Botswana Poverty Headcount Ratio at Societal Poverty Lines: % of Population data was reported at 36.800 % in 2015. This records a decrease from the previous number of 37.500 % for 2009. Botswana Poverty Headcount Ratio at Societal Poverty Lines: % of Population data is updated yearly, averaging 41.900 % from Dec 1985 (Median) to 2015, with 5 observations. The data reached an all-time high of 47.400 % in 1985 and a record low of 36.800 % in 2015. Botswana Poverty Headcount Ratio at Societal Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. The poverty headcount ratio at societal poverty line is the percentage of a population living in poverty according to the World Bank's Societal Poverty Line. The Societal Poverty Line is expressed in purchasing power adjusted 2017 U.S. dollars and defined as max($2.15, $1.15 + 0.5*Median). This means that when the national median is sufficiently low, the Societal Poverty line is equivalent to the extreme poverty line, $2.15. For countries with a sufficiently high national median, the Societal Poverty Line grows as countries’ median income grows.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Historical dataset showing Botswana poverty rate by year from 1985 to 2015.

Botswana BW: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data was reported at 24.300 % in 2009. This records a decrease from the previous number of 44.800 % for 2002. Botswana BW: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data is updated yearly, averaging 42.600 % from Dec 1985 (Median) to 2009, with 4 observations. The data reached an all-time high of 68.000 % in 1985 and a record low of 24.300 % in 2009. Botswana BW: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. Rural poverty headcount ratio is the percentage of the rural population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

Poverty gap at $3.2 a day of Botswana dropped by 6.52% from 13.8 % in 2009 to 12.9 % in 2015. Since the 18.47% slump in 1993, poverty gap at $3.2 a day plummeted by 49.61% in 2015. Poverty gap at $3.20 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $3.20 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.

Botswana BW: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data was reported at 11.000 % in 2009. This records a decrease from the previous number of 19.400 % for 2002. Botswana BW: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data is updated yearly, averaging 22.050 % from Dec 1985 (Median) to 2009, with 4 observations. The data reached an all-time high of 30.000 % in 1985 and a record low of 11.000 % in 2009. Botswana BW: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

In 2025, over **** million people in Mozambique lived in extreme poverty (with less than **** U.S. dollars a day), the highest number within Southern Africa. The country also scored the highest share of its overall population living below the poverty line in the region. On the other hand, Botswana had the lowest number of just over ******* people living in impoverished conditions, accounting for ** percent of the overall population.

Botswana BW: Poverty Headcount Ratio at National Poverty Lines: % of Population data was reported at 16.100 % in 2015. This records a decrease from the previous number of 19.300 % for 2009. Botswana BW: Poverty Headcount Ratio at National Poverty Lines: % of Population data is updated yearly, averaging 30.600 % from Dec 1985 (Median) to 2015, with 5 observations. The data reached an all-time high of 59.000 % in 1985 and a record low of 16.100 % in 2015. Botswana BW: Poverty Headcount Ratio at National Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. National poverty headcount ratio is the percentage of the population living below the national poverty line(s). National estimates are based on population-weighted subgroup estimates from household surveys. For economies for which the data are from EU-SILC, the reported year is the income reference year, which is the year before the survey year.;World Bank, Poverty and Inequality Platform. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.;;This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

21.40 (النسبة المئوية) in 2015. Population below $1.9 a day is the percentage of the population living on less than $1.9 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

Botswana BW: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data was reported at 14.500 % in 2015. This records a decrease from the previous number of 17.200 % for 2009. Botswana BW: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data is updated yearly, averaging 28.200 % from Dec 1985 (Median) to 2015, with 5 observations. The data reached an all-time high of 40.900 % in 1985 and a record low of 14.500 % in 2015. Botswana BW: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

35.80 (%) in 2015. Population below $3.1 a day is the percentage of the population living on less than $3.1 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.

The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.

The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.

