Venezuela Population: Projection data was reported at 34,090,650.000 Person in 2024. This records an increase from the previous number of 33,728,624.000 Person for 2023. Venezuela Population: Projection data is updated yearly, averaging 27,272,712.000 Person from Jun 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 34,090,650.000 Person in 2024 and a record low of 19,734,723.000 Person in 1990. Venezuela Population: Projection data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Venezuela – Table VE.G001: Population. National Institute of Statistics provides Population projection based on 2001 census for 1990-1999 data and 2011 census for 2000-latest data.

This statistic shows the number of students enrolled in universities in Venezuela from 2000 to 2015. In 2015, more than **** million students were enrolled in Venezuelan universities, up from ***** thousand in 2000. Venezuelan population was estimated at ***** million people in 2015.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.


Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App.
The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):

- Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
-Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
-Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
-Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020.
-Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019).

Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.

Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

Venezuela VE: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 0.741 % in 2010. This records a decrease from the previous number of 0.786 % for 2000. Venezuela VE: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 0.778 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 0.786 % in 2000 and a record low of 0.741 % in 2010. Venezuela VE: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank.WDI: Land Use, Protected Areas and National Wealth. Rural population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted average;

This dataset provides many demographic and social figures on topics such as health, education and family life for 2000. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. -1 is used for no value available.

Venezuela VE: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total Population data was reported at 1.755 % in 2010. This records an increase from the previous number of 1.702 % for 2000. Venezuela VE: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total Population data is updated yearly, averaging 1.702 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 1.755 % in 2010 and a record low of 1.573 % in 1990. Venezuela VE: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank: Land Use, Protected Areas and National Wealth. Urban population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted Average;

Venezuela VE: Prevalence of Undernourishment: % of Population data was reported at 11.700 % in 2016. This records an increase from the previous number of 9.800 % for 2015. Venezuela VE: Prevalence of Undernourishment: % of Population data is updated yearly, averaging 8.400 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 16.800 % in 2002 and a record low of 3.100 % in 2010. Venezuela VE: Prevalence of Undernourishment: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank.WDI: Health Statistics. Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 5 may signify a prevalence of undernourishment below 5%.; ; Food and Agriculture Organization (http://www.fao.org/publications/en/).; Weighted average;

Information about persons of concern broken down by sex and age, as well as by location within the country of residence (where such information is available). Such data is available since 2000.

From 2017 to 2021, the share of households living under the poverty line in Venezuela has been surpassing 90 percent. In addition, more than six out of every ten households (67.97 percent) lived in extreme poverty in 2021. The overall household poverty rate in Venezuela has registered a steady growth from 2014 to 2019, after having remained relatively stable, below 40 percent, since 2005. Although poverty is widespread among the population as a whole, some groups are more vulnerable than others. That is the case of younger generations and particularly children: 98.03 percent of Venezuelans aged 15 or younger lived in poverty in 2021. An economy in disarray Venezuela, the country with the largest oil reserves in the world and whose economy has been largely dependent on oil revenues for decades, was once one of the most prosperous countries in Latin America. Today, hyperinflation and an astronomic public debt are only some of the many pressing concerns that affect the domestic economy. The socio-economic consequences of the crisis As a result of the economic recession, more than half of the population in every state in Venezuela lives in extreme poverty. This issue is particularly noteworthy in the states of Amazonas, Monagas, and Falcón, where the extreme poverty rate hovers over 80 percent. Such alarming levels of poverty, together with persistent food shortages, provoked a rapid increase in undernourishment, which was estimated at 17.9 percent between 2020 and 2022. The combination of humanitarian crisis, political turmoil and economic havoc led to the Venezuelan refugee and migrant crisis. As of 2020, more than five million Venezuelans had fled their home country, with neighboring Colombia being the main country of destination.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Venezuela. Power Plant emissions from all power plants in Venezuela were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information

Venezuela VE: People Practicing Open Defecation: % of Population data was reported at 4.862 % in 2015. This records a decrease from the previous number of 4.874 % for 2014. Venezuela VE: People Practicing Open Defecation: % of Population data is updated yearly, averaging 6.705 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 9.360 % in 2000 and a record low of 4.862 % in 2015. Venezuela VE: People Practicing Open Defecation: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;

This dataset provides many demographic and social figures on topics such as health, education and family life for 2006. The data was accessed form the website for the National Institute of Statistics for Venezuela. The data are available yearly for the Federal Entities (states) of Venezuela. Values of -1 represent no available data.

