 964 985 1,055 1,062 1,025 Discouraged work-seekers - - - - - - - - - - - - - - - - - - - - - - - - - - - - 86 75 16 26 21 44 76 67 54 63 57 123 96 86 71 84 70 99 79 77 Other - - - - - - - - - - - - - - - - - - - - - - - - - - - - 719 753 790 801 789 795 775 797 821 848 874 942 844 864 899 880 915 956 983 948 Rates (%)
id label tweet 1 0 @user when a father is dysfunctional and is so selfish he drags his kids into his dysfunction. #run 2 0 @user @user thanks for #lyft credit i can't use cause they don't offer wheelchair vans in pdx. #disapointed #getthanked 3 0 bihday your majesty 4 0 #model i love u take with u all the time in ur�!!! ������� 5 0 factsguide: society now #motivation 6 0 [2/2] huge fan fare and big talking before they leave. chaos and pay disputes when they get there. #allshowandnogo 7 0 @user camping tomorrow @user @user @user @user @user @user @user danny� 8 0 the next school year is the year for exams.� can't think about that � #school #exams #hate #imagine #actorslife #revolutionschool #girl 9 0 we won!!! love the land!!! #allin #cavs #champions #cleveland #clevelandcavaliers � 10 0 @user @user welcome here ! i'm it's so #gr8 ! 11 0 � #ireland consumer price index (mom) climbed from previous 0.2% to 0.5% in may #blog #silver #gold #forex 12 0 we are so selfish. #orlando #standwithorlando #pulseshooting #orlandoshooting #biggerproblems #selfish #heabreaking #values #love # 13 0 i get to see my daddy today!! #80days #gettingfed 14 1 @user #cnn calls #michigan middle school 'build the wall' chant '' #tcot 15 1 no comment! in #australia #opkillingbay #seashepherd #helpcovedolphins #thecove #helpcovedolphins 16 0 ouch...junior is angry�#got7 #junior #yugyoem #omg 17 0 i am thankful for having a paner. #thankful #positive 18 1 retweet if you agree! 19 0 its #friday! � smiles all around via ig user: @user #cookies make people 20 0 as we all know, essential oils are not made of chemicals. 21 0 #euro2016 people blaming ha for conceded goal was it fat rooney who gave away free kick knowing bale can hit them from there. 22 0 sad little dude.. #badday #coneofshame #cats #pissed #funny #laughs 23 0 product of the day: happy man #wine tool who's it's the #weekend? time to open up &amp; drink up! 24 1 @user @user lumpy says i am a . prove it lumpy. 25 0 @user #tgif #ff to my #gamedev #indiedev #indiegamedev #squad! @user @user @user @user @user 26 0 beautiful sign by vendor 80 for $45.00!! #upsideofflorida #shopalyssas #love 27 0 @user all #smiles when #media is !! �� #pressconference in #antalya #turkey ! sunday #throwback love! ���� 28 0 we had a great panel on the mediatization of the public service #ica16 29 0 happy father's day @user ���� 30 0 50 people went to nightclub to have a good night and 1 man's actions means those people are lost to their families forever #rip#orlando 31 0 i have never had a chance to vote for a presidential candidate i was excited about and this cycle looks to be no different. 32 0 #alohafriday #time does #not #exist #positivevibes #hawaiian @user @user @user @user 33 0 @user rip to the fellow nohern ireland fan who sadley passed away tonight!.. gawa, forever singing and cheering on fire 34 0 it was a hard monday due to cloudy weather. disabling oxygen production for today. #goodnight #badmonday 35 1 it's unbelievable that in the 21st century we'd need something like this. again. #neverump #xenophobia 36 0 #taylorswift1989 bull up: you will dominate your bull and you will direct it whatever you want it to do. w 37 0 morning~~ #travelingram #dalat #ripinkylife 38 0 @user once more only one word tells it all: #photoshop. #enoughisenough #dontphotoshopeverything #wheresallthenaturalphotos 39 0 oh, #cedarpoint. waited 2 hours in the valravn line and it stopped working. we were so close. 40 0 i am thankful for sunshine. #thankful #positive 41 0 when you finally finish a book you've been working on for awhile... #bookworm #ontothenextnovel 42 0 yup, being a knicks fan is hard, so its easier to just be an nba fan when the playoffs roll around � 43 0 there is life after social networking. embrace each day. be 44 0 my mom shares the same bihday as @user bihday snake! see you this weekend �� 45 0 lovely echeveria blooms#flowers #grow #gardening #iphonesia #bliss #blooms #basilicabotanica 46 0 i am amazing. #i_am #positive #affirmation 47 0 #model i love u take with u all the time in ur�!!! ������� 48 0 #whenever im and #something goes #wrong | 49 0 feeling blue #illustration 50 0 the best pa about life is knowing who you are! ����� � 51 0 #abc2020 getting ready 2 remove the victums frm #pulseclub #prayfororlando 52 0 for her #bihday we got her a #nose #job @user ����� #bihday #petunia we love you � 53 0 off to concelebrate at the #albanpilgrimage for the first time. @user 54 0 @user let the scum-baggery begin..... 55 0 thank you! �� super love it! �� zpamdelacruz #wedding# @ dolores, capas tarlac. 56 0 a scourge on those playing baroque pieces on piano beyond belief 57 1 @user lets fight against #love #peace 58 0 happy father�s day, mr. rayos #video #fathers #day #rayos #world #hotvideo #videos 59 0 @user ascot times with this babe ���� #ascot #fashion #monochrome #style #instahappyday 60 0 the weekend..is here!!����� #selfie #yolo #xoxo #like4like 61 0 happy at work conference: right' mindset leads to culture-of-development organizations #work #mindset 62 0 christina grimmie's last performance before being shot... via @user #christinarip #voice #christinagrimmie 63 0 we are ready to dance #roar #preschoolers #students #proud� 64 0 you've really hu my feelings :( 65 0 @user my wife whom i adore had to miss your poland show because she had surgery. her name is bridget &amp; she's my everything. 66 0 @user i am so jealous of you right now.... #chatiado 67 0 i celebrate every man that has played it's fatherly role. father's day# 68 0 i'm sure they are just as happy.... ������ hour 69 1 �the white establishment can't have blk folx running around loving themselves and promoting our greatness 70 0 good morning! the journey begins! ���� #travel #yeah #thejourneybegins #hello� 71 0 @user # if you #luv #hottweets like this from � �#venusexchange� 72 0 our new brochures have arrived! how exciting!! #aworks #solutions 73 0 so much stuff happening in florida! first #orlando shooting and now #disneygatorattack on a two year old kid�� 74 0 @user ferrari will do it�� for the sake of the championship. this gp is clearly a turning point rb, ferrari,mercs...� 75 0 aced my first test! #proud 76 0 seeks probe into #udtapunjab' leak, points finger at #amarinder, #aap 77 0 @user wrapping up #senseaboutmaths @user 6th @user @user @user 78 1 @user hey, white people: you can call people 'white' by @user #race #identity #med� 79 0 @user @user you might be. just have not shown here today. regurgitated talking points and name calling? 80 0 sometimes you have to raise a few brows to raise the bar. #golfstrengthandconditioning #strong #felixfoisgolf 81 0 about that ��� #greathonour #careerconvos @user @user 82 0 @user designing #innovative learning space @user to include #wateringhole #cave #mountaintop #campfire @user h� 83 1 how the #altright uses &amp; insecurity to lure men into #whitesupremacy 84 0 carrying a gun wouldn't of helped if you can't take it in with you. gun control won't stop the black market! terrorism will get worse! 85 0 use the power of your mind to #heal your body!! - #altwaystoheal #healthy #peace! 86 0 woohoo!! just over 5 weeks to go! 87 0 being in a far away place where you have no family members hus 88 0 ready to rehearse tonight with new music and new videos, look out for the announcement! #midweek #newmusic #watchthisspace #guitar 89 0 now on monday nights at 8pm on #up channel!!!! i finally get to see what all the fuss is about!!! 90 0 watching the new episodes of @user on @user 91 0 @user offline now after a very nice and long night.. � #snapchat @user #redhead #vermillionred 92 0 15 things incredibly #people do 93 0 yes! received my acceptance letter for my masters so will be back at @user again in october! #goodtimes #history 94 0 daughter riding her bike around driveway, son playing his guitar for us while we enjoy � by the campfire... #summeime #memories 95 0 omg!!! loving this station!!! way to jam out at work!!! while getting work done of course!!!! #memories @user 96 0 @user i'll always hope that one day i'll get to hug you, but i don't think that it's gonna happen anytime soon... 97 0 #model i love u take with u all the time in ur�!!! ������� 98 0 couple having sex fat naked japanese girls 99 0 #hump on that #hump day #humpers� @ edwardsville, pennsylvania 100 0 personalised we... gbp 7.99 get here: #shop #cool #home #fun 101 0 there are some truly sick ppl out there. 102 0 trump calling on obama to resign over the orlando shootings? the boy has a point. 8 years and all he did was "talk" about change. 103 0 @user @user @user @user not long now!!! #nashvilletour2016 #nashvilleforever ��� 104 0 � #eur/usd clears 1.1400 barrier, jumps to fresh 4-week high #blog #silver #gold #forex 105 0 going to la tomorrow!!! 106 0 i am thankful for good friends. #thankful #positive 107 0 i still can not wrap my head around the fact that #christinagrimmie is gone. and the fact that a man destroyed #prayfororlando just 108 0 just received dis from @user can't wait to sta baking #eyelids .������ ���� 109 0 we were so to be playing for #vigilfororlando #harp #clonakilty #rip via @user 110 0 @user yes yes yes #ihavenofriends #someonecomewithme 111 0 sunday...� #weekend #relax #icon #woman #sundaymorning #sunday #marilynmonroe 112 1 @user i'm not interested in a #linguistics that doesn't address #race &amp; . racism is about #power. #raciolinguistics brings� 113 0 one of my beloved long lost cds, now recovered thanks to apple music. ! 114 0 #marvel #song #musica #weed #ripchristina #adele #dance (vine by @user 115 1 @user why not @user mocked obama for being black. @user @user @user @user #brexit 116 0 � #under the spell of brexit referendum - commerzbank #blog #silver #gold #forex 117 0 100 amazing health benefits of cucumbers! #healthy is !! #altwaystoheal! 118 0 #model i love u take with u all the time in ur�!!! ������� 119 0 off to work ���� #ofw #pinoy #followme #igers #instagood #smile #love # 120 0 #toradora #anime #animeedit i made it. #breakups #alone #lonely 121 0 50 laps of pool, 10k ride done and picked up a gym membership form 122 0 #cotd polar bear climb racing: angry polar bear climb racing, the polar bear living in cold places looking 123 0 @user @user gets him angry. a muslim assassinating 50 not so much. 124 0 happy snappy �� waiting for the football #football #snapchat 125 0 friday i miss you!! #fringes#qcbags#summer �������� 126 0 #nochebuena #lasvegas #usa @ las vegas strip 127 0 ma fleurette �� #instaboy#instaman#sefie#septum#friend #smiles#blackandwhite 128 0 sad in the branches it�s just rainy day writing tears are flying birds #haiku #3lines #micropoetry 129 0 yeah! new buttons in the mail for me � they are so pretty! :) #jewelrymaking #buttons 130 0 @user driver hit female moose on river rd #weston. moose was killed. driver is ok. crews removing animal now 131 0 afterpas. made in japan. �madeinjapan #eos �cute #fun #cawaii #love #strawberry #tomato 132 1 #people aren't protesting #trump because a #republican won-they do so because trump has fuhered &amp;� 133 0 i need to find a way to spend my time so you are not always on my mind. . . #me #boy #guy � 134 0 [1466047260.15] update @ #social #analytics #photooftheday #igers #likes 135 0 anyone know the date our #doj and #fbi became corrupted? #emailgate #hillary2016 #shameful #disgraceful #ridiculous 136 0 #stupidity makes me more than even #negligence.why put #sachintendulkar a installation if u were going to take it off? 137 0 ������� #���� bihday� #21thbihday � #bestfriend � #love� 138 0 @user � d most impoant thing is to #enjoy your life - to be - it�s all that matters. life is too sho. #pooh4u 139 0 happy bihday chris evans������� a great actor and human ��������� #chrisevans #bihday� 140 0 our heas, thoughts, prayers go out to the more than 50 people who were murdered @ a gay nightclub in #florida 141 0 @user demoing guitars for new album #newalbum #indie #guitars #echobelly 142 0 retweeted lion pro (@user #tgif #webmareting #seo #community #management #weekend... 143 0 � #nzd/usd: targets the 100 week sma at 0.7190 #blog #silver #gold #forex 144 0 @user i've had pretty bad bihday weeks before, but so far this is the worst ever. � #bihdayweeksucks #bithday27 #t� 145 0 so blessed to have worked with sa's best leading ladies�� 146 0 happiest place on eah � #disneysmagickingdom #disney #magickingdom #disneyland #orlando� 147 0 is kinda to be among humans again. 148 0 just found out @user is at @user after i'd been exclaiming to @user how gr8 blain's hair was the other nite. � 149 0 @user &lt;3 listen to my most beautiful best friend @user singing with her most amazing voice &lt;3 &lt;3 &lt;3 &lt;3 17 150 0 be n #healthy freedom from effo in the present merely means that there has been effo stored up in the past. � theodore roosevelt� 151 0 when you know yall 2 aint going know where :) #love #commitment #trust #faithful 152 1 yes it's when you call #michelleobama a gorilla because racists have long thought of black people as no bet� 153 0 #newarkfestival this is us all this year waiting for the show to sta our 3rd year running 154 0 when the internet is broken so you can't watch netflix. #mochithepug #puglife 155 0 @user @user @user and she will do just that....then what..business as usual. 156 0 hbd to this dick suckin tequila lovin slut, i wouldnt want u any other way �� #justalillate #butstillontime 157 1 as the smaller hands show, barry probably lied about being why his #knicks game sucked more than his #golf� 158 0 good morning friday! what is everyone doing this weekend? #goodmorning #friday #girls #love #florida 159 0 challenges #aap's claim that 70% #punjabis are #drugaddicts, dares it to prove 160 0 #tracerequest sending my deepest condolences to the orlando gay families. zimbabwe gay community has you at hea #touched 161 0 new selfie \¤.¤/ #guy #mato #chapones 162 0 saturday afternoon chi meet up #friends @user @user @user 163 0 #model i love u take with u all the time in ur�!!! ������� 164 0 soed out all my nut &amp; bolts. #bloke 165 0 aww yeah it's all good bing bong bing bong 166 0 just dawned on me in 2 months i will be seeing @user live. i am so excited ��� #vfest #summer 167 0 @user happy 35th bihday shane robe watson!! #bihday #shane #watson #australia #cricker 168 1 @user @user you point one finger @user millions are pointed right back at you, #jewishsupremacist 169 0 sad to hear the announcers say that "it may have moved the player to one or two out of the lead" #whoknows! 170 0 #radio1 i'm going to #coldplay tonight oh yes. 171 0 u think like this too? the god who is not coming through for me. the god who is not keeping me . 172 0 @user terrorist = constitutional rights? this is just another excuse by republicans to appease the nra with no gun control measures. ! 173 0 @user it's all about @user #gloucesterrugby 174 0 @user very sad, @user what happened? 175 0 everyone is everything #sad #together #alone #up #down #fine #dandy #lonely #exuberant #depressed #halffull #halfempty 176 0 #mikeashley #sposdirectshame , perhapse a good example of the need to protect #workersrights from within europe. #euref #remain 177 0 angry birds stella bad princess #birds #stella #bad #princess birdsstellabadprincess. time post: wed� 178 0 check @user incredibly to have made great memories with great people , we did an ... 179 0 saw a t shi last night that said "rip to when i cared" #really 180 0 @user hilarious, @user i'm already blocked by @user for asking one, not paicularly difficult, question. @user 181 0 devastating news. my hea goes out to the victims and their families. #orlando #heabreaking 182 0 "happiness is not a state to arrive at, but a manner of traveling." margaret lee #runbeck #happiness #quotes #inspirational 183 0 safe ways to heal your #acne!! #altwaystoheal #healthy #healing!! 184 0 what i am creating right now. #beats #makingbeats #thursday #work #istandard #akaipro� 185 0 wedding number 10! ������� #wedding #weddingpay #love #forever #weddingdress� 186 0 we're looking forward to attending the cipd ireland conference &amp; workshop #cpd #onemoreday @user @user 187 0 finally reached 200 followers on #twitch. follower hypu #stream tomorrow! � 188 0 words r free, it's how u use em that can cost you! #verbal #abuse #hu #love #adult #teen @user 189 0 after what our country went through this last year to see people bring a "bomb" to the stadium &amp; come here for everything but football 190 0 i am thankful for cats. #thankful #positive 191 0 time to eat with my bae swalscha ��� #dejeuner #lunch #happiness #love #amoureux� 192 0 ilovethesecret #lawofattraction #quiz #love #happiness #motivation #success #joy #life� 193 1 you might be a libtard if... #libtard #sjw #liberal #politics 194 0 it's about to go down... #pole #bgp #rozthediva #blackgirlspole #bodyandpole #live #love � 195 0 #argentina2015 attack bull game 3d: do you really think that his head was empty around the city. each side 196 0 what a self-serving hypocrite! always keep your eye on the bouncing ball with this nimrod president. 197 0 #nohcarolina bull up: you will dominate your bull and you will direct it whatever you want it to do. whe 198 0 #building polar bear climb racing: angry polar bear climb racing, the polar bear living in cold places loo 199 0 @user @user if they want reelection money. #ksleg 200 0 my hea is with #orlando right now. i truly cannot imagine. could have easily happened anywhere. :( 201 0 alreemgroup #aly_alshahawy #ad #cute #summer #photographerdubai #sun #hair #mydubai� 202 0 it seems like the only place with action here is montreal :( 203 0 @user that, and you are old and washed up! 204 0 i am spirited. #i_am #positive #affirmation 205 0 i am thankful for enteainment. #thankful #positive 206 0 @user @user @user this shows truly how bad brisbane are 207 0 @user can't wait for #wimbledon2016 208 0 happy man!!! #success #model #entrepreneur #speaker #ff #fresh #confident #fashion� 209 0 #gala moments ... #day #kid #bipolar #frikiegirl2016 @ the lucky chinatown mall, binondo,� 210 0 this really takes the piss. i'm so angry. just goes to show who is valued and who isn't. you complete and utter moron. 211 1 @user take out the #trash america... - i voted against #hate - i voted against - i voted against - i vot� 212 0 fathers day to all the #amazing #dads out there that give up so much for their families! #enjoy your... 213 0 does #magnettherapy really work? #altwaystoheal #healing #healthy !! 214 0 sebbo has said it all! @user 215 0 ����� eg���� smile!!!!!����� � #smile#egsmile #torio 216 0 @user brilliant service at your kettering branch today customer 217 0 @user will be here for a screening. i will miss it. so i will sing all the songs from potp and shock treatment, because i can. 218 0 on the way toraya #bus #alamindah #white #music #carrieunderwood 219 0 #model i love u take with u all the time in ur�!!! ������� 220 0 good day - 6 new beers at bridpo food &amp; beer fest. back at the campsite drunk the @user starstruck &amp; moved on to @user #5. 221 0 g o a l s � repost from @user #propey #ocean #summer #life #family @ sydney� 222 0 i want to teach you love like you've never felt it before. #quote #quotes #love #pakistan #allin216 #girls #boys #fashion #feelings 223 0 i am thankful for now. #thankful #positive 224 0 omg just 100 days left!! #countdown #nolefam @user can't wait for him to come to milan! #22092016 �� 225 0 @user stone roses done. now time for @user in a d club. days 226 0 "there's a reason why two people stay together, they give each other something nobody else can." hopelly greats day 227 0 you never know who might have a crush on you! #wakow #buzz #moment #ride #love #crush #dating #hookup #app 228 0 my friend just got engaged �������� 229 0 298 days lef b4 end of classez yay #risay18 #risaypls 230 0 #thursday � may we watch how we say what needs to be be said� 231 0 i am legendary. #i_am #positive #affirmation 232 0 to the united states of america, from the rest of the world: i think you've proven you don't have the right to own firearms. 233 1 if you hold open a door for a woman because she's a woman and not because it's a nice thing to do, that's . don't even try to deny it 234 0 when your having a good weekend and it shows :) #thankful #blessed // #jeffreycwilliams �� 235 0 when you have a good hea and help everyone you always seem to be the one who gets hu #buttrue 236 0 the happiest baby ive ever known� #cute #smiles #babygirl #beautiful #niece #blessed #xo 237 0 are you ready for #t.b.c ? #oneteamlincoln are... � @user @user @user @user 238 0 can't wait for carowinds! ready to see @user and @user time to #rockthepark #timetogetmyjesuson 239 0 already bought my finding dory ticket 240 0 for every minute you are you lose sixty seconds of #happiness - and you should do the same � 241 0 #sanjapan #animeconvention see you guys in september! 242 0 question of the day: excited for moto�s� #tech #announcements #moto_s #question 243 0 make today count! #mondaymotivation #livelifetothefullest #healthy #everydaycounts 244 0 happy morning 8degree with anna #classmate #friends @ 92� 245 0 @user would u be able to suppo our event #brentwood #homesta they lost funding and may have to close 246 0 we are happy little peoples � happyhappy people #kitten #cat #blackkitten� 247 0 @user @user @user thank you very much for this oppounity will cherish it forever ��� ����� 248 0 � themeowood: puppy 249 0 few more days till who is ? � 250 0 "happy" by pharrell williams #pharrellwilliams lyrics � 251 0 @user happy at w.ork conference: right mindset leads to culture-of-development organizations #work� 252 0 we lost another member of our family yesterday:-( #gutted #rosie 253 0 yayyy.... trailer 2morrow #fever super @user @user @user 254 0 watch fancy tails's vine "mad #mad #teeth #bite #pissed #dog #biting #dogbite #dogtreat 255 0 #dreamcatcher bull up: you will dominate your bull and you will direct it whatever you want it to do. when 256 0 i'm so ready for tomorrow ������#englishteacher #teacher #ecuador 257 0 in memory of my wonderful dad, always missed, eternally loved. #strong #greatquotes� 258 0 @user @user on dallas shooting "the video you're about to see is disturbing, so viewer discretion" then they play it in a loop ove� 259 0 #itako#alone#it's fine. a little. 260 0 sunshine &amp; stickers kind of saturday �� #letthembelittle #childhoodunplugged 261 0 had a wonderful day today �� #calm #sunny #chubbygirl #glasses #finnishgirl #finn 262 0 buka bersama tma family... #yuhuuuuu #tma� (w/ risha, meylucky, &amp; 3 others at mayfair townhouse) [pic] � 263 0 he loves you more than you know.�� #nationalbestfriendsday #true 264 1 @user this man ran for governor of ny, the state with the biggest african-american population #� 265 1 #stereotyping #prejudice offer no #hope or solutions but create the same old repetitive #hate #conflict� 266 0 who can get the pussy quicker these days � 267 0 i'll probably be 30 by the time @user comes back home #ugh 268 0 #model i love u take with u all the time in ur�!!! ������� 269 0 @user anyone playing voez? kinda in love with this game ��� #game #gaming #girlgamer #voez 270 1 how many#pols passed by how many times and said nothing? #bluelivesmatter #draintheswamp #ferguson 271 0 sequoia is about the #weekend! 