The statistic shows age distribution in Latin America & Caribbean between 2013 to 2023. In 2023, around 22.88 percent of the population of Latin America & Caribbean was between 0 and 14 years old, 67.6 percent was between 15 and 64 and 9.53 percent was 65 years old and over.

In 2024, Belize had the highest share of the population living in rural areas in Central America, with over half the residents. Followed closely behind by Guatemala, with almost 47 percent of the population in rural regions. In 2022, Nicaragua ranked as the third most populated country in the region, with over six million inhabitants.

This horizontal bar chart displays urban population (people) by countries yearly using the aggregation sum and is filtered where the region is Central America. The data is about countries per year.

The Latin America and the Caribbean Population Time Series data set provides total population estimates using spatially consistent and comparable Units for Latin American municipalities or equivalent administrative Units for the years 1990 and 2000. The data set consists of two vector polygon layers: one layer displays population estimates for subnational administrative Units in 1990 and 2000, including population counts, density, and percent change, at the municipality level or equivalent (level 2); a second layer summarizes this information at the country level (level 0).

The earliest point where scientists can make reasonable estimates for the population of global regions is around 10,000 years before the Common Era (or 12,000 years ago). Estimates suggest that Asia has consistently been the most populated continent, and the least populated continent has generally been Oceania (although it was more heavily populated than areas such as North America in very early years). Population growth was very slow, but an increase can be observed between most of the given time periods. There were, however, dips in population due to pandemics, the most notable of these being the impact of plague in Eurasia in the 14th century, and the impact of European contact with the indigenous populations of the Americas after 1492, where it took almost four centuries for the population of Latin America to return to its pre-1500 level. The world's population first reached one billion people in 1803, which also coincided with a spike in population growth, due to the onset of the demographic transition. This wave of growth first spread across the most industrially developed countries in the 19th century, and the correlation between demographic development and industrial or economic maturity continued until today, with Africa being the final major region to begin its transition in the late-1900s.

This dataset is about countries in Central America per year, featuring 3 columns: country, date, and rural population. The preview is ordered by date (descending).

Graph and download economic data for Population Ages 0 to 14 for Developing Countries in Latin America and Caribbean (SPPOP0014TOZSLAC) from 1960 to 2023 about 0 to 14 years, Caribbean Economies, Latin America, and population.

The number of people experiencing severe food insecurity in Central America was estimated at 14.1 million people in 2022. In comparison to the previous year, this represents a considerable increase of people experiencing severe food insecurity. Similarly, the size of the population experiencing moderate or severe food insecurity increased from 49 million people in 2022 to 52.6 million people in 2023. According to the source, a person is considered food insecure when they lack regular access to enough safe and nutritious food to lead an active and healthy life.

This horizontal bar chart displays male population (people) by demonym using the aggregation sum and is filtered where the region is Central America. The data is about countries per year.

This dataset is about countries in Central America per year and is filtered where the date is 2,023, featuring 3 columns: country, date, and population. The preview is ordered by date (descending).

As of January 2024, more than 80 percent of South Americans had access to the internet, whereas the same could be said for 70.2 percent of the Caribbean population. Mobile devices represented the largest shares of internet access across Latin America throughout 2023.

About this dataset

Context

The dataset tabulates the population of Central by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Central across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 51.52% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Central is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Central total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Central Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population: All Income Levels for Latin America and Caribbean (SPPOPDPNDOLLCN) from 1960 to 2023 about Caribbean Economies, Latin America, working-age, ratio, income, and population.

The annual birth rate has been on decline in Latin America and the Caribbean since 2005. In 2022, this region's birth rate amounted to an average of 14.56 live births per 1,000 population, down from almost 20 births per 1,000 people in 2005. The population growth rate in Latin America and Caribbean has started to decrease in the last few years.

This horizontal bar chart displays female population (people) by ISO 3 country code using the aggregation sum and is filtered where the region is Central America. The data is about countries per year.

About this dataset

Context

The dataset tabulates the population of Central by race. It includes the population of Central across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Central across relevant racial categories.

Key observations

The percent distribution of Central population by race (across all racial categories recognized by the U.S. Census Bureau): 63.70% are white, 12.43% are Black or African American, 5.24% are Asian, 0.59% are some other race and 18.03% are multiracial.

https://i.neilsberg.com/ch/central-sc-population-by-race.jpeg" alt="Central population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Central
• Population: The population of the racial category (excluding ethnicity) in the Central is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Central total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Central Population by Race & Ethnicity. You can refer the same here

Canada was home to almost 4 million individuals who identified themselves as visible minorities in 2001, accounting for 13.4% of the total population. The proportion of the visible minority population has increased steadily over the past 20 years. In 1981, 1.1 million visible minorities accounted for 4.7% of the total population; by 1996, 3.2 million accounted for 11.2%.

