As of February 2020, more than *** out of ten Colombians lived in a household with at least **** people, according to a survey carried out in the country. More than ** percent of respondents lived in a household with more than **** people. Meanwhile, roughly *** percent of Colombians surveyed lived alone, in a single-person household.

Colombia Number of Household: Projection: Quindio: Urban data was reported at 186,849.000 Unit th in 2024. This records an increase from the previous number of 182,525.000 Unit th for 2023. Colombia Number of Household: Projection: Quindio: Urban data is updated yearly, averaging 136,926.500 Unit th from Dec 1993 (Median) to 2024, with 32 observations. The data reached an all-time high of 186,849.000 Unit th in 2024 and a record low of 101,114.000 Unit th in 1993. Colombia Number of Household: Projection: Quindio: Urban data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.H028: Number of Household.

A survey conducted in 2023 found that **** percent of households in Colombia had access to the Internet. The country has a gap in its internet penetration which, despite decreasing, has ** percent of respondents residing in capital cities having access to the web against **** percent of those living in dispersed villages and rural centers. Valle and Bogotá had the highest penetration rates, while less than ** percent of households in the departments of Chocó, Vaupés, and Vichada had access to the Internet.

Abstract

The FAO has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). The FAO launched a round 3 of data collection in Colombia between 22 July and 22 August 2022. Data were conducted through face-to-face interviews in ten departments of Colombia: Antioquia, Arauca, Bolívar, Boyacá, Cesar, Chocó, Córdoba, La Guajira, Nariño and Putumayo. A total of 3240 households were surveyed, 324 rural households in each department. For more information, please go to https://data-in-emergencies.fao.org/pages/monitoring

Geographic coverage

National coverage

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

Two-stage sampling was applied – cluster sampling based on the geostatistical sample frame provided by the government of Colombia, followed by simple random sampling to ensure that all households in the targeted cluster had an equal chance of being selected. A quota was not applied to sub-groups of interest at the regional level and no weights were needed for population sub-groups by activity type. The surveyed agricultural households were not represented in the sample. Therefore, the crop and livestock sections should be considered descriptive, not representative.

Mode of data collection

Face-to-face paper [f2f]

Research instrument

A link to the questionnaire has been provided in the documentations tab.

Cleaning operations

The datasets have been edited and processed for analysis by the Needs Assessment team at the Office of Emergency and Resilience, FAO, with some dashboards and visualizations produced. For more information, see https://data-in-emergencies.fao.org/pages/countries.

Households Debt in Colombia decreased to 25.69 percent of GDP in the fourth quarter of 2024 from 26.03 percent of GDP in the third quarter of 2024. This dataset provides - Colombia Households Debt To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2018, nearly ** percent of Colombian households were equipped in a stove (electric or gas). Less than **** percent of all households had air conditioning.

In 2022, more **** percent of Colombian households had access to electricity, an increase in comparison to the previous years. In urban areas of municipal districts, nearly the entire population had access to this service, while in populated and sparse rural areas, it reached around ** percent of the population.

Key information about Colombia Household Debt: % of GDP

• Colombia household debt accounted for 31.3 % of the country's Nominal GDP in Jun 2024, compared with the ratio of 31.8 % in the previous quarter.
• Colombia household debt to GDP ratio is updated quarterly, available from Dec 2015 to Jun 2024.
• The data reached an all-time high of 39.7 % in Mar 2021 and a record low of 31.1 % in Mar 2016.

CEIC calculates quarterly Household Debt as % of Nominal GDP from quarterly Household Debt and quarterly Nominal GDP. The Bank of the Republic of Colombia provides Household Debt in local currency. National Administrative Department of Statistics provides Nominal GDP in local currency.


