Historical dataset showing Guatemala poverty rate by year from 1986 to 2023.

Guatemala: Poverty, percent of population: The latest value from 2023 is 56 percent, a decline from 59.3 percent in 2014. In comparison, the world average is 23.93 percent, based on data from 38 countries. Historically, the average for Guatemala from 2000 to 2023 is 55.58 percent. The minimum value, 51 percent, was reached in 2006 while the maximum of 59.3 percent was recorded in 2014.

In 2023, the share of population living on less than 3.20 U.S. dollars per day in Guatemala stood at 17.6 percent. Between 1986 and 2023, the figure dropped by 43 percentage points, though the decline followed an uneven course rather than a steady trajectory.

24,4 (%) in 2014. 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.

Guatemala: Poverty ratio, percent living on less than 5.50 USD a day: The latest value from 2023 is 47.3 percent, an increase from 44.8 percent in 2014. In comparison, the world average is 19.18 percent, based on data from 53 countries. Historically, the average for Guatemala from 1986 to 2023 is 53.41 percent. The minimum value, 40.2 percent, was reached in 2006 while the maximum of 83 percent was recorded in 1986.

GT: Multidimensional Poverty Headcount Ratio: Children: % of population aged 0-17 data was reported at 67.920 % in 2014. GT: Multidimensional Poverty Headcount Ratio: Children: % of population aged 0-17 data is updated yearly, averaging 67.920 % from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 67.920 % in 2014 and a record low of 67.920 % in 2014. GT: Multidimensional Poverty Headcount Ratio: Children: % of population aged 0-17 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: Social: Poverty and Inequality. ;Government statistical agencies. Data for EU countires are from the EUROSTAT;;

Proportion of Population Pushed Below the $3.65: Poverty Line by Out-of-Pocket Health Care Expenditure: 2017 PPP: % data was reported at 2.290 % in 2014. This records an increase from the previous number of 0.980 % for 2011. Proportion of Population Pushed Below the $3.65: Poverty Line by Out-of-Pocket Health Care Expenditure: 2017 PPP: % data is updated yearly, averaging 0.980 % from Dec 2000 (Median) to 2014, with 3 observations. The data reached an all-time high of 2.290 % in 2014 and a record low of 0.810 % in 2000. Proportion of Population Pushed Below the $3.65: Poverty Line by Out-of-Pocket Health Care Expenditure: 2017 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: Social: Poverty and Inequality. This indicator shows the fraction of a country’s population experiencing out-of-pocket health impoverishing expenditures, defined as expenditures without which the household they live in would have been above the $3.65 poverty line, but because of the expenditures is below the poverty line. Out-of-pocket health expenditure is defined as any spending incurred by a household when any member uses a health good or service to receive any type of care (preventive, curative, rehabilitative, long-term or palliative care); provided by any type of provider; for any type of disease, illness or health condition; in any type of setting (outpatient, inpatient, at home).;Global Health Observatory, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/topics/financial-protection;Weighted average;

Guatemala: Poverty ratio, percent living on less than 1.90 USD a day: The latest value from 2023 is 9.7 percent, an increase from 8 percent in 2014. In comparison, the world average is 2.93 percent, based on data from 53 countries. Historically, the average for Guatemala from 1986 to 2023 is 18.99 percent. The minimum value, 8 percent, was reached in 2014 while the maximum of 47.4 percent was recorded in 1986.

Guatemala: Poverty, percent of population: Pour cet indicateur, La Banque mondiale fournit des données pour la Guatemala de 2000 à 2023. La valeur moyenne pour Guatemala pendant cette période était de 55.58 pour cent avec un minimum de 51 pour cent en 2006 et un maximum de 59.3 pour cent en 2014.

GT: Multidimensional Poverty Headcount Ratio: Female: % of female population data was reported at 60.650 % in 2014. GT: Multidimensional Poverty Headcount Ratio: Female: % of female population data is updated yearly, averaging 60.650 % from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 60.650 % in 2014 and a record low of 60.650 % in 2014. GT: Multidimensional Poverty Headcount Ratio: Female: % of female population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: Social: Poverty and Inequality. ;Government statistical agencies. Data for EU countires are from the EUROSTAT;;

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

Guatemala: Poverty ratio, percent living on less than 1.90 USD a day: Pour cet indicateur, La Banque mondiale fournit des données pour la Guatemala de 1986 à 2023. La valeur moyenne pour Guatemala pendant cette période était de 18.99 pour cent avec un minimum de 8 pour cent en 2014 et un maximum de 47.4 pour cent en 1986.

Abstract

The World Bank is interested in gauging the views of clients and partners who are either involved in development in Guatemala 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 Guatemala, 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 Guatemala. The World Bank commissioned an independent firm to oversee the logistics of this effort in Guatemala.

This survey was designed to achieve the following objectives: - Assist the World Bank in gaining a better understanding of how stakeholders in Guatemala perceive the Bank;

• Obtain systematic feedback from stakeholders in Guatemala regarding: · Their views regarding the general environment in Guatemala; · Their overall attitudes toward the World Bank in Guatemala; · Overall impressions of the World Bank's effectiveness and results, knowledge and research, and communication and information sharing in Guatemala; and · Perceptions of the World Bank's future role in Guatemala.

• Use data to help inform the Guatemala country team's strategy.