272 0 some bitches care more about their eyebrows then how much $$$ they makin at the end of the week 273 0 bham is pride paradeready#beyou# #ofbham @user @user @user 274 0 #fathersday to all the guys who play dad out there we #love you � 275 0 #���0616��快� bihday to my bogummy!!!love you forever!hope you happy everyday!good night!�@user 276 0 wishing all our clients had baby goats to cuddle! 277 0 #positivevibes #fresh love you guys. get some!!! @ concord mills mall 278 0 the #conjuring2 get ready to be scared! tonight it's on! #readyornot #truestory 279 0 �today is the day to make the change. eliminate negativity and choose to live a positive lifestyle instead.� 280 0 @user aaahh! nabilah looks so � arigatou jkt48! have a very happy daaay �� #iwearbanana 281 0 last day at work tomorrow for me- self employed from monday #scared #redditchbizhour 282 0 @user im half boy half man.... so im dumb too?? �� 283 0 my happy little boy! #smiles #corbinrayp 284 0 never been more appropriate: i have zero idea of what i'm feeling right now #scared #missyou #whatwasthat 285 0 @user have a magnificent monday! #mondaymorning #mondaymotivation #monday #indraloka 286 0 i just dont understand y these designers print animals on fabric, just bought @user muzlin 5b #sanasafinaz #noexchangepolicy 287 0 maybe 4 happy hour you can get a " #ending" ��󾭻 288 0 #littlebear and her friend #joy #toddlerfriends #puresweetness #latergram #toddlerfun 289 0 if you have never lost a loved one to senseless violence you don't get a fucking opinion on the 2nd amendment 290 0 where is the world heading? you could lose your life just for leaving your home. #orlando 291 0 i heard him say that, he was trying to lock the shooter in, but kept other patrons from getting out! 292 0 good mood flight with @user off to munich for @user interviews! #pharrell 293 0 first presentation by @user in the netherlands by @user 294 0 u made us proud i hv been reading ur words &amp; assured it will b a assoment of petite emotions wish u the best. 295 0 happiness vs joy. happiness is temporary and leaves u hu. joy last forever and never leaves. #real #tru 296 0 twinklatinboys - na: #slut #snapshot #hot #nasty #naughty #sexy #horny #shy #porn #nude #kinky #xxx #y... 297 0 @user it is not people who are thankful. it is thankful people who are happy. #thankfulthursday 298 0 i am creative. #i_am #positive #affirmation 299 0 i have held back tears. i have cried happy tears &amp; finally we leave a week tomorrow!!! @user @user #canadianravers 300 0 bihday pressie from my mummy and my granny #michaelkors #luckygirl #bihday #liverpool 301 0 @user stuck in athens instead of santorini because @user said it was to windy to land! shocking service on every level since!� 302 0 @user these happy folks had the very first #freakshake at the launch. #freaks #yum #dalston @user 303 0 what a "huge" crowd for trump. 304 0 i am thankful for saturdays. #thankful #positive 305 0 good god, why?! � 306 0 @user enjoying these delicious melons! #vegan #organic #fresh #fruit #organic #healthy #healthyliving #life 307 0 first months, then weeks, now it's only days till the beginning of the end of @user i am both and #sad at the same time.�� 308 0 it's a firework!! weeheeeee~ ������������ � 309 0 #blackpool attack bull game 3d: do you really think that his head was empty around the city. each side is 310 0 #fathersday to all our the amazing fathers out there today. 311 0 i just want to be . is that too much to ask for? � 312 0 @user ready and waiting! #newblood16 313 0 i'm sad. my aunt passed away. she was 96. #funeral 314 1 7 horribly ads from #2016 that made us cringe 315 0 wouldn't mind robson-kanu at s6. decent player. available on a free transfer too 316 0 @user come on @user ...you can do better than this. please put yourself in @user 's shoes. unnecessary stress h� 317 0 stalk me. watch me. i'm just a peon. poor. disabled. kill me.this #usa is not the usa i used 2b proud of &amp; the universe doesn't care. . 318 0 #stephcurry's outburst begs the question: can christians get ? #nbafinals 319 0 i'm so and #grateful now that - #affirmations 320 0 8 more weeks to go then im san antonio bound to see @user i cant wait to see my little brother! #missyou #mybrotherskeeper 321 0 listen up &gt;&gt;&gt;&gt;&gt;&gt;&gt; 322 1 @user "the dying of the light" village green/town² #antisemitism #hocoschools #columbiamd #hocomd 323 0 hahaha.. this is me last #friday &amp; #weird 324 0 hey, i noticed that u are a training lover, so i ask u to check my free app, it's known as "my training" on apple 325 0 sexy as fuck #directioner #niall #nialhoranfacts #niallerwins #hot #justindrewbieber #justindb #believetou... 326 0 @user #father'sday! say "i love you" to your dad right now! #sanya #whererefreshingbegins 327 0 guess who back, back again! #lifeaftersurgery ��#dog #dogslife #labrador #labradorretriever #lifeofsam 328 0 hey superspoilt, you may want to check for latest updates on #glastofest �_ 329 0 @user @user @user @user @user bihday sid... god bless you.. hav a successful career 330 0 nba finals = ambivalent , love steph and thompson, kyrie stinking it up, green is an class a doosh, lebron won't talk to guillermo 331 0 check out my production team's web-series episode that was edited by yours truly. #mep #webseries 332 0 #model i love u take with u all the time in ur�!!! ������� 333 1 @user you never answered me about your statement on the #nazi's over #hatred, &amp; #bigotry being found w� 334 0 #juneteenth #independenceday #food4thought #rich #ancestral #heritage @ independence hall 335 0 #river gorilla simulator: you need to do to adapt to the environment. the need to tear the city. material 336 0 watching the @user leadership embrace &amp; kiss donald's ass is #pathetic &amp; . this is now the @user pay. a pay of racism &amp; hate. #ripgop 337 0 i love how i am so mature for my age� �� 338 0 aww yeah it's all good bing bong bing bong 339 0 @user it's such a good feeling when this happens. #smile #instalike #instamood #instapic 340 0 check it #graffiti #dublin #ireland #music #vimeo #movie #video #europe #people #flow #fun #rafalwojcicki 341 0 #oitnbseason4 in 2 days!!! aaahhhhh 342 0 @user it's @user #iampossible today! #extraordinaryladyspeaks #starawards @user @user ht� 343 0 sun is out! happy thursday! �������� #breakfast in the #sun #day #sunnyday #sun #blue� 344 0 packing sneak-peek! to be working with the #yellowjackets of the #neshl for 2016! @user #bhl #hockey 345 0 tony sunday! #tonyawards 346 0 happy father's day 2016 to my dad and all of the dad's out there!! #fathers#day #2016 347 0 @user theverdict is in; i'm an idiot #country #rock #bluegrass #beatles #love #pop #romance 348 0 � #projects of the week, june 13, 2016 #blog #silver #gold #forex 349 0 @user #300dayshappy @user #dayseventyseven #day77 #happiness #love#lifequotes #life� 350 0 my little brother has a higher tolerance of alcohol than me! lol 351 0 wishing this guy a #bihday !! blaze says @user is the spitting image of a� 352 0 i am thankful for hiking trails. #thankful #positive 353 0 all pay meeting to tackle a movie which uncovers a problem we don't want the world to know. 354 0 @user chill relaxing piano music to keep your pet #quiet and during #july4th #fireworks � 355 1 you might be a libtard if... #libtard #sjw #liberal #politics 356 0 @user nothing says 'merica, like that @user tweet. 357 0 always be #paratyphoid 358 0 @user "today i lost a #thevoice sister senselessly - we sing for love not death people." #stopthehate #ripchristina 359 0 some guys too concerned about their twitter "brand" to be honest with their followers. 360 0 i hate like 90% of my family.... i was really born into a big ass toxic bomb! mother fuckers don't give a fuck about me cuz i got money 361 0 get #up get get #enjoy #music #today #free #apps #free #music 362 0 best #lawofattraction #resources for #healing! #altwaystoheal #healthy is ! #idwp ! 363 1 trump ny co-chair makes racist remarks about michelle obama #p2 #p21 #fyi #tcot 364 0 are you a @user fan? this should make you 365 0 #music as #therapy as a tool for #healing! #altwaystoheal #healthy is !! 366 0 how can food make a family fight mxm 367 0 delicious sangria#salud#cheers #smile @ the pub pembroke 368 0 have a fabulous weekend beautiful souls #nofilter � 369 0 when i'm feeling #overwhelmed and i look down and see a million reasons to be #happy again. i love you craig!! 370 0 back to the day job for shane lowry! 371 0 hour right now! 2-4-1 bottles &amp; drinks from 4-7pm @user 42 w. chippewa st. #buffalo 372 0 anas + nimra + farishta + mawia + khushal 960 + 952 + 503 + 484 + 435 = 3334 the number of marks obtained is too damn high :p 373 0 my monday is so empty without the bachelorette ��� #thebachelorette #empty #nowine 374 0 suppoing family, god, chivalry, tradition, and pride in one's heritage is now controversial. 375 1 @user the pic says otherwise for young girls confined in that kitchen. you are void of meaning, beyond cheap publicity #topoli 376 0 #good night! ?? #faith ever #vaitacacommafiasdv 377 0 do what you love to do simply for the love of it. #love #success #work #business� 378 0 lunchtime with mom. #torrington #lunch #afterschool #instadaily #yummy #withmom @user 379 0 @user my sister ain't even know i was watching her argue with the nigga ��� was waiting for him too say the wrong shit 380 0 ride out, ride back ...done! #cycling #sunset #ride #bikes #fitness #cardio #dese� 381 0 well i was gonna go see adtr with bae... 382 0 @user #tagsforlikes #me #food#friends#summer#swag#quotes #love#god#girl #weekend #polaroid #followme #teen #win#job 383 0 #payintheusa polar bear climb racing: angry polar bear climb racing, the polar bear living in cold place 384 0 11:11 healthy fam 385 0 dream palace, can we move in already? #stellar #girls #dreamy #goodmorning days� 386 0 im waiting for a follow since the x factor 387 0 @user but it's your fault you have to use it to pointscore. 388 0 @user this week staed off kinda lame but it's getting better! #yay #wednesdaywisdom 389 0 @user #forever @user young man he luks too hot wen he is in temper i'll b alwys ur fan till my lst breath� h� 390 0 don't worry #bee 391 0 double tap and follow me #beautiful #smooth #lifestyle #skin #instasize #f4f #fashion � 392 0 #lawofattraction for #healing #loa be #healthy #well #idwp ! 393 0 � #oil turns flat to $50.40, eyeing eia inventory data for fuher direction #blog #silver #gold #forex 394 0 training in new employee's is fun. #newblood 395 0 #first #bihday to our #puppy #eloise #sweetbabins #dog #growingup #cute #bihdaygirl @user 396 0 @user - 5,000 pigs burn alive in saskatchewan barn fire (video) 397 0 @user you'll never convince me that americans have the right to bear these. #prayfororlando #guncontrol 398 0 with my beautiful ladies!!! is a blessing to know them !!��. #smile #lovethem� 399 0 today baba siddique ifftar pay at mumbai. @user &amp; @user dono ayenge. to see both again 400 0 hands | #ombre #blue 401 0 @user i can't wait to go see warcraft, ugh ��� #warcraft 402 0 cousins reunited... #family#fun@user wellness 403 0 at @user for 'an audience with duane henry ' ....should be very insightful 404 0 my train hasn't moved so i'm binge tweeting 405 0 have my lover stop being angry at me visit us..