Related information about Colombia Household Debt: % of GDP

• In the latest reports, Colombia Household Debt reached 71.2 USD bn in Nov 2024.
• Money Supply M2 in Colombia increased 8.6 % YoY in Dec 2024.
• Colombia Foreign Exchange Reserves was measured at 57.6 USD bn in Dec 2024.
• The Foreign Exchange Reserves equaled 10.2 Months of Import in Dec 2024.
• Colombia Domestic Credit reached 208.9 USD bn in Jul 2024, representing an increased of 6.3 % YoY.
• The country's Non Performing Loans Ratio stood at 5.0 % in Nov 2024, compared with the ratio of 5.0 % in the previous month.

Key information about Colombia Household Debt

• Colombia Household Debt reached 71.5 USD bn in Dec 2024, compared with the reported number of 71.2 USD bn in the previous month
• Colombia Household Debt: USD mn data is updated monthly, available from Apr 1995 to Dec 2024
• The data reached an all-time high of 82.0 USD bn in Dec 2023 and a record low of 6.5 USD bn in Feb 2003

CEIC converts monthly Household Debt into USD. The Financial Superintendence of Colombia provides Household Debt in local currency. The Bank of the Republic of Colombia period end market exchange rate is used for currency conversions. Loans are used due to the lack of Flow of Funds statistics. Household Debt includes Mortgages and Consumer Loan


Further information about Colombia Household Debt

• In the latest reports, Colombia Household Debt accounted for 31.3 % of the country's Nominal GDP in Jun 2024
• Money Supply M2 in Colombia increased 161.2 USD bn YoY in May 2023
• Colombia Foreign Exchange Reserves was measured at 57.6 USD bn in Dec 2024
• The Foreign Exchange Reserves equaled 10.2 Months of Import in Dec 2024
• Colombia Domestic Credit reached 208.9 USD bn in Jul 2024, representing an increased of 6.3 % YoY

Colombia CO: GDP: Growth: Household Final Consumption Expenditure per Capita data was reported at -0.281 % in 2023. This records a decrease from the previous number of 9.508 % for 2022. Colombia CO: GDP: Growth: Household Final Consumption Expenditure per Capita data is updated yearly, averaging 2.000 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 13.473 % in 2021 and a record low of -7.027 % in 1999. Colombia CO: GDP: Growth: Household Final Consumption Expenditure per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2010 prices and World Bank population estimates. Household final consumption expenditure (private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

This statistic displays the share of households in Colombia that own a computer equipment in 2018, broken down by region. According to data, in 2018, Bogota presented the highest share (**** percent) of households owning a personal computer (PC).

Households and NPISHs Final consumption expenditure (annual % growth) in Colombia was reported at 1.5849 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Colombia - Household final consumption expenditure (annual % growth) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Households and NPISHs Final consumption expenditure, PPP (current international $) in Colombia was reported at 761208505737 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Colombia - Household final consumption expenditure, PPP (current international $) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Colombia Number of Household: Projection: Choco data was reported at 183,837.000 Unit th in 2024. This records an increase from the previous number of 179,373.000 Unit th for 2023. Colombia Number of Household: Projection: Choco data is updated yearly, averaging 106,936.000 Unit th from Dec 1993 (Median) to 2024, with 32 observations. The data reached an all-time high of 183,837.000 Unit th in 2024 and a record low of 52,825.000 Unit th in 1993. Colombia Number of Household: Projection: Choco data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.H028: Number of Household.

Colombia: Household consumption, billion USD: The latest value from 2023 is 277.94 billion U.S. dollars, an increase from 255.08 billion U.S. dollars in 2022. In comparison, the world average is 380.52 billion U.S. dollars, based on data from 146 countries. Historically, the average for Colombia from 1960 to 2023 is 79.55 billion U.S. dollars. The minimum value, 2.94 billion U.S. dollars, was reached in 1960 while the maximum of 277.94 billion U.S. dollars was recorded in 2023.

Abstract

The STEP (Skills Toward Employment and Productivity) Measurement program is the first ever initiative to generate internationally comparable data on skills available in developing countries. The program implements standardized surveys to gather information on the supply and distribution of skills and the demand for skills in labor market of low-income countries.

