Quantitative Research Analysis

Data Country Name Country Code Series Name Series Code 2000 [YR2000] 2001 [YR2001] 2002 [YR2002] 2003 [YR2003] 2004 [YR2004] 2005 [YR2005] 2006 [YR2006] 2007 [YR2007] 2008 [YR2008] 2009 [YR2009] 2010 [YR2010] 2011 [YR2011] 2012 [YR2012] 2013 [YR2013] 2014 [YR2014] 2015 [YR2015] 2016 [YR2016] 2017 [YR2017] 2018 [YR2018] 2019 [YR2019] 2020 [YR2020] Rwanda RWA GNI growth (annual %) NY.GNP.MKTP.KD.ZG 8.122329176 8.0714891027 13.3943925508 1.7717489875 7.4508249926 9.8919807276 9.2370683293 8.1313308219 10.8792078559 6.3059455901 7.1444690652 7.9500622728 8.1022476996 4.3623235279 5.5069445286 9.2600007149 5.0687931293 3.5182890228 8.1172626097 9.7391500406 -2.3194538418 Rwanda RWA GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG 2.228789973 4.1659399034 10.7582173956 0.2244596098 5.9238761376 7.9067146494 6.7835006335 5.4446859722 7.9598506012 3.499763417 4.4062564321 5.2863209883 5.4755878214 1.8345276063 2.9168641457 6.5168688847 2.3696588258 0.8214043766 5.2960382713 6.9148848189 -4.7725218033 Rwanda RWA GDP growth (annual %) NY.GDP.MKTP.KD.ZG 8.3709182404 8.4845194529 13.192078097 2.2024027204 7.4476796764 9.3778994248 9.2270475787 7.6333110613 11.1612432402 6.2482599291 7.3346561077 7.9583857188 8.6415206247 4.7198368644 6.1671677213 8.8568613247 5.9707442981 3.9762896945 8.5794375373 9.4605975613 -3.3588533196 Rwanda RWA GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG 2.4638289279 4.5640439269 10.5606063168 0.6485658877 5.9207755184 7.4019205408 6.7737049584 4.9590400742 8.2344602285 3.4436004975 4.5915830039 5.2944390476 6.0017575356 2.1833814887 3.5608795794 6.1238508975 3.2484395816 1.2674730989 5.7461531529 6.6435012131 -5.7858186675 Rwanda RWA Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.BA.ZS .. .. .. .. .. .. .. .. .. .. .. .. 2.0975799561 .. 2.2927699089 .. .. .. 4.132830143 .. .. Tanzania TZA GNI growth (annual %) NY.GNP.MKTP.KD.ZG 4.3718256532 4.5974827983 8.8898205418 6.0621673996 7.4106651693 6.8530258613 8.4792927819 5.5325024241 5.8945998696 5.3593083033 5.5095085854 7.6217822076 4.9310664026 6.6499397752 6.6154967297 5.8810278717 6.474109727 6.7388983853 .. .. .. Tanzania TZA GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG 1.833368305 1.9071936043 5.972653732 3.1400384621 4.4219737562 3.8833973567 5.472143569 2.599404666 2.9334049226 2.380847566 2.4869030297 4.5004939607 1.8600715436 3.5096032159 3.4681756227 2.7561514631 3.3353501978 3.5983130347 3.3336898435 5.4044800618 -2.8883347527 Tanzania TZA GDP growth (annual %) NY.GDP.MKTP.KD.ZG 4.5207846349 6.0708082885 7.0931949835 6.6727898291 7.5038146605 7.4763192578 6.5322213903 6.7685352018 5.6864168598 5.2691052479 6.3365234275 7.672155435 4.5001535598 6.7815856007 6.7324618683 6.1606287741 6.8671161964 6.7856801141 5.4449676009 5.7999999771 1.9963435063 Tanzania TZA GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG 1.9787044123 3.3426245722 4.224159913 3.7338375745 4.5125313718 4.4893683628 3.5790468491 3.8010839991 2.7310434606 2.2931945108 3.2902257924 4.5494062444 1.4417701339 3.6373726941 3.5816879157 3.0275004785 3.7167711955 3.6437183018 2.3550834581 2.7193364856 -0.9501765176 Tanzania TZA Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.BA.ZS .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. Kenya KEN GNI growth (annual %) NY.GNP.MKTP.KD.ZG 0.9087303648 3.6933058808 0.7313046627 2.756655092 5.3383604162 6.7140771519 6.2320597016 6.6759189291 0.5702437663 -9.9194145691 9.0995333728 7.6690039548 3.602910326 3.0356653685 5.4640954674 6.385657161 13.9943128752 3.2554999653 6.0731054009 5.019163944 -0.383334907 Kenya KEN GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG -1.8244898484 0.9027390613 -1.9642061873 0.0097587765 2.5109740801 3.8305891199 3.3422989805 3.7630517357 -2.1746385507 -12.3636272866 6.1692709048 4.807392279 0.8805701431 0.3725887166 2.7990936367 3.7675281867 11.267849232 0.8507523399 3.6553126845 2.659263554 -2.6015130143 Kenya KEN GDP growth (annual %) NY.GDP.MKTP.KD.ZG 0.5996953908 3.779906498 0.5468595302 2.9324755457 5.1042997763 5.9066660798 6.4724943002 6.85072977 0.2322827448 3.3069398163 8.0584736029 5.1211061197 4.5686796144 3.7978483926 5.0201110023 4.9677211276 4.2135170681 3.8379581736 5.6479464071 5.1141588577 -0.250155705 Kenya KEN GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG -2.1251542816 0.9870091056 -2.1437156759 0.1808791886 2.2831958605 3.0449948524 3.5761931952 3.9330892335 -2.5033755394 0.5038481746 5.1561725594 2.327212115 1.8209622241 1.1150722336 2.3663283397 2.3844872652 1.720986009 1.4196455081 3.2398446139 2.7521238236 -2.4712993321 Kenya KEN Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.BA.ZS .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. South Sudan SSD GNI growth (annual %) NY.GNP.MKTP.KD.ZG .. .. .. .. .. .. .. .. .. .. .. .. 14.4697098178 13.7690250881 -12.5883528359 -5.9591950283 .. .. .. .. .. South Sudan SSD GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG .. .. .. .. .. .. .. .. .. .. .. .. 