Abstract

In order to develop various methods of comparable data collection on health and health system responsiveness WHO started a scientific survey study in 2000-2001. This study has used a common survey instrument in nationally representative populations with modular structure for assessing health of indviduals in various domains, health system responsiveness, household health care expenditures, and additional modules in other areas such as adult mortality and health state valuations.

The health module of the survey instrument was based on selected domains of the International Classification of Functioning, Disability and Health (ICF) and was developed after a rigorous scientific review of various existing assessment instruments. The responsiveness module has been the result of ongoing work over the last 2 years that has involved international consultations with experts and key informants and has been informed by the scientific literature and pilot studies.

Questions on household expenditure and proportionate expenditure on health have been borrowed from existing surveys. The survey instrument has been developed in multiple languages using cognitive interviews and cultural applicability tests, stringent psychometric tests for reliability (i.e. test-retest reliability to demonstrate the stability of application) and most importantly, utilizing novel psychometric techniques for cross-population comparability.

The study was carried out in 61 countries completing 71 surveys because two different modes were intentionally used for comparison purposes in 10 countries. Surveys were conducted in different modes of in- person household 90 minute interviews in 14 countries; brief face-to-face interviews in 27 countries and computerized telephone interviews in 2 countries; and postal surveys in 28 countries. All samples were selected from nationally representative sampling frames with a known probability so as to make estimates based on general population parameters.

The survey study tested novel techniques to control the reporting bias between different groups of people in different cultures or demographic groups ( i.e. differential item functioning) so as to produce comparable estimates across cultures and groups. To achieve comparability, the selfreports of individuals of their own health were calibrated against well-known performance tests (i.e. self-report vision was measured against standard Snellen's visual acuity test) or against short descriptions in vignettes that marked known anchor points of difficulty (e.g. people with different levels of mobility such as a paraplegic person or an athlete who runs 4 km each day) so as to adjust the responses for comparability . The same method was also used for self-reports of individuals assessing responsiveness of their health systems where vignettes on different responsiveness domains describing different levels of responsiveness were used to calibrate the individual responses.

This data are useful in their own right to standardize indicators for different domains of health (such as cognition, mobility, self care, affect, usual activities, pain, social participation, etc.) but also provide a better measurement basis for assessing health of the populations in a comparable manner. The data from the surveys can be fed into composite measures such as "Healthy Life Expectancy" and improve the empirical data input for health information systems in different regions of the world. Data from the surveys were also useful to improve the measurement of the responsiveness of different health systems to the legitimate expectations of the population.

Kind of data

Sample survey data [ssd]

Sampling procedure

This was a stratified random multistage sample based on the following criteria: 1. By geographical population distribution, proportional to the population of the municipalities of the urban areas covered. 2. The sample distribution in each of the municipalities was based on the population size, the maximum number of interviews per municipality was 80 in the most inhabited municipality of Caracas and the minimum was two in several municipalities surrounding urban areas in other cities of the country. 3. Sample unit selection was dependent on social class. 4. The selected respondent within each sample unit was the one whose birthday was most recent to the date of the interview, with one call back. 5. Social class was dependent on the profile of each parish/municipality.

In addition the following social class classification criteria were used: - Type of neighbourhood - Education of head of household and spouse - Occupation of head of household

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Data Coding At each site the data was coded by investigators to indicate the respondent status and the selection of the modules for each respondent within the survey design. After the interview was edited by the supervisor and considered adequate it was entered locally.

Data Entry Program A data entry program was developed in WHO specifically for the survey study and provided to the sites. It was developed using a database program called the I-Shell (short for Interview Shell), a tool designed for easy development of computerized questionnaires and data entry (34). This program allows for easy data cleaning and processing.

The data entry program checked for inconsistencies and validated the entries in each field by checking for valid response categories and range checks. For example, the program didn’t accept an age greater than 120. For almost all of the variables there existed a range or a list of possible values that the program checked for.

In addition, the data was entered twice to capture other data entry errors. The data entry program was able to warn the user whenever a value that did not match the first entry was entered at the second data entry. In this case the program asked the user to resolve the conflict by choosing either the 1st or the 2nd data entry value to be able to continue. After the second data entry was completed successfully, the data entry program placed a mark in the database in order to enable the checking of whether this process had been completed for each and every case.

Data Transfer The data entry program was capable of exporting the data that was entered into one compressed database file which could be easily sent to WHO using email attachments or a file transfer program onto a secure server no matter how many cases were in the file. The sites were allowed the use of as many computers and as many data entry personnel as they wanted. Each computer used for this purpose produced one file and they were merged once they were delivered to WHO with the help of other programs that were built for automating the process. The sites sent the data periodically as they collected it enabling the checking procedures and preliminary analyses in the early stages of the data collection.

