In 2020, the median age of the Georgian population was 36.5 years. The figure was expected to increase by nearly 12.6 years between 2020 and 2100. The median age is the age that divides a population into two numerically equal groups; that is, half the people are younger than this age and half are older. It is a single index that summarizes the age distribution of a population.

The annual population growth in Georgia increased by 1.2 percentage points (+1200 percent) in 2023. With 1.28 percent, the population growth thereby reached its highest value in the observed period. Nevertheless, the last two years recorded a significantly lower population growth than the preceding years.Annual population growth refers to the change in the population over time, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Armenia and Azerbaijan.

About this dataset

Context

The dataset tabulates the Monroe County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Monroe County. The dataset can be utilized to understand the population distribution of Monroe County by age. For example, using this dataset, we can identify the largest age group in Monroe County.

Key observations

The largest age group in Monroe County, GA was for the group of age 60 to 64 years years with a population of 2,100 (7.42%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Monroe County, GA was the 85 years and over years with a population of 390 (1.38%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Monroe County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Monroe County 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 Monroe County Population by Age. You can refer the same here

The development of the National Exposure Information System (NEXIS) is a significant national project being undertaken by Geoscience Australia (GA). NEXIS collects, collates, manages and provides the information required to assess multi-hazard impacts. Exposure information is defined as a suite of elements at risk from a hazard which includes human populations, buildings, businesses and infrastructure.

Understanding population exposure is essential for emergency planning and management. However exposure information can also be used for understanding climate change risk, assessing energy efficiency policy, urban planning and other spatial research.

This paper focuses on the population aspects of NEXIS and recent work on estimation methods for the present day over any geographic extent. Plans for work on small area population estimates to 2100 will also be presented. Finally planned future work on activity modelling, that is determining population movement throughout the day, will also be highlighted.

Chart and table of IP.TMK.TOTL population from 1950 to 2025. United Nations projections are also included through the year 2100.

Chart and table of NY.GDP.PCAP.KN population from 1950 to 2025. United Nations projections are also included through the year 2100.