Geographic coverage

National

Analysis unit

Stakeholder

Universe

Stakeholders of the World Bank in Guatemala

Kind of data

Sample survey data [ssd]

Sampling procedure

In July 2012, 90 stakeholders of the World Bank in Guatemala 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 among the office of the President or Prime Minister, the office of a Minister, the office of a Parliamentarian; employees of a ministry, ministerial department, or implementation agency; consultants/contractors working on World Bank supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff; bilateral agencies; multilateral agencies; private sector organizations; private foundations; the financial sector/private banks; NGOs; community- based organizations; the media; independent government institutions; trade unions; faith-based groups; academia, research institutes or think tanks; and the judiciary branch.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The Questionnaire consists of 8 Sections:

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

B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in Guatemala, Bank staff preparedness, the extent to which the Bank should seek to influence the global development agenda, their agreement with various statements regarding the Bank's work in Guatemala, and the extent to which the Bank is an effective development partner. Respondents were also asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank's greatest values and greatest weaknesses in its work, the most and least effective instruments in helping to reduce poverty in Guatemala, with which groups the Bank should work more, and to what reasons respondents attributed failed or slow reform efforts.

C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve sustainable development results in Guatemala, the Bank's level of effectiveness across thirty-six development areas, such as economic growth, and the extent to which the Bank meets Guatemala's need for knowledge services, financial instruments, and mobilizing additional financial resources for development.

D. The World Bank's Knowledge: Respondents were asked to indicate how frequently they consult Bank knowledge/research, the areas on which the Bank should focus its research efforts, and to rate the effectiveness and quality of the Bank's knowledge/research, including how significant of a contribution the Bank's knowledge/research make to development results, the technical quality of the Bank's knowledge/research, and the Bank's effectiveness at providing linkage to non-Bank expertise.

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, working with the World Bank increasing Guatemala's institutional capacity, and the Bank disbursing funds promptly.

F. The Future Role of the World Bank in Guatemala: Respondents were asked to rate how significant a role the Bank should play in Guatemala's development and to indicate what the Bank should do to make itself of greater value in Guatemala. Respondents were also asked to rate their familiarity with the IFC, how effectively the various parts of the Bank collaborate, and how significant a role the IFC should play in Guatemala's development.

G. Communication and Information Sharing: Respondents were asked to indicate where they get information about economic and social development issues, how they prefer to receive information from the Bank, their access to the Internet, and their usage and evaluation of the Bank's website and PICs. 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 their level of agreement that they know how to find information from the Bank and that the Bank is responsive to information requests.

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 Guatemala, and their geographic location.

Response rate

A total of 62 stakeholders participated in the country survey (69%).

GT: Multidimensional Poverty Index: scale 0-1 data was reported at 0.299 NA in 2014. GT: Multidimensional Poverty Index: scale 0-1 data is updated yearly, averaging 0.299 NA from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 0.299 NA in 2014 and a record low of 0.299 NA in 2014. GT: Multidimensional Poverty Index: scale 0-1 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: Social: Poverty and Inequality. ;Government statistical agencies. Data for EU countires are from the EUROSTAT;;

GT: Multidimensional Poverty Headcount Ratio: Male: % of male population data was reported at 62.640 % in 2014. GT: Multidimensional Poverty Headcount Ratio: Male: % of male population data is updated yearly, averaging 62.640 % from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 62.640 % in 2014 and a record low of 62.640 % in 2014. GT: Multidimensional Poverty Headcount Ratio: Male: % of male population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: Social: Poverty and Inequality. ;Government statistical agencies. Data for EU countires are from the EUROSTAT;;

countries capital city Guatemala city. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

GT: Multidimensional Poverty Headcount Ratio: % of total population data was reported at 61.620 % in 2014. GT: Multidimensional Poverty Headcount Ratio: % of total population data is updated yearly, averaging 61.620 % from Dec 2014 (Median) to 2014, with 1 observations. The data reached an all-time high of 61.620 % in 2014 and a record low of 61.620 % in 2014. GT: Multidimensional Poverty Headcount Ratio: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: Social: Poverty and Inequality. ;Government statistical agencies. Data for EU countires are from the EUROSTAT;;

This dataset measures food availability and access for 76 low- and middle-income countries. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources. This dataset is the basis for the International Food Security Assessment 2015-2025 released in June 2015. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. Countries (Spatial Description, continued): Democratic Republic of the Congo, Ecuador, Egypt, El Salvador, Eritrea, Ethiopia, Gambia, Georgia, Ghana, Guatemala, Guinea, Guinea-Bissau, Haiti, Honduras, India, Indonesia, Jamaica, Kenya, Kyrgyzstan, Laos, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Moldova, Mongolia, Morocco, Mozambique, Namibia, Nepal, Nicaragua, Niger, Nigeria, North Korea, Pakistan, Peru, Philippines, Rwanda, Senegal, Sierra Leone, Somalia, Sri Lanka, Sudan, Swaziland, Tajikistan, Tanzania, Togo, Tunisia, Turkmenistan, Uganda, Uzbekistan, Vietnam, Yemen, Zambia, and Zimbabwe. Resources in this dataset:Resource Title: CSV File for all years and all countries. File Name: gfa25.csvResource Title: International Food Security country data. File Name: GrainDemandProduction.xlsxResource Description: Excel files of individual country data. Please note that these files provide the data in a different layout from the CSV file. This version of the data files was updated 9-2-2021

More up-to-date files may be found at: https://www.ers.usda.gov/data-products/international-food-security.aspx

。（停止更新）多维贫困率：男性：男性占总人口百分比数据按年更新，12-01-2014至12-01-2014期间平均值为62.640%，共1份观测结果。该数据的历史最高值出现于12-01-2014，达62.640%，而历史最低值则出现于12-01-2014，为62.640%。CEIC提供的（停止更新）多维贫困率：男性：男性占总人口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危地马拉 – Table GT.World Bank.WDI: Social: Poverty and Inequality。