From 2000 to 2018, the percentage of Haitian workers below the international poverty line showed a downward trend, falling from approximately 31 percent to 25 percent. By 2024, this rate had increased to 31 percent.

Poverty rate at $1.9 a day of Haiti plummeted by 46.21% from 75.10 % in 2001 to 40.40 % in 2012. Since the 46.21% drop in 2012, poverty rate at $1.9 a day remained constant by 0.00% in 2012. 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.

Haiti HT: Poverty Gap at $1.90 a Day: 2011 PPP: % data was reported at 7.500 % in 2012. Haiti HT: Poverty Gap at $1.90 a Day: 2011 PPP: % data is updated yearly, averaging 7.500 % from Dec 2012 (Median) to 2012, with 1 observations. Haiti HT: 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 Haiti – Table HT.World Bank: Poverty. 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, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Despite a decline in both monetary and multidimensional poverty rates since 2000, Haiti remains among the poorest and most unequal countries in Latin America. Two years after the 2010 earthquake, poverty was still high, particularly in rural areas. This report establishes that in 2012 more than one in two Haitians was poor, living on less than $ 2.41 a day, and one person in four was living below the national extreme poverty line of $1.23 a day. Extreme poverty declined from 31 to 24 percent between 2000 and 2012, and there have been some gains in access to education and sanitation, although access to basic services is generally low and is characterized by important inequalities. Urban areas have fared relatively better than rural areas, reflecting more nonagricultural employment opportunities, larger private transfers, more access to critical goods, and services and narrowing inequality compared to rural areas. Continued advances in reducing both extreme and moderate poverty will require greater, more broad-based growth, but also a concerted focus on increasing the capacity of the poor and vulnerable to accumulate assets, generate income, and better protect their livelihoods from shocks. Special attention should be given to vulnerable groups such as women and children and to rural areas, which are home to over half of the population and where extreme poverty persists, and income inequality is increasing.

In 2023, around six percent of households in Haiti reported no educational diploma at all. Another 32 percent claimed to have a high school diploma as their highest degree.

The Living Conditions and Social Development Survey (LCSDS) aims to evaluate and monitor the economic and social conditions, as well as poverty levels, in the communes near the Caracol Industrial Park (PIC). Located 25 km southeast of Cap-Haïtien (Haiti’s second most populous city), the PIC is a flagship economic development initiative that, by 2017, had created 10,000 new jobs in the light manufacturing sector. Between 2001 and 2003, the Haitian Institute of Statistics and Informatics (IHSI) conducted its first and only comprehensive survey on living conditions. The purpose of that survey was to establish baseline development indicators on topics such as housing and infrastructure, demographics, migration, education, labor, health, household income, domestic and public life, and agriculture. No similar comprehensive survey on living conditions has been conducted since. The LCSDS adapted the IHSI’s 2001-2003 survey questionnaire, adding specific modules on perceptions and opinions about the PIC and associated changes in the area. The survey was conducted between 2014 and 2015 as part of the implementation of the Emerging and Sustainable Cities Initiative in Northern Haiti.

Haiti HT: Poverty Gap at $3.20 a Day: 2011 PPP: % data was reported at 19.200 % in 2012. Haiti HT: Poverty Gap at $3.20 a Day: 2011 PPP: % data is updated yearly, averaging 19.200 % from Dec 2012 (Median) to 2012, with 1 observations. Haiti HT: 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 Haiti – Table HT.World Bank.WDI: Poverty. 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, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Abstract

The DPHS in Cap-Haïtien was conducted in October and November 2018 in the metropolitan area of the city. The focus of the data collection was to capture information on exposure to flooding in Cap-Haïtien as well as household preparedness including access to early warning systems and the use of coping strategies.

The Poverty and Equity Global Practice designed, conducted, and managed the project in coordination with Global Practice of Urban, Resilience, and Land (GPURL). The Global Facility for Disaster Reduction and Recovery (GFDRR) financed the project. The Interuniversity Institute for Research and Development (INURED) carried out the data collection under World Bank supervision. The municipality of Cap-Haïtien also supported data collection.

Geographic coverage

Cap-Haïtien, Haiti.

Analysis unit

• Household
• Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

A stratified two-stage sampling strategy was applied to ensure the representativeness of the survey results. The sampling frame was constructed using the consumption aggregates from the 2012 Enquête sur les Conditions de Vie des Ménages après le Séisme (ECVMAS) collected by the Institut Haïtien de Statistique et d'Informatique (IHSI). The first stage identifies all applicable Primary Sampling Units (PSUs); and the second stage selects households within selected PSUs.