&gt;&gt;&gt; #lover #friend #astrologer #love 406 1 @user when you're blocked by a troll because you promise to #blacklivesmatter &amp; let his nonsensical rants boos� 407 0 father's day to all the dads here and the one's that are in heaven 408 0 #sdl326am @user june 16 @user 409 0 how creepy awesome are these baboons climbing the fire escape like humans on @user #summev #zoo 410 0 use the power of your mind to #heal your body! #altwaystoheal #healthy is !! 411 0 dude i'm a tiger! #roar #tiger #annaswelshzoo #bihdaycelebrations 412 0 @user we don't #laugh because we're happy... we're because we laugh. - william james. #xtra 413 0 have a happy sunday everyone! i think today is going to be a good day :) #positivevibes #sunshine #sunday 414 0 can we talk about the ways in which organizations dehumanize us? and how they're never held accountable? 415 0 stuck in the rat race? find your freedom. #masterkeyexperience 416 0 i have to study... #face #pizza (i stole my roommate's idea for taking this pic) 417 0 dinner with sister!! ����� #sisteradventures #sister #ilovemysister� 418 0 who else is planning on watching @user tomorrow? � � 419 0 #usn rifle day 'snowed out', so ar-15 is closest to m-16 i ever got. @user @user @user #navy 420 0 euro 2016: bbc pundits make their predictions for france #euros sta today - 421 0 @user because i am happy! �� #happiness #minions 422 0 no elder scrolls for many years?!! wah wah #bethesda #e3 #e32016 423 0 @user poor #tiggy � and a little bit cheeky #jax &amp; � #soa #throwbackthursday @user @user @user 424 0 cannot wait for #eurogamer this year! #pumped #eurogamer2016 425 0 very to work with russell.beckwith soon #staytuned �: my friend lyle!! #tapfoags ..� 426 1 why the nazis studied american race laws for inspiration � #ushistory #eugenics 427 0 sharing ice cream #sun #love #outdoors #picnic #summer #family #daughter #father #desse #icecream 428 0 nothing like a river island sale shopping spree to cheer you up #retailtherapy #riverisland #shoppingqueen #alwayscheersyouup �� 429 0 cleaning ze house and zoing ziy laundry. � i'm finally free from fever and colds. �__�i'm happy! #cleaning #laundryday 430 0 2 new listings are up! #ebay #woohoo #sell #selling #buy #shop #shopping 431 0 i am thankful for my challenges. #thankful #positive 432 0 chilled night in with ice cream&amp; grown up2! #chilled 433 1 @user #biherism absolutely originated in hateful #bigotry #altright hatred of our african american #potus #theresistance 434 0 @user * sweets ������!!!!!! * #instagood #��� #�� #idola #idol #�อ�อล #followme #selfie #����� 435 0 all these tragedies in america first with the killing of #christinagrimmie and now #orlando #america is not a safe place to be today! 436 0 � #brexit angst a factor helping drive down interest rates in germany and japan - bbh #blog #silver #gold #� 437 0 fab &amp; interesting day at #eacbpm. now dash to a quiet place to dial into iiba emea region meeting #busy :) 438 0 kayak, sup, snorkel, swim...whatever your pleasure, we'll put it together! #alohabeachbus #hawaii #explore 439 0 u can hold a man down for years ...and watch him change on u over some hear say.. no loyalty.. no... 440 0 we'll back going to tacloban now! see ya later!�� #great � traveling to tacloban city from catbalogan 441 0 @user how do you feel about that? you haven't won any olympics medal 442 0 angry birds il film download ita � 720p hdtc (2016) #birds #download #film #il #ita 443 0 #sunday to you all � #photo by @user #model #urbex #topless #tits #mono #retweet # #sexy #heels #ace 444 1 fo woh officer in viral arrest video was �rude not racist�: chief #crime #officer� 445 0 @user @user @user @user saturday friends 446 0 yayyyy my friend got married today ����� congratulations guys. ���� #shegotmarried � 447 0 #model i love u take with u all the time in ur�!!! ������� 448 0 if lewis remains perfect, the rangers announcers are gonna stroke out. 449 0 chris is so to be back to #soccer after missing most of #spring #season with a broken� 450 0 train tickets booked for my opera week in wales 451 0 it's a beautiful day..... #sun #fun #beachpark @ beach park 452 0 the big screen is being fitted right now #euros2016 453 0 not all love stories are happy ending. #anime #love #story #not #ending #like4like� 454 0 #poet bull up: you will dominate your bull and you will direct it whatever you want it to do. when you sta 455 0 i am tranquil. #i_am #positive #affirmation 456 0 @user is that the name of any upcoming new track? �� #2pm #kpop 457 0 best #essentialoils for #anxiety !! #healthy #peace !! #altwaystoheal !! 458 0 @user @user @user wow some people's children have nothing better to do then insult people on twitter . . 459 0 thinking maybe i should have bought @user instead of @user #gettingold #becomingboring #notborderlands #goblizzard 460 0 the fact that @user album is an hour away from dripping has me losing my mind.. #fatkidinacandystore 461 0 ryderrideu - see you c2c and cum together: #snapshot #young #shy #kinky #wet #porn #hot #xxx #horny #s... 462 0 ����� snapchat: gaby_china20 #love #girl #snapchat #flowers #instasmile #instalove� 463 0 i am brilliant. #i_am #positive #affirmation 464 0 @user true :/ niggas dont go looking for apaments they go look at shoes and jewelry 465 0 safe ways to heal your #acne!! #altwaystoheal #healthy #healing!! 466 0 #msgapparelstoday @user u r so special 4 us father day 467 0 camping next weekend. #lovecamping #brownwood 468 0 i'm so and #grateful now that - #affirmations 469 0 my #forever bestie � #karaoke #friends #friendship #love #nofilter #instacool #instagood � 470 0 @user absolutely love this place. fantastic welcome from carlos, receptionist. 5th time here. room request granted as usual. #318 471 0 headed to #thealter with my peculiar family! 472 0 � #us retail sales control group likely rose 0.2% m/m in may � danske bank #blog #silver #gold #forex 473 0 happy fathers day. you are love of my life &amp;the best father in the world. ��� @user #fathersday #love 474 0 coolestlifehack: worlds smallest snake #motivation 475 0 this is a shockingly and increasingly #violent #world we live in and the #uk has gun control laws. i feel for the mp's family &amp; friends 476 0 ? #funny ? or simply so #truestory :) 477 0 happy bihday to me!... brithday day holidays #monday #menmodels� 478 0 i am saddened that no-one has thought to groom her for the position before asking her opinion on such an issue. 479 0 ukrainians athletes are not in grosseto for @user ... watching livestream without seeing them it's not the same... 480 0 new season of oitnb stas tonight �� #oitnbseason4 �� 481 0 @user excited to be on the other side of the cuain for once tonight. looking forward to seeing @user on broadway� 482 0 when quay collab with @user says sold out!!!������������� #noooo #whyyyy #loveyoudesi # 483 0 i'm to finally get my #jordans and i get #paid to #wear them too! #lowtops� 484 0 i am impressive. #i_am #positive #affirmation 485 0 father's day to all the fathers out there out there making it happen ...... #salute to y'all .. 486 0 our view from the 27th floor! :) #nyc #newyorkcity #myview girl #wine #fridaynight� 487 1 discussing republicans is the same thing as critiquing . we can't ignore the consequences. 488 0 got school tomorrow my last integration 489 0 amen!! truth. always. &lt;3 &lt;3 #love #blessed 490 0 @user and the stamford kid got 6 months for rape.but that wasn't boredom...it was 20 minutes of action. . 491 0 lets colorized your life w/ rainbow #danian #love #colour #rainbow @ depok 492 0 #aiel #aielmaharashtra rude customer care executive makes me want to switch my loyalty to another provider. #irritated 493 0 hi teddy corpuz... #rocksteddy #band #enjoy #idol #omg ������� 494 0 @user wow, what a great daughter you are! to send that to your father right before father's day. #cheapshot #lowblow #shame 495 0 6 reasons to be happy�when your kid is mid-tantrum #parenting #tantrum #toddler #calm #mindfulness #strong 496 0 i am truthful. #i_am #positive #affirmation 497 0 yup #siri on #macos #wwdc2016 - :) woot! next did they work on her listening skills? 498 0 #diy done! #dresser #nicknacks #newelectricscrewdriver @ brockely london 499 1 are you #black &amp; feel like the are stomping on you? � #retweet #tampa #miami� 500 0 @user @user thats the problem, only one police officer. you need more, with bigger guns and perhaps one tank with soldiers� 501 0 father's day to all friends# 502 0 if you're not with your #choices this fall, you can #always write a candidate in.. � 503 0 @user #���_그길��_��리� #그길�� #��� ending 504 0 get to know the team behind the #app that's keeping our tummies in our #june #issue @user #bazaarmag� 505 0 actually going fishing today somewhere nice ���. 506 0 how cute, they both look like dolls. 507 0 @user i did and im 508 0 love this vacation � #enjoy #greece #crete #sabinedrift #chillinn #blondegirl #bluedress� 509 0 @user unreal 3 advisors refuse to take my payment!?? and say wait for pcn is this customer service when ur site wasnt working?? 510 0 @user i'm #gameready for forza horizon on the pc! what a time we live in... 511 0 @user life better in tahiti #summer #life #no_school #tahiti #like 512 0 i know their males but i thought they had a vagina like in video games xd #stupidthoughts #quote #lmao 513 0 pa of the pack was taken and brainwashed by cheetahs #downasquadmember #treeouts 514 0 � #japan domestic corporate goods price index (yoy) in line with expectations (-4.2%) in may #blog #silver � 515 0 remember the day when people on #bbuk went on to become reality tv stars, no it seems reality tv stars become big brother contestants. 516 1 @user #allahsoil the more familiar we become the more difficult it is to stereotype. . � �� 517 0 @user #good #morning ! if you want to live a life, tie it to a goal, not to people or things. 518 0 @user friday &lt;3 #fridayfeeling #relax @user #bristol 519 0 days porn movie pussy pay pics 520 0 it looked easy till my turn #rap #hiphop #rock #funny #comedy #pop #kanyewest 521 0 banner #merry #christmas and #new #year #freepik #ad #decoration newyear 522 0 @user @user yay! thanks for letting me know. my pa will be a very happy man! :-) 523 0 in my exam room ��� #testing #tired #annoyed #why 524 0 best homeopathic remedies for #anxiety - #altwaystoheal #healing #peace !! 525 0 rest in peace christina. 526 0 those bamas you fool around with might be raising your child. ppl dont think that far in advance. they just see "fun" or whatever 527 1 anti racist is a codeword for antiwhite asia for the asians africa for the africans white countries for everyon� 528 0 .@user on #periscope: my first god baby graduated from high school!!! #collegebound 529 0 nearly there folks #nervous #curious just finalised my stuff with a few pointers from grainne #bringiton 530 0 fellowship. � #lifegroup 531 0 i just caught myself eating chocolate sliced bread beside the ref realizing i still didn't eat my dinner. 532 1 @user you #praised #cleveland police during #rnc the police are under a consent decree! 75% are #white #tamirrice #rip 533 0 best #lawofattraction #resources for #healing! #altwaystoheal #healthy is ! #idwp ! 534 0 everything you need for #surfday. #fathersday to all the #dads out there from #novyspos.#novytowel#surfgear 535 0 @user 100% agree 536 0 @user our next show is monday at the fiddler's elbow in camden. it's looking like it's going to be a huge night! ht� 537 0 @user no swimming signs everywhere. parent's weren't watching a 2 year old. 538 0 mitchellrattle mitchell goodson 539 0 @user getting ready for saturday's jeep run with nbjc! 3 days until #showyourjeepday #jeepmafia #jeeplife #jeep htt� 540 0 @user attempt at czech fury, only for croatia to score their second. 