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.

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.

Total current population for Latin America & Caribbean in 2023 was 657,611,624, a 0.69% increase from 2022.

<ul style='margin-top:20px;'>

<li>Total population for Latin America & Caribbean in 2022 was <strong>653,104,771</strong>, a <strong>0.6% increase</strong> from 2021.</li>
<li>Total population for Latin America & Caribbean in 2021 was <strong>649,234,475</strong>, a <strong>0.58% increase</strong> from 2020.</li>
<li>Total population for Latin America & Caribbean in 2020 was <strong>645,497,618</strong>, a <strong>0.72% increase</strong> from 2019.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

This horizontal bar chart displays population (people) by countries yearly using the aggregation sum in Central America. The data is filtered where the date is 2023. The data is about countries per year.

The average for 2023 based on 20 countries was 32.24 million. The highest value was in Brazil: 216.42 million and the lowest value was in Puerto Rico: 3.21 million. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The average for 2023 based on 20 countries was 76.64 percent. The highest value was in Uruguay: 95.77 percent and the lowest value was in Guatemala: 53.1 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Data from the Oak Ridge National Laboratory, LandScan Global Population 1998 Database. The LandScan Global Population Project is a worldwide population database at 30 x 30 (arc second) resolution for estimating ambient populations at risk. Best available census counts are distributed to cells based on probability coefficients which, in turn, are based on road proximity, slope, land cover, and nighttime lights. Global coverage has been completed. Verification and validation (V&V) studies have been conducted routinely for all regions and more extensively for portions of the Middle East and the Southwestern United States. Data-set has been exported as Binary format.

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).

This horizontal bar chart displays female population (people) by demonym using the aggregation sum in Central America. The data is about countries per year.

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 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. It has 8 rows. It features 3 columns: male population, and democracy score.

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.

The world's population first reached one billion people in 1803, and reach eight billion in 2023, and will peak at almost 11 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two thirds of the world's population live in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a decade later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

This dataset is about countries per year in Central America. It has 512 rows. It features 4 columns: country, urban land area, and urban population.

Graph and download economic data for Population ages 65 and above: All Income Levels for Latin America and Caribbean (SPPOP65UPTOZSLCN) from 1960 to 2023 about Caribbean Economies, Latin America, 65-years +, income, and population.

This scatter chart displays individuals using the Internet (% of population) against male population (people) in Central America. The data is about countries.

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

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Occupation titles and their 4-digit codes are based on the 2018 Standard Occupational Classification..Industry titles and their 4-digit codes are based on the North American Industry Classification System (NAICS). The Census industry codes for 2023 and later years are based on the 2022 revision of the NAICS. To allow for the creation of multiyear tables, industry data in the multiyear files (prior to data year 2023) were recoded to the 2022 Census industry codes. We recommend using caution when comparing data coded using 2022 Census industry codes with data coded using Census industry codes prior to data year 2023. For more information on the Census industry code changes, please visit our website at https://www.census.gov/topics/employment/industry-occupation/guidance/code-lists.html..Telephone service data are not available for certain geographic areas due to problems with data collection of this question that occurred in 2019. 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..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate beca...

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.