PSUs are categorized based on two spatial criteria: location the project area and location in areas with high flood risk. The project area in Cap-Haïtien refers to the areas benefiting from the Municipal Development and Urban Resilience project (MDUR, P155201). The high-risk areas are identified based on hazard maps and refer to areas with ‘moderate to high/strong’ and ‘strong to very strong’ risks of floods (Guillande, 2015). Based on these two criteria, four strata are constructed: project areas with high/moderate risk of floods; project areas with low/no risk of floods; non-project areas with high/moderate risk of floods; and non-project Areas with low/no risk of floods.

To calculate the probability of selection of households, WorldPop data is used to assign number of households per PSU. In the second stage, a listing of all households within a given PSU is conducted to determine the probability of household selection. By design, 120 PSUs were surveyed and 5 households per PSU were selected.

Weights are applied to ensure that the estimates obtained from the survey data are representative of the population of interest.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire contains twenty modules with questions at the household and individual level. The questionnaire is only available in French (although the data is translated and labeled in English).

At the household level, questions include housing characteristics, tenure status, and asset ownership. At the individual level, there are questions on education, employment, and unemployment. Additionally, questions on the ownership, use, and coverage of mobile phones are asked to the household head.

Questions on flooding impact, recovery and coping are asked at the household level. They include questions about the experience with frequent floods and perception of risk to future flooding. Impacts of flooding on housing, assets, consumption, access to public services and transport, work, education, and health are asked. Finally, questions on cooping strategy and awareness of emergency warning systems are also included.

Cleaning operations

The following data editing was done for anonymization purpose: - Precise location data, such as GPS coordinates, were dropped. - Identifying information, such as name and phone numbers were dropped. - Categories for type of dwelling were reduced from 7 to 4.

See the Technical Note for more details.