541 0 the latest dairy k.s! thanks to @user @user @user #���� 542 0 @user yep - grateful for everyday :)))) #gratitude #laurasworld 543 0 i've had the ebook for awhile but it's so nice to have the hard copy!!! 544 0 nba finals. game 7. what more could a basketball fan ask for?! #nbafinals 545 1 @user that doesn't prevent you from being a and a #bigot 546 0 dear #uot, despite our attempts to #savecharity, i regret to announce that we've lost her! #tragic #rip angelic friend. we will miss u! 547 0 #space place color #blue #fabricsourcing or #finished #pillow #cushions use us� 548 0 perfect moment of the day!!! 549 0 waited for @user for an hour to come out just for an autograph, finally walk away...he comes out. of course! disappointing! 550 0 #fathersday! gift your #dad a secured #financial #future! #save #insure #invest! 551 1 girls in the world sexy mature housewife 552 0 time to get happy! it's saturday � #saturday #weekend 553 0 to my 3 awesome dads.. my almighty father (my lord) my darling dad (rip, sweethea) my husband (my babies daddy/1st son) #fathersday 554 0 owens football tornament #football 555 0 come on #ee piss poor reception today £20 a month and struggle to get a signal in #buxton put more masts up or i'm switching #grumpy 556 0 excited na me �� 557 0 @user let #troopingthecolour begin, we are very . bihdayyourmajesty #thequeenat90 ht� 558 0 #work #fusiona wolves in last stage #development #chase @user @user now 559 1 @user i don't like the #blacklivesmatter slogan. talk about being . 560 0 r.i.p little bear bear... #hamster #rip #imissyou 561 0 give me a hug #love my cats moment � 562 0 your lips like fire, my blood like gasoline �� #love #boyfriend #smile 563 0 here. we. go. let's do this people! #icrs2016 564 0 life isn't a race: allow yourself to be in the present @user #fun 565 0 dental testimonials from our #lichfield clients - 566 0 thank you�soo much� pretty @user i feel soo blessed &amp; lucky!!plz do keep showering ur lyks on me�#surprised #2likes #unexpected 567 0 @user @user @user nice 2c susanna smiling 2day,who needs false promises of flying dragons when she's got ben 568 0 @user 1d not back yet 569 0 i got the call yesterday. mom was diagnosed with stage 3 ovarian cancer. i'm terrified, she's terrified. just don't know what to do. 570 1 @user #feminismiscancer #feminismisterrorism #feminismmuktbharat why #malevote is ignored @user 571 0 @user @user @user is on the other side of history and our allies on this issue. #embarrassing 572 1 fox new just coming out and saying it bluntly. one of the most things i've read. 573 0 good morning all ! #internationaldayofyoga2016 #yogalove #yoga #relax #healthy #positive� 574 0 @user monkeys are also declared as vermin. no protest from bajrang dal? @user @user 575 0 @user new plants from @user are here and ready for the garden at gardening know how! 576 0 @user coldplay last night with my fave ���� #coldplay #conce #hampden #fave #couple #cute � 577 0 use the power of your mind to #heal your body!! - #altwaystoheal #healthy #peace! 578 0 #flagday! here's mine in this gorgeous #texas sky! #householdname #takingover� 579 0 aww yeah it's all good bing bong bing bong 580 1 @user yes lets do this,suppoing a openly ,#prowar #anti #islamic,#homophobic,#rapist,who advocates more of same,#hypocrite 581 0 , #cat, #furry, #persiancat | #4798 | pixion - wallpapers, images, a 582 0 good moooooorning #tgif � #kiss #kisses #friday #fridayfun 583 0 @user enjoy everything already given to you rather than always needing more. #blessed #thankful 584 0 #euro2016 match schedule design - france vs romania ! � all feedback is appreciated! 585 0 for fathers day too should take your dad to @user for the 2 for $20 he will love it 586 0 berlin before and after. thank you so much @user - that was incredible. #theriveourberlin #theboss 587 0 why listen incubus never hus! �� #nowplaying #sick #little #world - nissan #live #set de @user � 588 0 @user anderson cooper &amp; don lemon will not like gays being thrown off buildings by sharia. #2ndamendment 589 0 bei is on a field for dog-walking. #dogs 590 0 who would steal awork from @user #boohiss 591 0 competing for a listing today! #whenrealtorscompeteyouwin #callme #gotheextramile� 592 0 @user great park but a totally disorganised one!!! #poaventura #whatajoke 593 0 i've got news for you, bernie wasn't winning dc even if the vote was held last month. #dcvotes 594 0 � #eur/usd printing new monthly tops above 1.1400, draghi eyed #blog #silver #gold #forex 595 0 our two presidential candidates, everybody. this is what we've devolved into. #elections2016 #america #smh #usa 596 0 poor pup. #animals #puppy #vine #magic #subscribe #youtube (vine by @user 597 0 rare pic of superstar @user with @user bihday sivakoratala :) 598 0 @user and @user how is it 2016 and i am moving just outside of downtown gr mi and neither of you offer better than 6 mbps. 599 0 @user wishing all the dad�s a happy father�s day! #dads #fathersday #2016 #intellicred 600 0 met this girl 5 yrs ago online b-ng gay friend. y does she look like this when she didn't b4? @user 601 0 that face says it all! #pwcproud 602 0 | b u s y | #love #instagood @user #tbt #cute #me #beautiful #followme � 603 0 enjoy this weekend with your family at your home. happy weekend my dear friends :) #weekend #family #home... 604 0 another senseless tragedy. #tragic #pulse #orlandostaystrong #thoughtsandprayers� 605 0 @user loving #yrkkh frm the bottom of my hea frm the day it stared.. &amp; what do v get in return.. #uglyspat @user @user 606 0 captain felix at rutland water. the little boat behind is about to go on a very grand adventure.... 607 0 binge watching series 1 of #thekilling so as to completely avoid football. 608 0 to quote jeremy corbyn: "here we, here we, here we fucking go!" 609 0 happy� #travel#time #instamood #moments #love#mylife #russian#girl #model #4like� 610 1 porn vids wwwsmallgirlsexcom 611 0 @user #tuesday #jackie #quote #taketime to do what makes your #soul #enjoylife #smile #believe #dream #havefun 612 0 home sweet home is what i call #edinburgh since moving there years ago! #scotland #homesweethome #family 613 0 play england vs russia in marseille at 21:00??? what did they expect? high risk game and plenty of time to drink... 614 0 aww yeah it's all good bing bong bing bong 615 0 i am thankful for sweater weather. #thankful #positive 616 0 haunting atmospherics #studiotime 617 0 @user @user become a fan does not give the right to criticize the personal life of an idol. 618 1 the latest obsidian radio daily! thanks to @user @user @user #latesnews 619 0 mind-blown; learning so much in this google forms workshop. @user #cfisdrrr 620 0 @user so sexy #prettypussy #sexybbw #realmvp 621 0 @user back to @user after a v traumatic few months. damage not as bad as thought, proof the plan works! onwards &amp; upwards � #excit� 622 1 you might be a libtard if... #libtard #sjw #liberal #politics 623 1 just more overwhelming evidence that the company #trump keeps echoes his sentiments &amp; ideals #dumptrump 624 0 @user most of y'all females beefed out over these community dick ass niggas , �� 625 0 people be like you already forgot so and so.... nah it's not that it's just new names are made a hashtag on a weekly basis 626 0 how to be ?!.i have the answer �� 627 0 cherry color is symbol of warm and positive energy necklace price: 200 aed #stones #gift #amazing #beautiful 628 0 i can't wait for the 2016/17 season to begin! #lfc #ynwa #englishpremierleague 629 0 @user happy father's day to all dads except #rogergoodell! #fathersday #goodellsucks� 630 0 � #orb independent brexit poll shows leave vote ahead, gbp/usd slumps #blog #silver #gold #forex 631 0 @user @user @user 25mm + 16mm = no washout no flooding good take and all set for another days golf 632 0 @user ya ever since zayne left they've never been the same 633 0 happy father's day ���� #loveyou #fathersday #sunday #father #daddy day� 634 0 big shock on monday-needed to find new home. yeah! found my dream cottage on tuesday 635 0 save thousands $$ free search x logins x brokers #actor #seeklearning #stafresh 636 0 actually ordered a kylie lip kit 637 0 i hope the family made arrangements to make sure that #bastard @user can�t get access. 638 0 � #socialmedia us firm to build 6 nuclear reactors in india 639 0 #smaphone bull up: you will dominate your bull and you will direct it whatever you want it to do. when y 640 0 #lifeisbeautiful #loveit #workhard #trainhard no matter where you go! #blessed #fitlife� 641 0 oscar tabarez talks luis suarez�s angry reaction� #spos #during #luis #oscar 642 0 now playing on #njoyhit40 #1hitmusicstation us uk eur @user join us on #nice #nyc @user 643 0 @user only 2 weeks to go and i'm a #personaltrainer full time i will have new slots available from 30 june - pls spread t� 644 0 a mother can take care of ten children's but sometime ten children cant take care of their mother ,,, 645 0 i am thankful for good nights� sleep. #thankful #positive 646 0 now playing : the bride - " nocturne" on #melancholy #melancholymusic 647 0 #tvk3fathersday fathers day to all tatay daddy enjoy wathing tha voice kids 648 0 i am thankful for my friends. #thankful #positive 649 0 i am thankful for mason jars. #thankful #positive 650 1 "nigger?" #lifelessons of a white kid who grew up in the 60's. #blogpost #whitepeople #respect� 651 0 @user @user @user congrats! for @user 652 0 via jts88: @user � #love #sinkthepink #music #instagay #celebspot ... 653 0 @user ready for @user at #ccmf2016 !! #mychurch #frontrow #upshow 654 0 how utterly : people with incurable #stupidity in #africa albino killings in malawi spark education campaign 655 0 � #gold off highs, back around $1,260 #blog #silver #gold #forex 656 0 shocking events in orlando - now will the usa review their gun laws or do more innocents have to die first? #horrific #unforgiveable :( 657 0 i am knowledgeable. #i_am #positive #affirmation 658 0 with le sister! #instatraveling #instamoment #igdaily #instagramhub #instagood #instalike 659 0 ..feeling so #lonely..and .. 660 0 #girliguessimwithher tag is the saddest representation of how people feel they are now forced to vote for "her" 661 0 the h factor! does your #mobile app make the user ? want more factors? click to download aricent #whitepaper 662 0 @user meanwhile google violates free-speech at will 663 0 happy at work conference: right /mindset leads to culture-of-development organizations #work #mindset 664 0 @user #rochester attack bull chase: when you leave the lot despite the fact that you're a strong source of f 665 0 i'm in the @user competition!!! ��������� 666 0 #tattoosleeves gorilla simulator: you need to do to adapt to the environment. the need to tear the city. m 667 0 ima go cry for a few hours brb 668 0 i #tell my sorrow to the #river so that the river taught me how to flow without the #complain -sepatu dahlan- #philosophy #proverb 669 0 i am thankful for memories. #thankful #positive 670 0 @user you surely are a nasty piece of work! lmao. 671 0 today is a perfect day to be ! #happiness #lifecoach #reinventimpossible 672 0 after sex over 40 sex nake women 673 0 i am thankful for cocktails. #thankful #positive 674 0 dont wait #outside #thepeel 4 #work #homophobic #taxi #driver #guys #kiss there #gay #melbourne #13cabs 675 0 @user guess no one wanted to let the residents of spring street know they wouldn't be able to leave for a few hours today. 676 0 great morning deborah��.@user #smiles and #kindness � day!