The uniquely-designed Household Survey includes modules that measure the cognitive skills (reading, writing and numeracy), socio-emotional skills (personality, behavior and preferences) and job-specific skills (subset of transversal skills with direct job relevance) of a representative sample of adults aged 15 to 64 living in urban areas, whether they work or not. The cognitive skills module also incorporates a direct assessment of reading literacy based on the Survey of Adults Skills instruments. Modules also gather information about family, health and language.

Geographic coverage

13 major metropolitan areas: Bogota, Medellin, Cali, Baranquilla, Bucaramanga, Cucuta, Cartagena, Pasto, Ibague, Pereira, Manizales, Monteira, and Villavicencio.

Analysis unit

The units of analysis are the individual respondents and households. A household roster is undertaken at the start of the survey and the individual respondent is randomly selected among all household members aged 15 to 64 included. The random selection process was designed by the STEP team and compliance with the procedure is carefully monitored during fieldwork.

Universe

The target population for the Colombia STEP survey is all non-institutionalized persons 15 to 64 years old (inclusive) living in private dwellings in urban areas of the country at the time of data collection. This includes all residents except foreign diplomats and non-nationals working for international organizations.

The following groups are excluded from the sample: - residents of institutions (prisons, hospitals, etc.) - residents of senior homes and hospices - residents of other group dwellings such as college dormitories, halfway homes, workers' quarters, etc. - persons living outside the country at the time of data collection.

Kind of data

Sample survey data [ssd]

Sampling procedure

Stratified 7-stage sample design was used in Colombia. The stratification variable is city-size category.

First Stage Sample The primary sample unit (PSU) is a metropolitan area. A sample of 9 metropolitan areas was selected from the 13 metropolitan areas on the sample frame. The metropolitan areas were grouped according to city-size; the five largest metropolitan areas are included in Stratum 1 and the remaining 8 metropolitan areas are included in Stratum 2. The five metropolitan areas in Stratum 1 were selected with certainty; in Stratum 2, four metropolitan areas were selected with probability proportional to size (PPS), where the measure of size was the number of persons aged 15 to 64 in a metropolitan area.

Second Stage Sample The second stage sample unit is a Section. At the second stage of sample selection, a PPS sample of 267 Sections was selected from the sampled metropolitan areas; the measure of size was the number of persons aged 15 to 64 in a Section. The sample of 267 Sections consisted of 243 initial Sections and 24 reserve Sections to be used in the event of complete non-response at the Section level.

Third Stage Sample The third stage sample unit is a Block. Within each selected Section, a PPS sample of 4 blocks was selected; the measure of size was the number of persons aged 15 to 64 in a Block. Two sample Blocks were initially activated while the remaining two sample Blocks were reserved for use in cases where there was a refusal to cooperate at the Block level or cases where the block did not belong to the target population (e.g., parks, and commercial and industrial areas).

Fourth Stage Sample The fourth stage sample unit is a Block Segment. Regarding the Block segmentation strategy, the Colombia document 'FINAL SAMPLING PLAN (ARD-397)' states "According to the 2005 population and housing census conducted by DANE, the average number of dwellings per block in the 13 large cities or metropolitan areas was approximately 42 dwellings. Based on this finding, the defined protocol was to report those cases in which 80 or more dwellings were present in a given block in order to partition block using a random selection algorithm." At the fourth stage of sample selection, 1 Block Segment was selected in each selected Block using a simple random sample (SRS) method.

Fifth Stage Sample The fifth stage sample unit is a dwelling. At the fifth stage of sample selection, 5582 dwellings were selected from the sampled Blocks/Block Segments using a simple random sample (SRS) method. According to the Colombia document 'FINAL SAMPLING PLAN (ARD-397)', the selection of dwellings within a participant Block "was performed differentially amongst the different socioeconomic strata that the Colombian government uses for the generation of cross-subsidies for public utilities (in this case, the socioeconomic stratum used for the electricity bill was used). Given that it is known from previous survey implementations that refusal rates are highest amongst households of higher socioeconomic status, the number of dwellings to be selected increased with the socioeconomic stratum (1 being the poorest and 6 being the richest) that was most prevalent in a given block".