Haiti HT: Poverty Gap at $2.15 a Day: 2017 PPP: % data was reported at 10.100 % in 2012. Haiti HT: Poverty Gap at $2.15 a Day: 2017 PPP: % data is updated yearly, averaging 10.100 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 10.100 % in 2012 and a record low of 10.100 % in 2012. Haiti HT: Poverty Gap at $2.15 a Day: 2017 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank.WDI: Social: Poverty and Inequality. Poverty gap at $2.15 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $2.15 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 more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Haiti HT: Poverty Gap at $6.85 a Day: 2017 PPP: % data was reported at 47.700 % in 2012. Haiti HT: Poverty Gap at $6.85 a Day: 2017 PPP: % data is updated yearly, averaging 47.700 % from Dec 2012 (Median) to 2012, with 1 observations. The data reached an all-time high of 47.700 % in 2012 and a record low of 47.700 % in 2012. Haiti HT: Poverty Gap at $6.85 a Day: 2017 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank.WDI: Social: Poverty and Inequality. Poverty gap at $6.85 a day (2017 PPP) is the mean shortfall in income or consumption from the poverty line $6.85 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 more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Goal 1End poverty in all its forms everywhereTarget 1.1: By 2030, eradicate extreme poverty for all people everywhere, currently measured as people living on less than $1.25 a dayIndicator 1.1.1: Proportion of the population living below the international poverty line by sex, age, employment status and geographic location (urban/rural)SI_POV_DAY1: Proportion of population below international poverty line (%)SI_POV_EMP1: Employed population below international poverty line, by sex and age (%)Target 1.2: By 2030, 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 definitionsIndicator 1.2.1: Proportion of population living below the national poverty line, by sex and ageSI_POV_NAHC: Proportion of population living below the national poverty line (%)Indicator 1.2.2: Proportion of men, women and children of all ages living in poverty in all its dimensions according to national definitionsSD_MDP_MUHC: Proportion of population living in multidimensional poverty (%)SD_MDP_ANDI: Average proportion of deprivations for people multidimensionally poor (%)SD_MDP_MUHHC: Proportion of households living in multidimensional poverty (%)SD_MDP_CSMP: Proportion of children living in child-specific multidimensional poverty (%)Target 1.3: Implement nationally appropriate social protection systems and measures for all, including floors, and by 2030 achieve substantial coverage of the poor and the vulnerableIndicator 1.3.1: Proportion of population covered by social protection floors/systems, by sex, distinguishing children, unemployed persons, older persons, persons with disabilities, pregnant women, newborns, work-injury victims and the poor and the vulnerableSI_COV_MATNL: [ILO] Proportion of mothers with newborns receiving maternity cash benefit (%)SI_COV_POOR: [ILO] Proportion of poor population receiving social assistance cash benefit, by sex (%)SI_COV_SOCAST: [World Bank] Proportion of population covered by social assistance programs (%)SI_COV_SOCINS: [World Bank] Proportion of population covered by social insurance programs (%)SI_COV_CHLD: [ILO] Proportion of children/households receiving child/family cash benefit, by sex (%)SI_COV_UEMP: [ILO] Proportion of unemployed persons receiving unemployment cash benefit, by sex (%)SI_COV_VULN: [ILO] Proportion of vulnerable population receiving social assistance cash benefit, by sex (%)SI_COV_WKINJRY: [ILO] Proportion of employed population covered in the event of work injury, by sex (%)SI_COV_BENFTS: [ILO] Proportion of population covered by at least one social protection benefit, by sex (%)SI_COV_DISAB: [ILO] Proportion of population with severe disabilities receiving disability cash benefit, by sex (%)SI_COV_LMKT: [World Bank] Proportion of population covered by labour market programs (%)SI_COV_PENSN: [ILO] Proportion of population above statutory pensionable age receiving a pension, by sex (%)Target 1.4: By 2030, ensure that all men and women, in particular the poor and the vulnerable, have equal rights to economic resources, as well as access to basic services, ownership and control over land and other forms of property, inheritance, natural resources, appropriate new technology and financial services, including microfinanceIndicator 1.4.1: Proportion of population living in households with access to basic servicesSP_ACS_BSRVH2O: Proportion of population using basic drinking water services, by location (%)SP_ACS_BSRVSAN: Proportion of population using basic sanitation services, by location (%)Indicator 1.4.2: Proportion of total adult population with secure tenure rights to land, (a) with legally recognized documentation, and (b) who perceive their rights to land as secure, by sex and type of tenureSP_LGL_LNDDOC: Proportion of people with legally recognized documentation of their rights to land out of total adult population, by sex (%)SP_LGL_LNDSEC: Proportion of people who perceive their rights to land as secure out of total adult population, by sex (%)SP_LGL_LNDSTR: Proportion of people with secure tenure rights to land out of total adult population, by sex (%)Target 1.5: By 2030, build the resilience of the poor and those in vulnerable situations and reduce their exposure and vulnerability to climate-related extreme events and other economic, social and environmental shocks and disastersIndicator 1.5.1: Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 populationVC_DSR_MISS: Number of missing persons due to disaster (number)VC_DSR_AFFCT: Number of people affected by disaster (number)VC_DSR_MORT: Number of deaths due to disaster (number)VC_DSR_MTMP: Number of deaths and missing persons attributed to disasters per 100,000 population (number)VC_DSR_MMHN: Number of deaths and missing persons attributed to disasters (number)VC_DSR_DAFF: Number of directly affected persons attributed to disasters per 100,000 population (number)VC_DSR_IJILN: Number of injured or ill people attributed to disasters (number)VC_DSR_PDAN: Number of people whose damaged dwellings were attributed to disasters (number)VC_DSR_PDYN: Number of people whose destroyed dwellings were attributed to disasters (number)VC_DSR_PDLN: Number of people whose livelihoods were disrupted or destroyed, attributed to disasters (number)Indicator 1.5.2: Direct economic loss attributed to disasters in relation to global gross domestic product (GDP)VC_DSR_GDPLS: Direct economic loss attributed to disasters (current United States dollars)VC_DSR_LSGP: Direct economic loss attributed to disasters relative to GDP (%)VC_DSR_AGLH: Direct agriculture loss attributed to disasters (current United States dollars)VC_DSR_HOLH: Direct economic loss in the housing sector attributed to disasters (current United States dollars)VC_DSR_CILN: Direct economic loss resulting from damaged or destroyed critical infrastructure attributed to disasters (current United States dollars)VC_DSR_CHLN: Direct economic loss to cultural heritage damaged or destroyed attributed to disasters (millions of current United States dollars)VC_DSR_DDPA: Direct economic loss to other damaged or destroyed productive assets attributed to disasters (current United States dollars)Indicator 1.5.3: Number of countries that adopt and implement national disaster risk reduction strategies in line with the Sendai Framework for Disaster Risk Reduction 2015–2030SG_DSR_LGRGSR: Score of adoption and implementation of national DRR strategies in line with the Sendai FrameworkSG_DSR_SFDRR: Number of countries that reported having a National DRR Strategy which is aligned to the Sendai FrameworkIndicator 1.5.4: Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategiesSG_DSR_SILS: Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national disaster risk reduction strategies (%)SG_DSR_SILN: Number of local governments that adopt and implement local DRR strategies in line with national strategies (number)SG_GOV_LOGV: Number of local governments (number)Target 1.a: Ensure significant mobilization of resources from a variety of sources, including through enhanced development cooperation, in order to provide adequate and predictable means for developing countries, in particular least developed countries, to implement programmes and policies to end poverty in all its dimensionsIndicator 1.a.1: Total official development assistance grants from all donors that focus on poverty reduction as a share of the recipient country’s gross national incomeDC_ODA_POVLG: Official development assistance grants for poverty reduction, by recipient countries (percentage of GNI)DC_ODA_POVDLG: Official development assistance grants for poverty reduction, by donor countries (percentage of GNI)DC_ODA_POVG: Official development assistance grants for poverty reduction (percentage of GNI)Indicator 1.a.2: Proportion of total government spending on essential services (education, health and social protection)SD_XPD_ESED: Proportion of total government spending on essential services, education (%)Target 1.b: Create sound policy frameworks at the national, regional and international levels, based on pro-poor and gender-sensitive development strategies, to support accelerated investment in poverty eradication actionsIndicator 1.b.1: Pro-poor public social spending