Botswana BW: Poverty Gap at $1.90 a Day: 2011 PPP: % data was reported at 3.900 % in 2015. This records a decrease from the previous number of 5.300 % for 2009. Botswana BW: Poverty Gap at $1.90 a Day: 2011 PPP: % data is updated yearly, averaging 10.700 % from Dec 1985 (Median) to 2015, with 5 observations. The data reached an all-time high of 16.900 % in 1985 and a record low of 3.900 % in 2015. Botswana BW: Poverty Gap at $1.90 a Day: 2011 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. Poverty gap at $1.90 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $1.90 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.

Botswana BW: Poverty Headcount Ratio at $3.20 a Day: 2011 PPP: % of Population data was reported at 36.500 % in 2015. This records an increase from the previous number of 35.500 % for 2009. Botswana BW: Poverty Headcount Ratio at $3.20 a Day: 2011 PPP: % of Population data is updated yearly, averaging 48.700 % from Dec 1985 (Median) to 2015, with 5 observations. The data reached an all-time high of 62.200 % in 1985 and a record low of 35.500 % in 2009. Botswana BW: Poverty Headcount Ratio at $3.20 a Day: 2011 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $3.20 a day is the percentage of the population living on less than $3.20 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Abstract

The World Bank is interested in gauging the views of clients and partners who are either involved in development in Botswana or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank's team that works in Botswana, greater insight into how the Bank's work is perceived. This is one tool the World Bank uses to assess the views of its critical stakeholders. With this understanding, the World Bank hopes to develop more effective strategies, outreach and programs that support development in Botswana. The World Bank commissioned an independent firm to oversee the logistics of this effort in Botswana.

The survey was designed to achieve the following objectives: - Assist the World Bank in gaining a better understanding of how stakeholders in Botswana perceive the Bank; - Obtain systematic feedback from stakeholders in Botswana regarding: · Their views regarding the general environment in Botswana; · Their overall attitudes toward the World Bank in Botswana; · Overall impressions of the World Bank's effectiveness and results, knowledge and research, and communication and information sharing in Botswana; and · Perceptions of the World Bank's future role in Botswana. - Use data to help inform the Botswana country team's strategy.

Geographic coverage

National

Analysis unit

Stakeholder

Universe

Stakeholders of the World Bank in Botswana

Kind of data

Sample survey data [ssd]

Sampling procedure

From May to June 2013, 300 stakeholders of the World Bank in Botswana were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from employees of the Office of the President, Prime Minister; office of ministers; ministries, ministerial departments, or implementation agencies; consultants/ contractors working on World Bank-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff; and respondents from bilateral and multilateral agencies; private sector organizations; financial sector and private banks; NGOs; CBOs; the media; independent government institutions; trade unions; faith-based groups; academia/research institutes/think tanks; and other organizations.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The Questionnaire consists of 8 Sections:

A. General Issues Facing Botswana: Respondents were asked to indicate whether Botswana is headed in the right direction, what they thought were the top three most important development priorities in the country, which areas would contribute most to reducing poverty and generating economic growth in Botswana.

B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in Botswana, staff preparedness to help Botswana solve its development challenges, their agreement with various statements regarding the Bank's work, and the extent to which the Bank is an effective development partner. Respondents were asked to indicate the Bank's greatest values, greatest weaknesses, the most effective instruments in helping reduce poverty in Botswana, with which stakeholder groups the Bank should collaborate more, in which sectoral areas the Bank should focus most resources, to what extent the Bank should seek to influence the global development agenda, and to what reasons respondents attributed failed/slow reform efforts.

C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve development results, the extent to which the Bank meets Botswana's needs for knowledge services and financial instruments, and the Bank's level of effectiveness across twenty eight development areas, such as job creation/employment, poverty reduction, education, health, and public sector governance/reform.

D. The World Bank's Knowledge: Respondents were asked to indicate the areas on which the Bank should focus its research efforts and to rate the effectiveness and quality of the Bank's knowledge work and activities, including how significant of a contribution it makes to development results and its technical quality. Respondents were asked to also indicate to what extent they believe that Botswana received value for money from the Bank's fee-based products/services.

E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, increasing Botswana's institutional capacity, and providing effective implementation support.