Data quality checks Once the data was received it was analyzed for missing information, invalid responses and representativeness. Inconsistencies were also noted and reported back to sites.

Data Cleaning and Feedback After receipt of cleaned data from sites, another program was run to check for missing information, incorrect information (e.g. wrong use of center codes), duplicated data, etc. The output of this program was fed back to sites regularly. Mainly, this consisted of cases with duplicate IDs, duplicate cases (where the data for two respondents with different IDs were identical), wrong country codes, missing age, sex, education and some other important variables.

In 2019, Venezuela’s estimated gross domestic product (GDP) per capita dropped to 2,624.41 U.S. dollars from 3,529.72 U.S. dollars the year before. the country's GDP has been on a continuous downswing for about a decade now - in 2010, it amounted to more than 11,000 U.S. dollars, and seemed to recover from a sudden slump again in 2016, before decreasing rapidly ever since. GDP per capita is a measurement of a country’s economic output that accounts for its number of people, thus making it a good measurement of a country’s standard of living.

A time of economic hardships

Currently, a major economic crisis is shaking Venezuela, resulting in hyperinflation, food and water shortages, and unemployment. Venezuela’s inflation rate has skyrocketed to over 900,000 percent in 2018, and the economy is suffering, with the Venezuelan GDP growth decreasing substantially each year since 2014.

A population affected by instability

In response to the economic and political climate, many are leaving the country for places such as Colombia, Peru, and Ecuador, with hopes for more stability and better economic prospects. Due in part to this, Venezuela’s population growth has decreased consistently over the last five years: In 2019, the country’s population was around 28 million inhabitants - a figure that is estimated to decrease further in the future.

Venezuela Percentage of Population Exposure to Wildfires data was reported at 41.350 % in 2020. This records an increase from the previous number of 21.170 % for 2019. Venezuela Percentage of Population Exposure to Wildfires data is updated yearly, averaging 16.970 % from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 41.350 % in 2020 and a record low of 5.270 % in 2012. Venezuela Percentage of Population Exposure to Wildfires data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Venezuela – Table VE.OECD.GGI: Social: Air Quality and Health: Non OECD Member: Annual.

Venezuela VE: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data was reported at 97.740 % in 2015. This stayed constant from the previous number of 97.740 % for 2014. Venezuela VE: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 95.331 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 97.740 % in 2015 and a record low of 92.036 % in 2000. Venezuela VE: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank.WDI: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;

Due to the recent hyperinflation crisis in Venezuela, the average inflation rate in Venezuela is estimated to be around 225 percent in 2026. However, this is well below the peak of 63,000 percent observed in 2018.What is hyperinflation?In short, hyperinflation is a very high inflation rate that accelerates quickly. It can be caused by a government printing huge amounts of new money to pay for its expenses. The subsequent rapid increase of prices causes the country’s currency to lose value and shortages in goods to occur. People then typically start hoarding goods, which become even more scarce and expensive, money becomes worthless, financial institutions go bankrupt, and eventually, the country’s economy collapses. The Venezuelan descent into hyperinflationIn Venezuela, the economic catastrophe began with government price controls and plummeting oil prices, which caused state-run oil companies to go bankrupt. The government then starting printing new money to cope, thus prices rose rapidly, unemployment increased, and GDP collapsed, all of which was exacerbated by international sanctions. Today, many Venezuelans are emigrating to find work and supplies elsewhere, and population growth is at a decade-low. Current president Nicolás Maduro does not seem inclined to steer away from his course of price controls and economic mismanagement, so the standard of living in the country is not expected to improve significantly anytime soon.

La popolazione totale in Venezuela è stata stimata a 34,1 milioni di persone nel 2024, secondo le ultime cifre del censimento e le proiezioni di Trading Economics. Questa pagina fornisce - Popolazione del Venezuela - valori attuali, dati storici, previsioni, grafico, statistiche, calendario economico e notizie.

Venezuela VE: People Using At Least Basic Drinking Water Services: % of Population data was reported at 97.417 % in 2015. This records an increase from the previous number of 97.411 % for 2014. Venezuela VE: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 96.867 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 97.417 % in 2015 and a record low of 96.062 % in 2000. Venezuela VE: People Using At Least Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank.WDI: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;

Venezuela VE: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 2.260 % in 2015. This stayed constant from the previous number of 2.260 % for 2014. Venezuela VE: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 3.435 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 5.037 % in 2000 and a record low of 2.260 % in 2015. Venezuela VE: People Practicing Open Defecation: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;