The unemployment rate in Haiti was 15.06 percent in 2024. Between 1991 and 2024, the unemployment rate rose by 7.7 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

Haiti HT: Poverty Gap at $5.50 a Day: 2011 PPP: % data was reported at 38.300 % in 2012. Haiti HT: Poverty Gap at $5.50 a Day: 2011 PPP: % data is updated yearly, averaging 38.300 % from Dec 2012 (Median) to 2012, with 1 observations. Haiti HT: Poverty Gap at $5.50 a Day: 2011 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank: Poverty. Poverty gap at $5.50 a day (2011 PPP) is the mean shortfall in income or consumption from the poverty line $5.50 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, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Haiti HT: Poverty Headcount Ratio at $3.20 a Day: 2011 PPP: % of Population data was reported at 48.300 % in 2012. Haiti HT: Poverty Headcount Ratio at $3.20 a Day: 2011 PPP: % of Population data is updated yearly, averaging 48.300 % from Dec 2012 (Median) to 2012, with 1 observations. Haiti HT: 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 Haiti – Table HT.World Bank: Poverty. 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, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Characteristics of Haiti CVD cohort study.

Haiti HT: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data was reported at 77.600 % in 2012. Haiti HT: Poverty Headcount Ratio at $5.50 a Day: 2011 PPP: % of Population data is updated yearly, averaging 77.600 % from Dec 2012 (Median) to 2012, with 1 observations. Haiti HT: 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 Haiti – Table HT.World Bank: Poverty. 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, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. The aggregated numbers for low- and middle-income countries correspond to the totals of 6 regions in PovcalNet, which include low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia). See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

Haiti HT: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data was reported at 58.000 % in 2017. This records a decrease from the previous number of 59.500 % for 2016. Haiti HT: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 58.150 % from Dec 2012 (Median) to 2017, with 6 observations. The data reached an all-time high of 59.500 % in 2016 and a record low of 57.100 % in 2012. Haiti HT: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank: Health Statistics. The proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $1.25 PPP/day).; ; The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/); Weighted Average;

（停止更新）人口被推低至3.20美元以下的比例：自付医保贫困线：2011年购买力平价：百分比在12-01-2013达4.080%，相较于12-01-2012的1.806%有所增长。（停止更新）人口被推低至3.20美元以下的比例：自付医保贫困线：2011年购买力平价：百分比数据按年更新，12-01-2012至12-01-2013期间平均值为2.943%，共2份观测结果。该数据的历史最高值出现于12-01-2013，达4.080%，而历史最低值则出现于12-01-2012，为1.806%。CEIC提供的（停止更新）人口被推低至3.20美元以下的比例：自付医保贫困线：2011年购买力平价：百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的海地 – Table HT.World Bank.WDI: Social: Poverty and Inequality。