F. The Future Role of the World Bank in Botswana: Respondents were asked to rate how significant a role the Bank should play in Botswana in the near future and to indicate what the Bank should do to make itself of greater value. They were asked to indicate where greater support from the Bank would be most valuable in regard to economic diversification, social protection, natural resource management, information and communication technology, transport infrastructure, and public sector reform. Respondents were also asked to indicate the areas in which Botswana would benefit most from the Bank play a leading role, the areas where Botswana should receive little to no resources from the Bank, and areas that should be left to the Government to manage without the Bank's support.

G. Communication and Information Sharing: Respondents were asked to indicate how they get information about economic and social development issues, how they prefer to receive information from the Bank, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked about their level of agreement that they know how to find information from the Bank, that the Bank's websites are easy to navigate and useful, and that the Bank is responsive to information requests. Respondents were also asked to indicate whether they primarily use the Bank's country website or the Bank's main website, which Internet connection they primarily use when visiting a Bank website, and whether they use/have used the Public Information Centers in Botswana.

H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in Botswana, and their geographic location.

Response rate

A total of 241 stakeholders participated in the survey (80% response rate).

Abstract

Statistics Botswana’s endeavour to reduce the intervals of the labour force and poverty surveys to five (5) years though an improvement, coincided with heightened need for more frequent data by stakeholders, rendering the five (5) year interval insufficient. Specifically, the Human Resource Council (HRDC) and Poverty Eradication Coordination Unit (PECU) of the Office of the President (OP) expressed to Statistics Botswana their need for annual labour market indicators and Poverty indicators, respectively.

In a holistic response to the ever increasing needs by stakeholders for more frequent data, Statistics Botswana decided to combine the Labour Force Survey (LFS) and Botswana Core Welfare Indicators Survey (BCWIS) planned for 2015/16 into one (1) Multi-Topic Household Survey. The combined LFS and BCWIS, from henceforth called the Botswana Multi Topic Household Survey (BMTHS) is the baseline survey that will provide indicators on various topics, and lay the foundation for annual surveys, with BCWIS and LFS modules forming the foundation upon which other topics’ modules will be rotated as per the stakeholder needs.

Justification: The information generated from BMTHS, will, amongst others, be used for policy formulation and programming for National Development Plans, National Vision and Post 2015 development agenda. Key areas that will benefit from the BMTHS information will be poverty eradication and job creation by utilizing information on poverty and labour force.

Evidence-based decision making, policy-making, planning and administration: Poverty Eradication, Employment Creation and Improvement of Skills base have been identified by government among a set of national priorities from 2015/16 going forward. For government to deliver on the national priorities there is need for indicators to inform policy formulation and programming. To this end, BMTHS information will be useful to ensure evidence based decision making on national priorities.

Research: Being a multi topic survey, BMTHS will provide a wealth of information that will allow for multivariate analysis, to further generate increased knowledge on various aspects of relevant policies, leading to robust policy documents and research material. This will lead to an interactive live policy space supported by continuous flow of information, which allows for rotation of modules as per the needs of the stakeholders.

Objective of the Survey: The primary objective of the 2015/16 BMTHS is to provide a comprehensive set of indicators for poverty and labour market. The set of indicators derived from the BMTHS will provide baseline information that will be tracked on an annual base to inform the Poverty Eradication Strategy and poverty eradication programmes implemented by various stakeholders, and the labour market indicators required by stakeholders responsible for manpower and skills planning like the Human Statistics Botswana plans to have the 2015/16 BMTHS as a launch pad for the Continuous Botswana Multi-Topic Household Survey (CBMTHS), which will be responsive to immediate stakeholder data needs, by rotating modules on topics as prioritised by stakeholder needs. The ultimate objective of the BMTHS is to produce a high frequency programme of household surveys that is predictable, flexible and amenable to the ever increasing and changing data needs for government, private sector, planners and researchers. The BMTHS provides a permanent platform for the collection of socio-economic data.

Specific Survey Objectives: The BMTHS provides more frequent, stakeholder specific data that enable policy makers and planners to use real time data in formulation of policies and programmes. The continuous (yearly) nature of the BMTHS will allow for close monitoring of programmes, ensuring timely interventions and programme/policy fine tuning. This will lead to robust, responsive relevant programmes that would ultimately improve on the livelihoods of Batswana and the economy. Savings on the development budget would be realized due to effective informed policies and programmes.