Sixth Stage Sample The sixth stage sample unit is a household. At the sixth stage of sample selection, one household was selected in each selected dwelling using an SRS method.

Seventh Stage Sample The seventh stage sample unit was an individual aged 15-64 (inclusive). The sampling objective was to select one individual with equal probability from each selected household.

Sampling methodologies are described for each country in two documents and are provided as external resources: (i) the National Survey Design Planning Report (NSDPR) (ii) the weighting documentation (available for all countries)

Mode of data collection

Face-to-face [f2f]

Research instrument

The STEP survey instruments include:

• The background questionnaire developed by the World Bank (WB) STEP team
• Reading Literacy Assessment developed by Educational Testing Services (ETS).

All countries adapted and translated both instruments following the STEP technical standards: two independent translators adapted and translated the STEP background questionnaire and Reading Literacy Assessment, while reconciliation was carried out by a third translator.

The survey instruments were piloted as part of the survey pre-test.

The background questionnaire covers such topics as respondents' demographic characteristics, dwelling characteristics, education and training, health, employment, job skill requirements, personality, behavior and preferences, language and family background.

The background questionnaire, the structure of the Reading Literacy Assessment and Reading Literacy Data Codebook are provided in the document "Colombia STEP Skills Measurement Survey Instruments", available in external resources.

Cleaning operations

STEP data management process:

1) Raw data is sent by the survey firm 2) The World Bank (WB) STEP team runs data checks on the background questionnaire data. Educational Testing Services (ETS) runs data checks on the Reading Literacy Assessment data. Comments and questions are sent back to the survey firm. 3) The survey firm reviews comments and questions. When a data entry error is identified, the survey firm corrects the data. 4) The WB STEP team and ETS check if the data files are clean. This might require additional iterations with the survey firm. 5) Once the data has been checked and cleaned, the WB STEP team computes the weights. Weights are computed by the STEP team to ensure consistency across sampling methodologies. 6) ETS scales the Reading Literacy Assessment data. 7) The WB STEP team merges the background questionnaire data with the Reading Literacy Assessment data and computes derived variables.

Detailed information on data processing in STEP surveys is provided in "STEP Guidelines for Data Processing", available in external resources. The template do-file used by the STEP team to check raw background questionnaire data is provided as an external resource, too.`

Response rate

An overall response rate of 48% was achieved in the Colombia STEP Survey.

"Refrigerator" and "Washing machine" are the top two answers among Colombian consumers in our survey on the subject of "Household appliances ownership".The survey was conducted online among ***** respondents in Colombia, in 2024. Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

Household debt to GDP, in percent in Colombia, December, 2024 The most recent value is 25.69 percent as of December 2024, a decline compared to the previous value of 26.03 percent. Historically, the average for Colombia from March 1999 to December 2024 is 20.14 percent. The minimum of 8.95 percent was recorded in March 2002, while the maximum of 32.38 percent was reached in December 2020. | TheGlobalEconomy.com

Household consumption, billion currency units in Colombia, March, 2025 The most recent value is 316457.37 billion Colombian Peso as of Q1 2025, a decline compared to the previous value of 338895.1 billion Colombian Peso. Historically, the average for Colombia from Q1 2000 to Q1 2025 is 128948.87 billion Colombian Peso. The minimum of 34744 billion Colombian Peso was recorded in Q1 2000, while the maximum of 338895.1 billion Colombian Peso was reached in Q4 2024. | TheGlobalEconomy.com

Accorging to the source, Risaralda, Bogota, and San Andres had the highest share of rental homes in Colombia in 2021. Almost half of the residential units in these departments were rentals. Meanwhile, Bogota Capital District had the highest share of homes with a mortgage (*** percent).