�� 677 0 _ #windows10 split screen #browser! #customcasetab #noedit 712 678 0 @user people use tragedy like this to fuel their hate agenda towards entire groups of people and that's the opposite of helpful� 679 0 taeyeon unnie is on fire! � btw i really hope that her album cover is not yellow lol #why 680 0 john mica...how the hell are people like you elected @user @user #totalpolitician #outoftouch #disgraceful � 681 0 nothing makes dad happier than a tasty meal! #fathersday 682 0 the #truth about #suicide rates in young #blackboys 683 0 happy sunday #homesweethome #amazing #love #istanbul #girl #beautiful #instalike #me� 684 0 oh she blocked me. at least i have love island to look forward to on sunday :) 685 0 now playing : suzanne ciani - " 4 o'clock in the morning" on music song 686 0 swing ���� #swing #mybabygirl #baby #littlegirl #park #love #cute 687 0 help! bubble attack! #winter #bathtime #cozy 688 0 i am moving. #i_am #positive #affirmation 689 0 the thing is, no matter how many laws and regulations there are with guns, people will still find a way to get their hands on them. 690 0 @user #sunflowers - #nature #garden #photograpy quality prints &amp; cards at: 691 0 @user didnt stay for long had an emergency at home my daughter was not well soo i had to rush home and i missed ur set 692 0 @user great insights on trusted professions in emea at #growth #hacking #conference at #growthwithhubspot. 693 1 carolyn cooper | ugly, poor, ignorant and black! 694 0 franklin is a #dog in the #sunshine #dogsoftwitter 695 0 perfect day= buy real furniture, hiking, @user for dinner, @user for desse!��� #sleepnumber #bonustolongrest #dnd 696 0 happy face lovely smile @user #satisfying #hair #workit #smile #face� 697 0 ��� love you. ��� . #sunday #weekend #selfie #longhair #girl #selfporait #love� 698 0 #nature_perfection bull hill climb: you have to reach the target to complete the task to survive. with str 699 0 #model i love u take with u all the time in ur�!!! ������� 700 0 orlando gay men angry they can&amp;#039;t donate blood after massacre - 701 0 @user golinglobal " golinuntern: fresh air, trail running, and a soul. keeping the #golinuntern life balance� 702 0 @user @user monroe&amp;nick best friends, &amp; rosalee&amp;addie and now kelly&amp;babymonrosale #grimm families #nadalind 703 0 @user or lying hillary would call it a "security inquiry" liberals are like minded if one eats shit then all of them eat shit. 704 0 you know what i find incredibly #disrespectful!? taking a personal call during a meeting. #frustrated � 705 0 date night #friday #pub #ilovehim #instagay #beer @ billy's on burnet 706 0 i wish @user would make their phones so the damn screens don't shatter they cost an arm and a leg and still gotta pay to fix em 707 0 this is so hea wrenching! what would be the state of the mother, when she knows her son is about to die :( 708 0 @user how times fly! less than a week to go until the brilliant @user leads our summer conference 709 0 fruit time #fruit #desse #instamoment #photooftheday #yvr #sweet #vancitybuzz� 710 0 so sad ones &gt;&gt;&gt; 711 0 sirf ashiq log follow karen #iqbal #galib #wasi #faraz #mohsin ki full poetry + #no add + follow @user 712 0 @user 28 minutes to go #armaanamaalontkss @user @user @user 713 0 thank god for the #royals of 2015 because without it kansas city is right down there with #cleveland #disgraced 714 0 will get to see my favorite person tmrrw 715 0 #latina buffalo simulation: buffalo for you to take in the vicinity of their homes to do. in this way, you 716 0 what a world we live in.. #orlando 717 0 @user now the vacation has begun... #triathlete #triathlon #coach #vacation #fearless #rul� htt� 718 0 @user a bit of heabreak too! #reflective 719 0 @user peaceful way to sta the morning before the daily chaos begins� #gratitude 720 0 hardcore girls videos birday sex xxx 721 0 #takalot book order arrives in time for a long weekend away in the bush. #bengreenfield 722 0 #saysomething bull up: you will dominate your bull and you will direct it whatever you want it to do. when 723 0 steph. san kana?? your 3's are badly needed. please ��� 724 0 @user another hands &amp; feet complete!! berachah you are the best !! &amp;tired 725 0 @user on my way over ctf to have a book talk with the inmates paicipating in the @user book club program #slugg 726 0 ready for this� #awesome #beat #cool #dj #dance #edm #house #goodmusic #madness� 727 0 � #jpy: negative external environment remains suppoive � mufg #blog #silver #gold #forex 728 0 $24.99-mkf collection jasmine and moira crossbody bags wednesday 729 0 currently out to eat at #steakandshake and i've been here for 20 minutes and not gotten the shake i ordered #not . 730 0 gray is a very sad color it makes me feel #grayneedstogo 731 0 difficult roads often lead to beautiful destinations. anon #leadership #inspiration #quote #inspirational 732 0 � #usd long positions added, eur shos increased - anz #blog #silver #gold #forex 733 0 it's #r1rockalldayer on @user for me it's @user day! #noise 734 1 @user no, he was definitely a mexican. #fakenewsale 735 0 @user when is the new album being released about @user and your break up? #loveherbreakups #hotgoss 736 1 standing up to racism and hate by americad not curse out congress and all haters who are deplorable #hate� 737 0 you are my �#sunshine, my only �#sunshine. you make me � when skies are �gray. 738 0 something i wanted to say, something that makes me happy . #gaming #gamer #xboxone #playstation @user #e32016 739 0 the football is actually the only thing on at mo that's watchable!! #bringbackgladiators! 740 0 happy hump day ��� #humpday #life #lifestyle #wednesday #midweek #snapchat #walrus #funny� 741 0 let me just say .. i love being me 742 0 don't worry, be happy via @user #archiveday #weekendblogshare #happiness #quotes #tshis 743 0 because great things never came from comfo zones... #goodtogreat #inspireme #love 744 0 happy puppy �� #london #puppy #thursdaymotivation 745 0 i don't know where you're going but do you have a room for one more troubled soul? #a #drawing #blackandwhite 746 0 we recommend these dark &amp; #romances: | #horror #moviegenres #ambiance 747 1 @user #trump used #hate, and #putin to win the white house #trump presses attack on khan family and g.o.p. leaders 748 0 one of my bucket list items ticked tonight i finally saw ice cube live tonight � ! #wildlifefestival 'today was a good day' � 749 0 my friends magical potion... #ewabeach #magicalhappydrinks @ ewa beach house 750 1 everytime i wear soccer shis joie fries me and says i look mexican as fuck � 751 0 it's been a weird few months but finally feeling more positive about life lately #pleasedontchange � 752 0 checked in #holiday #croatia #13daystogo 753 0 @user night a sweet dreams.. 754 0 nyc in seven days � #newyork #newyorkcity #travel #bigapple 755 0 life is what you make it. let�s make it ! #motivation 756 0 #fashionblog rooster simulation: i want to climb the vast expanse of mountains. it reached the leakage coc 757 0 in the best mood ever!!! #becauseofhim #inlove 758 0 be happy don't worry! � #smile #love #iminlove #iam #im #in #nice #day 759 0 @user #monaco#resto#chezedgard#grandprixf1# #essais#sun#lewissuppo#��# @user #amour #love �� 760 0 just bought: 'launch: using design thinking...by @user &amp; @user via @user - #toread #letsmake 761 0 #sukhbir #badal announces more office-bearers of #eastcoast zone #canada 762 0 so mad that i chose dj snake over zedd at edc 763 0 mango wood lett... gbp 19.99 get here: #shop #cool #home #fun 764 1 the danger of white liberalism to oveurning (applies to liberal men and feminism too) 765 0 @user @user @user truly truly pathetic in so many ways @user @user @user nothing learned from the coverin� 766 0 monday mornings working by the lake #scottieandrussell #work #love #picoftheday� 767 0 i'm loving this rain! hope it hangs around a while � #rain #water #tbt #me #weather #bribieisland 768 0 @user you have chosen the wrong horse and unless you change your mind soon, it will be the end of your political career. 769 0 @user weddings are impoant because they celebrate life and possibility. �anne hathaway #wedding #love 770 0 #icymi: shooting at orlando nightclub kills about 20, police say #debeloping #guns 771 0 @user @user snatched some of these this past week! #schoolsupplies 772 1 great aicle. right on the money! #starspangledbanner #slavery #apaheid #usa 773 0 babies was born. welcome to new world cats! #babiescat #cat #newborn #congratulations � 774 0 ��#pretending#to#be #when #you're#in#pain#is#just#an#example #of#how#strong#you#are#as#a #person�� ������� #nighty� 775 0 @user @user @user @user @user evening my dear cutys����������������������� 776 0 @user @user its all about me mentality of our culture #mentalhealth 777 0 @user wishing all of us a very #weekend �� 778 0 i am thankful for freezers. #thankful #positive 779 0 @user ready for &lt;a&gt; full day of &lt;html&gt;, from @user to @user #cssday 780 0 bihday cake i made for my mom! #bihday #mom #fondant #pumpkin #chocolate #delicious #beautiful #amazing 781 1 @user thank you!! the power of #social #media! @user #aande 782 0 @user this made me smile��� #bigbang #babies cto 783 0 sending good vibes your way! happy friday! #tgifriday #goodvibesonly #becauseimhappy #smilemore 784 0 #letsgo #agents #tooeasy 10 more days till #dlc i know i'm . #gamingforeveryone 785 0 holy city#tissues ! 786 0 @user how old is your mom bihday � 787 0 @user what did you decide? #fowoh #goldenretriever #lcck9comfodog #workingdog 788 0 @user gets him angry. a muslim assassinating 50 not so much. 789 0 �we out hereeeee ����� @user ericprydz #edc #music #musiclife #edm #dance #girls� 790 0 #funny thing about #humankind... we watch the #news, feel #bad etc then back to "open for business as usual! not #good re the #future! 791 1 @user and you keep telling that only aryans are allowed to rape women! you're just a troll! #eod @user @user 792 0 @user speechless when it comes to all the shootings recently. i guess people have nothing to lose and don't have any respect� 793 0 @user as forecasted, the beautiful waves of raalhugandu has disappeared due to construction of the bridge.&amp; theres no hope of it com� 794 1 @user any minute #trump will condemn the #vile #bigoted comments of #his #surrogate #carlpaladino #endhate� 795 0 #wishing all wonderful #dads a #father's #day..let's #rock today at red rascals� 796 1 @user #allahsoil vps got multi-million dollar bonuses while average americans lost their homes. �� 797 0 i love #abrahamhicks and #lawofattraction !! #healthy #healing #joytrain !! 798 0 #model i love u take with u all the time in ur�!!! ������� 799 0 signed up for my first bikram yoga class�� 800 0 think thoughts and they will shine from your face like sun beams. quote #smile 801 0 if you want creative workers, give them enough time to play. #success #quote 802 0 my hea prayers are with the orlando victims, their families and the lgbt community. 803 1 25 jan. interested in how #discrimination and has affected the criminal justice system? 804 0 friends forever �� #friends#sweden#reunion #grateful#love @ egna hem 805 1 keep up the opposition to @user #endthenation 806 0 ��� love pizza�� #pizzaslice#pizzaslice2#aoyama#pizza#yummy#delicias #goodtimeswithgo� 807 0 my two loves #beer #craftbeee #dog #malinoislovers #malinois #passion #friend 808 0 i am abundant. #i_am #positive #affirmation 809 0 fathersday #fatherâ��s #day, #dad #| #skinny #and #single buy things about "h� 810 0 @user rickity..rick.. rickity...rick.. as the same ole broken down wagon is looking to find the next mateen to jump on board. 811 0 love this city, great day in #cleveland! #home #calm �� 812 1 i guess @user is talking about progress in the advancement of , #misogyny, #homophobia, #bigotry 813 0 teen girl killed, 3 others injured in downtown oakland shooting. #guns #mentalillness #gangs ������ is #orlando 814 0 "to everyone going through any struggle or pain right now, keep your head up, and keep on smiling, you'll get through it." i hope so 815 0 good evening my darling instagram babies. #blessed #lipstick #makeup #fun #grateful #share 816 1 @user jake is right, 2 many ppl lack the will power to take a stand &amp; drown the small minded &amp; oft evil tendencies of past 817 0 i really hate hipocrit politicians which is just about all on all sides... we deserve better as citizens. .. 818 0 @user .@user @user where is environmental wellbeing? the "plan" is only about sites - nothng todo with w� 819 0 bihday sway bihday sway bihday���平 bihday���平 820 0 #saturday #morning, now go back to sleep. #thetrust #comusic #indie � faded away - johnmaun. listen @user 821 0 i was founate to have this man in my life every single day. #father #day to all. 822 0 @user @user gutted didn't know that you were here tonight i would have been there #good luck 823 0 beginning to think @user is a tom brady hater, the way he goes on about the man! 824 0 the attack in #orlando has caused a lot of pain to many people. #vengeance is not an option. we are all very , lets comfo each other 825 0 cuteness overloaded � let your life fills with love and sweetness �� #live_long married life 826 0 heading to #graduation @user #mechtechplumbing #futureplumber #proudmama � 827 1 @user .@user is it possible for you to speak in any topic without bringing race into it, you bigot? @user � 828 0 #model i love u take with u all the time in ur�!!! ������� 829 0 ours, too. so much terribly news over the weekend! #orlando #christinagrimmie #prayers 830 0 do more of what makes you . #innovative_nous 831 0 [1465876849.66] update @ #social #analytics #instalike #tbt #yoga #summer #fun 832 1 #rushlimbaugh does his incredibly obama impression. via @user 833 0 @user @user we, the people, are failing our fellow citizens. 834 0 staing to pack for my move! ���� #newflat 835 0 he is my first love. i may not be his, but he makes me feel like i am. #love #cheese #shotermlongdistance 836 0 @user just youtu bed them two and they don't get on now #friendship 837 0 if you want to be , be kind to the #poor; it is a #sin to despise anyone. #jesus #faith #believe #wisdom 838 0 have a nice life. i'm done trying to be in it. #lovequotes 839 0 the latest positivementalattitude! thanks to @user @user @user #positive 840 0 you want to spark a serious debate about gun violence release the photos of the bodies inside the club. #orlandoshooting #gunviolence 841 0 just arrived in blagoevgrad fo #zaz conce feeling under the #umbrelas 842 0 .@user a number of our leaders are coming 843 0 so to see @user at #tcashowroom yesterday �� 844 0 @user isn't mean to me so that means he doesn't like me � 845 0 great way to spend a saturday � #relaxation #positivevibes #california #cakesbytheocean 846 0 � #eur/usd could test 1.16 near-term � westpac #blog #silver #gold #forex 847 0 he has no money. campaign asking for $100k donations by midnight to fight hrc's ad buy. #brokedonald #lyindon 848 0 today calls for champagne ��� #friday #fridayfeeling #friyay #goodweek #clients #hair� 849 0 @user @user @user rightly so! gop hates trump more than obama 850 0 @user @user @user @user @user @user @user @user sunday hugs 851 0 just the 2 of us������� #me #selfie #myfriend #loveher #giannena #smile #thecomeback 852 0 in that moment, she decided she needed more. a switch to control life's response. default. 853 0 now playing : yiruma - " kiss the rain" on music song 854 0 so simple, but so true. becoming all we are capable of being! #burnsurvivor #dolbf #motivation #motivate 855 0 back...who missed me?....#greatfultogod #beendoinggreat #selfie 856 0 do not! i repeat, do not put a dog in a hot car and leave them there in the heat! keep them home! for fucks sake! #dogs 857 0 what a splendid #nosie, me, probably not this #year #wrc #rallypoland @user @user 858 0 2 hours to go until our music video is released! #music #edinburgh #scotland #band @user #musicvideo #a @user 859 0 @user he is confirmed dead...according to farrah gray #pulseshooting 860 0 look at journeys left and right foot stage ����� !!!!!! 861 1 black professor makes assumptions about an entire race whilst speaking for entire race. next week the jews!� 862 0 back to music"now playing michael jackson(the lost children) unificationsday"and may god all the children &amp; their families#33!smile 863 0 #drakeandjosh buffalo simulation: buffalo for you to take in the vicinity of their homes to do. in this wa 864 1 #trumpusa when they call us #homophobic #misogynist they are really saying they are jealous of us w� 865 0 @user i think you should suspend indefininetly that racist staff 866 0 *she sat alone and let out a sad sigh* #openrp #bored 867 0 good morning #manchester a quick preview of a new #gin that we'll be launching very soon! about this one! 868 0 tried on the new @user #trailn2v3 today! although they feel very similar to v2's, the v3's are smoother and feel great! 869 0 kiki felt ignored today @user make kiki dance again #kikidance #miabbook 870 0 @user the source of #inspiration my ideal #my #lyf my #baba .... fathers days!!! 871 0 @user congrats to the thomas on your new #beautiful home in tehaleh! welcome to the lennar family! #homeowner 872 0 i miss the days when my friends played xbox :( 873 0 new case and scraggly hair. ! 874 0 @user loving our dincwear! mum's da word @user for straight up '16 on saturday #brickingit 875 0 bihday sexy girl girls on top of boys naked 876 0 @user he's the only one where the majority of fans like him, salty gsw fans just needed someone to be about 877 0 @user changing on a daily basis!-14weeks until handover!! @user network team in soon then av! 878 0 @user when is this coming to singapore! 879 0 sma baby socks gbp 19.00 get here: #shop #cool #home #fun 880 1 i liked a @user video from @user #sjw retard wants more ! 881 0 @user so woh the wait! @user #doubledown my wife @user is @user #veganbeerfest #vegan 882 0 @user lmfao deadass?? � 883 0 what an amazing interview. #bjmckenzie #born2win #bjmuzic 884 0 boasty tuesday last night boom boom and harry hype say get 885 0 bihday balayya even at that age mass look,craze in fans,on screen romance..he is a legend #jaibalayya 886 0 woohoo #kingslanding #highlandreserve #house #family #building #ourhome� 887 0 outlining my themes for my would-be poems haha 888 0 #decors buffalo simulation: buffalo for you to take in the vicinity of their homes to do. in this way, you 889 0 sold! one of two paintings that are going to get a beautiful new home this week. #sold� 890 1 @user msg of #hope for #newyear: a business to end . #endof2016 #tedtalks #tedatibm @user @user 891 0 :( why does @user slag off children? i love your show but......really? @user 892 0 safe to say i'm missing #marbs sitting at home on your own watching #euro2016 listening to the rain is #depressing #bringbackhappiness 893 0 they have been brainwashed by the left who is allowing these terrorist to come into america to kill them. 894 0 gd morning ���� #gdragon #gd #kwonjiyong #jiyong #vip #bigbang #handsome #cute #love� 895 0 friendszxc � ��� 896 0 4 more days till vacation! ���� 897 0 the secret of a happy marriage is all about finding other people less attractive: and those who repo... 898 0 python27 and concurrency are not best friends, all the code i have 2 restructure to get concurrency with celery #developers #python 899 0 #womenareamazing we think so! #induoevents - - - - #superwomen #follow #dowhatyoulove � 900 0 hairy pussy redtube hardcore tracks 901 0 let the season 4 binge begin �� #oitnb #myfavorite #season4 #weekendplans 902 0 rest in peace � #christinagrimmie #loss #rip #missed #fan #foreverinourheas 903 0 "a picture is woh a thousand words." #sundayrewind #hongkong #travel #lady #lawyer� 904 0 relax !!! ��� #ingers #followme #follow #follow4follow #beach #pool #relax #enjoy #couple� 905 0 @user countdown has begun#family#freeevent#festival# enteainment #food#stalls 906 0 #awesome beginner #gopro #mounts super to use!!! 907 0 dear istore , please don't crash down due to heavy overload on 17-19 #booktime #muchlove ��� 908 0 never underestimate the power of a good book, good wine, good food, and a great patio. #summerevening #patioweather 909 0 istg this is the best cheese ta but dayum expensive 910 0 my morning (office) routine will never be the same without my bff #imy 911 0 #model i love u take with u all the time in ur�!!! ������� 912 0 #theshallows weak attempt to cash in on the jaws anniversary 913 1 @user non stop election i blame #cspan for hiding for 8 years 2016 pittsburgh california 914 0 we�re extremely to reveal the first #official #poster for #poalorigins [pa 2], coming this #summer. mo� 915 0 16 minutes and counting.... #wwdc #wwdc2016 916 0 @user @user he "has to play ball" now! the state of our politics! it's now all a facade, as we've lost principality! 917 1 #people aren't protesting #trump because a #republican won-they do so because trump has fuhered &amp;� 918 0 it's a great day to just be nothing but happy��� #blessed#thankful 919 0 have a happy sunday everyone!!!����� #sundaymorning #sunday #peace #love 920 0 i always help others. never myself. because other people matter and i clearly don't. #quotes #latenights 921 0 ! my bihday weekend ! even better ! xx 922 0 stay strong � #selflove #love #iloveme #quote #quotes #quoteoftheday #happiness #life #wisdom #wordsofwisdom 923 0 happy father's day.. #boys #father #sweet #love #memory @user 924 0 aww yeah it's all good bing bong bing bong 925 0 #life is most #impoant for #human #spirit #truth #love #give b #spirituality #thinkbigsundaywithmarsha��� 926 0 to the father of my babies, i love u. happiest of father's days! #father via 927 0 @user current mood: about @user 's web developer meet &amp; hire on 6/22. 928 0 you know you're getting old when you sta to get 'turned on' looking at poweools in b&amp;q 929 0 re: 50 projects 2016---busy hands are happy hands! 930 0 @user bride: a woman with a fine prospect of happiness behind her. �ambrose bierce #wedding #love 931 0 #friday xoxosamantha via 932 0 @user stop robbing innocent customers of their hard earned aiime which you guys have no idea on how dey managed to recharge... 933 0 grab your bestie &amp; swing by for hour ~ we've missed you. #fun #eat� 934 1 is not an #opinion. racism is #degrading people based on race to justify #discrimination or open #violence against them. #stopracism 935 0 finally moving today ��� 936 0 @user @user and @user i'm on my way..... can we say #blogger #vlogger� 937 0 @user @user yay! fantastic for #edinburgh 938 0 lemme find out i have to put on my boiler in the month of june. 939 0 my hea goes out to the families of those 50 people killed in the massacre in orlando. 940 0 pre @user gig drinks! � #passthecourvoisier �@user 941 0 so we rescued a pup... meet rexy �� #rescuepup #rexy #pupsofsg #suicidegirls #beautiful #puppylove 942 0 these videos will get you excited for the future� #tech #augmented #future #mobile 943 0 @user congrats � ur wish come true working with @user � superxcited for the songs ���� 944 0 we wish it were! 945 0 ��#hellosunday i hope you all have a #beautiful #sunday :) #sundayfunday sunnday!!� 946 0 i once did that gif..did't listen to this song since ages.. 947 0 � #nzd/usd rises to 0.7040, eyeing gdt price index and fomc statement #blog #silver #gold #forex 948 0 how true! home-food is considered a cheap-meal. impressions are made at restaurants!!! 949 0 happy bihday to one of the west's greatest!! tupac shakur �� #bihday #rip #tupac� 950 0 @user live your life.... 951 0 29hrs to go� #fl #motionposter to be revealed #mupparimanam feeling #nervous ���� stay tuned 952 0 @user i had a little taste it was for sure! 953 0 appletstag #compleanno #toa #cake #family bday #selfie #me #smile #girl #summer� 954 0 #anime #anime-a -tree-friends #tags: #anime, #fana, pixiv, happy tree ... 955 0 @user happy 2nd wedding anniversary to my amazing husband @user ������ #memories #2years #lotstocome #love 956 0 after a slow sta, i had a productive day! getting back into a routine after a bout of fatigue and flareup is hard! #spoonieproblems 957 0 i love ramdan and fasting,i love the iftar's feeling and i love the way i feel during ramadan with praying and reading quran #blessed 958 0 � #eur/gbp subdued trading action around 0.7930 #blog #silver #gold #forex 959 0 � with @user #ngitingtagumpay 960 0 it's an unusual cloudy day. election day and picnic with friends! sunday to everyone! �� #welcomeludovica... 961 0 #cloudchaser gorilla simulator: you need to do to adapt to the environment. the need to tear the city. mat 962 0 christ is alive in you. #vlicobs #xoxo #love #grace #amen #share #passion #church #life� 963 0 wants leak of udta punjab probed, suspects 'political ... #jobs #jobsearch #: #chandigarh: makers of udt... 964 0 yesterday @ ozen � #restaurant #eatallyoucan 965 0 i can already tell that next week's episode is gonna give me intense anxiety!!!! #nervous #gameofthrones 966 0 you've got nothing to say, so you assume that?! ahahahahahah 967 0 i'm just an ordinary girl #intruduceyourself !�� 968 0 @user may lights triumph over darkness. may this ramadan bring peace, harmony and joy. #ramadan! #ramadankareem 969 0 @user @user any1 else notice most of the "suppoers" r pageant girls w.years to internalize a female oppressive system? 970 0 @user 4 reasons that optimists rule the world #success #growth #balance #optimism 971 0 i hate online applications because you don't even get your foot in the door before they tell you no, we don't need you. 972 0 i am thankful for flowers. #thankful #positive 973 0 to top off my crappy day w/me not signing papers for my house, @user pop up conce 4 blocks from work &amp; i didn't know. :( 974 0 beautiful (: i love living at the beach!!!! #beach #loveit 975 0 @user omg bitch ���� i knew you was gone do lil kim .. actually look like a music video 976 0 #tgif #ff to my #gamedev #indiedev #indiegamedev #squad! @user @user @user @user 977 0 @user @user @user man i even have a bunch of coupons too..... 978 0 way to sta the day #goodmorning 979 0 lking forward 2 our watering holes, watchtowers, foresses.. @user @user @user 980 1 @user #allahsoil the next best seller book! #isis #islam #2016in4worlds #2016in4words #terrorists #gwot � 981 0 this a a fantastic rub for steak #yum #thespicesndteaexchange #dc #healthy� 982 0 #followme touch my tits - 983 0 feels like summer ��� #love #like #live #life #enjoy #healthy #sun #tan #bikini #summer� 984 0 #teenageson reckons that he's gone 'beyond the call of duty' with my #fathersday prezzie � 985 1 @user don't forget, @user - research shows that sexist men have psychological problems. #tuckercarlson 986 0 nice! any specific pedagogical changes? � 987 0 @user typical city fan 988 1 "no im not attracted to asian ppl bc im not asian" what if i tell you no im not attracted to u bc im not (inse race here) hoe 989 0 @user awlrite mol? jealous? better than being at cricket pitch all my life #getalife 990 0 prayers go out to eddie and his family 991 0 #nothappy my carer is finishing in one week :*( 992 0 #closeencounters of the #fatkind #fatkid #dese #sick #tired #maybemono 993 0 #gymmorgon #gym #morning #strength #energy #training @ wingym 994 0 glad it all arrived safely @user ! 995 1 who defines ?: historically #oppressed or historic #oppressors/#privileged 996 0 are you really or just pretending to be? #truthseekers #empowerment #selfimprovement #healing #ihearadio 997 0 i finally found a way how to delete old tweets! you might find it useful as well: #deletetweets 998 0 @user what a #view #oregon #poland #usa #unitedstates #holiday #dj #producer #house� 999 0 have you put in your #vote yet? if you havent, do it and #share so we can see what makes #you #smile. #poll 1000 0 @user next chapter in life stas soon, looking at a house today with my fiancé ������ 1001 0 just booked our trip to europe���� @user @user #travelwise #europe2016 #london #paris 1002 0 i am thankful for oxygen. #thankful #positive 1003 1 the latest the volatile daily! thanks to @user @user @user #space 1004 0 someone explain why @user is being so moody 1005 0 very and worrying! 1006 0 today is national #smile power day! show those #pearly whites to someone deserving and make their day a one! 1007 1 @user radicalism shouldn't be countered with . terrorists see us as inhumans, but we "the free" can't judge by color,� 1008 0 @user great appreciations frm everyone for u performance soo happy sir��11 hrs to go for me to watch the film #gentleman �� 1009 0 cuddling with my baby....it's all about having fun!!!!! #love � 1010 0 it's the end of an era. amazon finally took down the final fantasy versus xiii entry in their database. 1011 0 @user a lot of pakistani twitter folk make out like they are totally liberal &amp; open minded... and having any so of deen imaa� 1012 0 little anya is having fun waiting for the 28 milers to arrive for their ride. #2016neotour 1013 0 daddy days to @user @user 1014 0 @user sad to be leaving our first house today but looking forward to making memories in the new house with @user #movinghou� 1015 0 i tend to expose my moods through aists name or song titles #music 1016 0 friday bbq @ surf riders hostel (fueeventura) #barbeque #hostel #summer #surf #kitesurf #wave #fun#holiday 1017 0 @user #cnnelection @user what? nice parroting of @user "racist" talking points repoed last night. #onpoint 1018 0 stuck in the rat race? find your freedom. #masterkeyexperience 1019 0 more stuff #crazy #fashion #fun #color #gowns #fashiondesign #design #illustration� 1020 0 don't give in to depression. get busy with any positive movement that puts you in a good mood #fitness #fresh 1021 0 where's his other half??? i want to indulge myself with a lot of yunho esp him dancing keep you head up today! ���� 1022 0 tried for the same lateral move at the same institution 2 years in a row and failed. lol. 2-3 years experience required. i have 9. � 1023 0 for the fact that you keep watching, makes it more interesting 1024 0 like this sis regrann from fffwithjanelle - #liberated � 1025 0 last day of normalcy before we star summer camp! ! 1026 0 turning a year younger � #newyear #newblessings bihday to me #thankful #grateful � 1027 0 can not wait for wales vs nz tonight at eden park #cymruambyth @user come on @user 1028 0 this will break my hea. it will. #teamandre #idontcareifhesbritish 1029 0 buzzing that this time 2 weeks @user and i will be lying on a beach in phuket ��� #hurryup 1030 0 #happiness #realtimechem #chemistry #education very sma and practical... 1031 0 rooftops. #sunday #weekend #drinks #la #night #views #summer #fullmoon #dtla #fun � 1032 0 @user , but how does an 18 yrs old save up enough money to buy a motorcycle? 1033 0 if these are the scenes at #euro2016 , then i fear for the next @user ! 1034 0 _ #windows10 split screen #browser! #lumia950xl #lg 330 1035 0 can #lighttherapy help with or #depression? #altwaystoheal #healthy is #happy !! 1036 0 �quote of the day � #bless #thankful #optimistic #positive #faith #strong #motivation � 1037 0 @user like the spread of peanut butter on white bread! #littlewonders 1038 0 vmin makes me so happy but at the same time. . i hate it 1039 0 fathers day lovvvvvvvveeeeeeee u dear father 1040 1 @user @user but look how passionate they are about #ivankatrump on the plane. which was #fake. yet ignore #adamsaleh. #ra� 1041 0 .@user named @user one of #atlanta's top pr firms! 1042 0 brunch #balconyview #brunch #sundaybrunch #sunday #istanbul #love #girl #instalike� 1043 0 @user things are coming along nicely ! #columbus #mbb #mygrind #mrbaileybaby #tshi� 1044 0 � #williams companies will energy transfer paners heiraten: texas-poker im pipeline-sektor #blog #silver � 1045 0 next dining with devika date will be announced this week! 1046 0 football violence, the few spoiling it for the many 1047 0 thanks for pouring tea over my razer blackwidow chroma #kids #destruction 1048 1 todays donkey #zionazi is proud of murdering real palestinian semitic children - thats what i call� 1049 0 cannot taste or smell anything � #helpme #imnotusetothis #perfecttiming #weekend 1050 0 and it's done!! #cantwait #latvia #hereicome #midsummers #familly #friends� 1051 0 @user we can do no great things, only small things with great love. ~ mother teresa #love #women 1052 0 find out about making schools places @user @user and i #educationfest 1053 0 reminds me of a tough choice between nigeria and india in 2013. had to choose india for the mental health research 1054 0 � kill em w� kindness � #revival #sunrise #rebelhea #morning #pielcanela �������� 1055 0 jumat ma pple....eyan ytinny 1056 0 can #lighttherapy help with or #depression? #altwaystoheal #healthy is #happy !! 1057 0 @user never more relevant than now rest in #peace johnlennon #inspiration 1058 0 livelypics: if you label your fear or give it a name, it becomes easier to control. #motivation 1059 0 no mojo man lol week one over from this new program. #teammacb #fitmom #fitlife� 1060 0 @user couldn't get this song out of my head today! song/great rhythm. i figure, i'd share it. 1061 0 ��� snapchat: barbiets.93 � #tranny #ladyboy #asianladyboy #thailand #usa #lasvegas� 1062 0 binge watching! and i'm off next week too! lol 1063 0 aww yeah it's all good bing bong bing bong 1064 0 enjoying the scenery #johnxsafaris #eastcapehunting #family #proud #africa 1065 0 what can i say? � #selfie #freetime #smile #instaviña #sonrisa #ust @ olivar viña del mar 1066 0 when... when..... when.... this happens ��� #loop #shopping #vine 1067 0 oh.my.books its so beautiful! oh the feels! all the feels #coverlove #bookporn @user @user 1068 0 yes lovely, such sad, sick times.be glad when it's friday - when all the post- #euref whingeing begins! (bh)(bl)xxx 1069 0 i don't like the adjustment to twilight garrison at all !!!!! just why !!!!!! . #destiny 1070 0 i am secure. #i_am #positive #affirmation 1071 0 #heal yourself naturally - #healthy is ! #idwp! #joytrain ! 1072 0 keeping the shape lol running time! #running #park #summer #exercise #fitness #helthy � 1073 0 @user @user @user whats your opinion that this is just a provocateur? #hangingon 1074 0 @user and this gif���it describe exactly how we feel �� x 1075 0 @user @user has expanded wars thru out the me &amp; made america weaker. he then abandons vets when they return home. 1076 0 i fixed the washing machine !!! 1077 0 @user when #ea knows everyone #hates there #game with constant #surveys of what you don't like about the game. 1078 0 can #lighttherapy help with or #depression? #altwaystoheal #healthy is #happy !! 1079 0 do what makes you ...be with who makes you #smile...#laugh as much as you #breathe...#love as long as you... 1080 1 @user the fn is seeking to rid of its anti-semitic, xenophobic image, but majority of its sympathisers still describe the� 1081 0 @user just booked this morning for wrexham, 4th time to see you since november in
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