The BMTHS is set out to: • Provide socio-demographics of the Botswana population • Provide poverty datum line (PDL) in the country • Provide a list of indicators that monitor poverty • Provide disaggregated information on poverty levels for monitoring and evaluation of eradication programmes on more regular basis • Continuously provide profiles of poor households • Profile the poor to assist stakeholders identify the poor among the population • Provide household expenditure information to be used in re-basing of Consumer Price Index • Measures of both current and usual economic activity • Obtain a measure of the size of employment in both formal and informal sectors • Measure of unemployment and underemployment • Determine the size of economically active and inactive population • Provide information on education attainment, occupation and employment status • Determine the impact of education and health among on poor population • Determine the impact of agriculture among the poor population

Geographic coverage

• National coverage
• Districts: 27 census districts
• Cities/ towns, urban villages and rural areas

Analysis unit

• Individuals
• Households

Universe

The survey only targeted households in all districts and sub-districts. It did not cover institutions such as Prisons, Army Barracks, Hospitals and other institutions.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Botswana Multi-Topic Household Survey like most national surveys, employed a two stage stratified sampling design. The procedure was made plausible by the existing stratification of twentyseven (27) census districts which are heterogeneous in nature and are aligned to administrative districts. In this structure, the census districts were further grouped into three (3) domains, being; cities/ towns, urban villages and rural areas.

The survey only targeted households in all districts and sub-districts. It did not cover institutions such as prisons, army barracks, hospitals and other institutions because the survey was meant to investigate poverty and employment levels at households and individual level. In light of the above, the first stage was the selection of Enumeration Areas (EAs) as Primary Sampling Units (PSUs) with Probability Proportional to Size (PPS) where measure of size is the number of households in an EA as defined in the 2011 Population & Housing Census. This yielded 599 Enumeration Areas.

In the second stage, households were the Secondary Sampling Units (SSUs) and were systematically selected from the listed households in the selected EA’s (PSUs). This yielded 7,188 households. Based on the estimated number of households, 25,130 persons were expected to participate in the 2015/16 BMTHS survey.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Data processing started upon completion of the fieldwork. The process took more time than anticipated due to challenges of incomplete data entry from the field which needed to be verified in the office. For example, data entry mainly for diaries, and some of the household questionnaires had to be completed in the office; some of the data conversions were effected in the hardcopies only and not reflected in the system; conversions of food quantities (in the diaries) into standard measurement units had to be done in the office; missing codes (COICOP, industry and occupation codes) also had to be assigned to appropriate items.

Response rate

Out of 7,188 selected households 7,060 households participated in the survey yielding a response rate of 98.2 percent.

Income share held by lowest 20% of Botswana leapt by 12.12% from 3.30 % in 2009 to 3.70 % in 2015. Since the 12.90% drop in 2002, income share held by lowest 20% rocketed by 37.04% in 2015. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.

Botswana BW: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data was reported at 59.100 % in 2015. This records an increase from the previous number of 55.800 % for 2009. Botswana BW: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data is updated yearly, averaging 65.300 % from Dec 1985 (Median) to 2015, with 5 observations. The data reached an all-time high of 80.600 % in 1985 and a record low of 55.800 % in 2009. Botswana BW: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

3.70 (%) in 2015. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.

Botswana BW: Poverty Gap at $3.20 a Day: 2011 PPP: % data was reported at 12.900 % in 2015. This records a decrease from the previous number of 13.800 % for 2009. Botswana BW: Poverty Gap at $3.20 a Day: 2011 PPP: % data is updated yearly, averaging 22.400 % from Dec 1985 (Median) to 2015, with 5 observations. The data reached an all-time high of 31.400 % in 1985 and a record low of 12.900 % in 2015. Botswana BW: Poverty Gap at $3.20 a Day: 2011 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Botswana – Table BW.World Bank.WDI: Social: Poverty and Inequality. Poverty gap at $3.20 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $3.20 a day (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence.; ; World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).