11.2671514727 11.1170004379 -14.2434535285 -7.3701594162 .. .. .. .. .. South Sudan SSD GDP growth (annual %) NY.GDP.MKTP.KD.ZG .. .. .. .. .. .. .. .. .. 5.0416418798 5.4934163953 -4.640316736 -46.0821223743 13.1297311407 3.3736484772 -10.7933646271 .. .. .. .. .. South Sudan SSD GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG .. .. .. .. .. .. .. .. .. 0.3845748252 1.4314574553 -7.7669135014 -47.5906013354 10.4926088183 1.4163143833 -12.1317983603 .. .. .. .. .. South Sudan SSD Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.BA.ZS .. .. .. .. .. .. .. .. 3.7748200893 .. .. .. .. .. .. .. .. .. .. .. .. Burundi BDI GNI growth (annual %) NY.GNP.MKTP.KD.ZG 2.0245233187 -0.8020352129 4.1923585131 -1.801310725 4.092928998 2.1788861648 6.3649104952 3.7206995133 5.0388079793 3.0927385457 5.5667827388 3.7859127379 4.9728569095 5.2984792147 3.8715583964 -3.6174895808 -0.6673036384 0.6167962846 1.7923837679 1.9063716719 0.6205239121 Burundi BDI GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG 0.2373546785 -3.0317124667 1.4170735548 -4.7155507962 0.8449620074 -1.0560644539 2.967639427 0.3648996852 1.6278953732 -0.240993883 2.1846836176 0.5095870029 1.7077963268 2.0501129242 0.66393097 -6.61267042 -3.773514503 -2.5336486559 -1.3807802868 -1.2328415179 -2.4275446037 Burundi BDI GDP growth (annual %) NY.GDP.MKTP.KD.ZG -0.8568640584 2.0558071084 4.4465194122 -1.2237279602 4.8336577681 0.9000000009 5.4138071449 3.4519524895 4.8617129951 3.8127469365 5.1241577957 4.0325999884 4.4467063311 4.9241898983 4.240650214 -3.9000000805 -0.6000009091 0.5000012624 1.6099354213 1.812565324 0.3271568926 Burundi BDI GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG -2.5935592929 -0.2381059999 1.664464582 -4.1551089409 1.5625781356 -2.2944614938 2.0469141016 0.1048477553 1.4565511732 0.455731439 1.756239285 0.7484868017 1.19801106 1.687370107 1.0216249704 -6.8864016294 -3.7083163825 -2.6467866714 -1.5575411889 -1.3237581729 -2.7120247407 Burundi BDI Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) SE.TER.CUAT.BA.ZS .. .. .. .. .. .. .. .. .. .. .. .. .. .. 0.8054999709 .. .. 0.9086199999 .. .. .. Data from database: World Development Indicators Last Updated: 07/20/2022 Series - Metadata Code License Type Indicator Name Long definition Source Topic Periodicity Aggregation method Statistical concept and methodology Development relevance Limitations and exceptions License URL NY.GNP.MKTP.KD.ZG CC BY-4.0 GNI growth (annual %) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. World Bank national accounts data, and OECD National Accounts data files. Economic Policy & Debt: National accounts: Growth rates Annual Weighted average https://datacatalog.worldbank.org/public-licenses#cc-by NY.GNP.PCAP.KD.ZG CC BY-4.0 GNI per capita growth (annual %) Annual percentage growth rate of GNI per capita based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. World Bank national accounts data, and OECD National Accounts data files. Economic Policy & Debt: National accounts: Growth rates Annual Weighted average https://datacatalog.worldbank.org/public-licenses#cc-by NY.GDP.MKTP.KD.ZG CC BY-4.0 GDP growth (annual %) Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2015 prices, expressed in U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. World Bank national accounts data, and OECD National Accounts data files. Economic Policy & Debt: National accounts: Growth rates Annual Weighted average Gross domestic product (GDP) represents the sum of value added by all its producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Total GDP is measured at purchaser prices. Value added by industry is normally measured at basic prices. When value added is measured at producer prices. Growth rates of GDP and its components are calculated using the least squares method and constant price data in the local currency. Constant price in U.S. dollar series are used to calculate regional and income group growth rates. Local currency series are converted to constant U.S. dollars using an exchange rate in the common reference year. An economy's growth is measured by the change in the volume of its output or in the real incomes of its residents. The 2008 United Nations System of National Accounts (2008 SNA) offers three plausible indicators for calculating growth: the volume of gross domestic product (GDP), real gross domestic income, and real gross national income. The volume of GDP is the sum of value added, measured at constant prices, by households, government, and industries operating in the economy. GDP accounts for all domestic production, regardless of whether the income accrues to domestic or foreign institutions. Each industry's contribution to growth in the economy's output is measured by growth in the industry's value added. In principle, value added in constant prices can be estimated by measuring the quantity of goods and services produced in a period, valuing them at an agreed set of base year prices, and subtracting the cost of intermediate inputs, also in constant prices. This double-deflation method requires detailed information on the structure of prices of inputs and outputs. In many industries, however, value added is extrapolated from the base year using single volume indexes of outputs or, less commonly, inputs. Particularly in the services industries, including most of government, value added in constant prices is often imputed from labor inputs, such as real wages or number of employees. In the absence of well defined measures of output, measuring the growth of services remains difficult. Moreover, technical progress can lead to improvements in production processes and in the quality of goods and services that, if not properly accounted for, can distort measures of value added and thus of growth. When inputs are used to estimate output, as for nonmarket services, unmeasured technical progress leads to underestimates of the volume of output. Similarly, unmeasured improvements in quality lead to underestimates of the value of output and value added. The result can be underestimates of growth and productivity improvement and overestimates of inflation. Informal economic activities pose a particular measurement problem, especially in developing countries, where much economic activity is unrecorded. A complete picture of the economy requires estimating household outputs produced for home use, sales in informal markets, barter exchanges, and illicit or deliberately unreported activities. The consistency and completeness of such estimates depend on the skill and methods of the compiling statisticians. Rebasing of national accounts can alter the measured growth rate of an economy and lead to breaks in series that affect the consistency of data over time. When countries rebase their national accounts, they update the weights assigned to various components to better reflect current patterns of production or uses of output. The new base year should represent normal operation of the economy - it should be a year without major shocks or distortions. Some developing countries have not rebased their national accounts for many years. Using an old base year can be misleading because implicit price and volume weights become progressively less relevant and useful. To obtain comparable series of constant price data for computing aggregates, the World Bank rescales GDP and value added by industrial origin to a common reference year. Because rescaling changes the implicit weights used in forming regional and income group aggregates, aggregate growth rates are not comparable with those from earlier editions with different base years. Rescaling may result in a discrepancy between the rescaled GDP and the sum of the rescaled components. To avoid distortions in the growth rates, the discrepancy is left unallocated. As a result, the weighted average of the growth rates of the components generally does not equal the GDP growth rate. https://datacatalog.worldbank.org/public-licenses#cc-by NY.GDP.PCAP.KD.ZG CC BY-4.0 GDP per capita growth (annual %) Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. World Bank national accounts data, and OECD National Accounts data files. Economic Policy & Debt: National accounts: Growth rates Annual Weighted average For more information, see the metadata for constant U.S. dollar GDP (NY.GDP.MKTP.KD) and total population (SP.POP.TOTL). https://datacatalog.worldbank.org/public-licenses#cc-by SE.TER.CUAT.BA.ZS CC BY-4.0 Educational attainment, at least Bachelor's or equivalent, population 25+, total (%) (cumulative) The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent. UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of June 2022. Education: Outcomes Annual It is calculated by dividing the number of population ages 25 and older who attained or completed Bachelor's or equivalent by the total population of the same age group and multiplying by 100. The number 0 means zero or small enough that the number would round to zero. Data are collected by the UNESCO Institute for Statistics mainly from national population census, household survey, and labour force survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. A relative high concentration of the adult population in a given level of education reflects the capacity of the educational system in the corresponding level of education. Educational attainment is closely related to the skills and competencies of a country's population, and could be seen as a proxy of both the quantitative and qualitative aspects of the stock of human capital. Caution is required when using this indicator for cross-country comparison, since the countries do not always classify degrees and qualifications at the same International Standard Classification of Education (ISCED) levels, even if they are received at roughly the same age or after a similar number of years of schooling. Also, certain educational programmes and study courses cannot be easily classified according to ISCED. This indicator only measures educational attainment in terms of level of education attained, i.e. years of schooling, and do not necessarily reveal the quality of the education (learning achievement and other impacts). https://datacatalog.worldbank.org/public-licenses#cc-by