About this dataset

Context

The dataset tabulates the population of Central City by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Central City across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 55.26% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Central City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Central City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Central City Population by Race & Ethnicity. You can refer the same here

Abstract

Multiple causes for displacement, all too often underpinned by violence and persecution, has led to over 800,000 Central Americans fleeing their homes, beginning in 2013. Year after year, there has been an increase in individuals fleeing. This was marked initially by especially large numbers of unaccompanied children, then joined in around 2018 with dramatic increases in families units fleeing Central America. Families are forced to flee together as violent threats and persecution by criminal groups in communities extend beyond individuals to entire family units.

Given these shifting dynamics in human mobility in these countries, UNHCR and UNICEF, through the Interdisciplinary Development Consultants, CID Gallup, decided to undertake this study with the aim of understanding and giving visibility to the forced displacement of families that flee northern Central America. In addition, the study also seeks to shed light on the current trends, protection risks and factors associated to the forced displacement and migration of unaccompanied and separated children.

For this purpose, Gallup conducted 3,104 surveys, complemented by focus group sessions segmented according to the geography of displacement in the region: country of origin, of transit and of asylum. Additionally, interviews were undertaken with families who were part of large mixed movement "caravans" that left Honduras at the beginning of 2020.

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

A significant sample was taken of each profile interviewed for a total of 3,104 surveys conducted in Honduras, El Salvador, Guatemala and Mexico. The content of each survey was focused on the following profiles:

Families and children and adolescents at risk of displacement in countries of origin: a total of 789 surveys were carried out with families identified from a non-probabilistic sampling. The surveys were taken in areas with the highest criminality and violence rates in countries of origin (El Salvador, Honduras and Guatemala), which were also areas with a prior history of forced displacement identified through previous studies. The survey questions focused on risks faced by families in their places of origin, including those that would compel them to flee, particularly those related to violence and poverty.

Families and children and adolescents in transit: a total of 836 surveys were carried out with families identified from a non-probabilistic sampling. The surveys were taken at locations where persons in transit were typically found in Guatemala and Mexico, such as Casas de Migrantes. For the quantitative component, data of unaccompanied children and adolescents was gatheredin Casa Nuestras Raices in Guatemala City and Quetzaltenango. This segment of the population was surveyed on the risks they faced during transit as well as the causes of displacement from their countries of origin.

Families and children and adolescents in country of destination: through non-probabilistic sampling methods, 453 people were surveyed, the majority of whom were recognized as refugees or asylum seekers in Mexico. Several interviews were facilitated by the UNHCR Office in Mexico in areas with this population profile: Casa del Migrante Monsenor-Oluta Veracruz, Scalabrinianas Mision con Migrantes y Refugiados, State DIF, Municipal DIF, among others. The survey questions for this population focused on the asylum procedure and their living conditions in the country.

Deported families and children and adolescents: non-probability cluster sampling. Interviews were conducted with 1,026 families that had been detained and deported during the 12 months prior to the survey. Locations included the Guatemalan Air Force base, outside of the Center for the Comprehensive Assistance to Migrants (CAIM for its acronym in Spanish) and outside of the following locations in Honduras: Center for the Assistance of Migrant Children and Families in Belen, and Center for the Assistance to the Returned Migrant (CAMR) and CAMR-OMOA.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire contains the following sections: household characteristics, individual characteristics, details on deportation, risks, transit, settled households.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Tell us what you think. Provide feedback to help make American Community Survey data more useful for you..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Telephone service data are not available for certain geographic areas due to problems with data collection of this question that occurred in 2015 and 2016. Both ACS 1-year and ACS 5-year files were affected. It may take several years in the ACS 5-year files until the estimates are available for the geographic areas affected...Occupation codes are 4-digit codes and are based on Standard Occupational Classification 2010..Industry codes are 4-digit codes and are based on the North American Industry Classification System 2012. The Industry categories adhere to the guidelines issued in Clarification Memorandum No. 2, "NAICS Alternate Aggregation Structure for Use By U.S. Statistical Agencies," issued by the Office of Management and Budget..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates