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TwitterIn 2023, about **** million people in Georgia were of Hispanic or Latino origin. Furthermore, about **** million white people and **** million Black people resided in Georgia in that same year.
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Twitterhttps://www.georgia-demographics.com/terms_and_conditionshttps://www.georgia-demographics.com/terms_and_conditions
A dataset listing Georgia counties by population for 2024.
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TwitterComprehensive demographic dataset for Georgia, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Context
The dataset tabulates the population of Georgia by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Georgia. The dataset can be utilized to understand the population distribution of Georgia by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Georgia. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Georgia.
Key observations
Largest age group (population): Male # 15-19 years (388,242) | Female # 30-34 years (382,604). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Georgia Population by Gender. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Georgia by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Georgia across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 51.14% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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
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.
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/.
This dataset is a part of the main dataset for Georgia Population by Gender. You can refer the same here
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Comprehensive socio-economic dataset for Georgia including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.
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TwitterComprehensive demographic dataset for Ellabell, GA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Georgia GE: Rural Population Growth data was reported at -0.998 % in 2017. This records a decrease from the previous number of -0.859 % for 2016. Georgia GE: Rural Population Growth data is updated yearly, averaging -0.087 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1.304 % in 1992 and a record low of -2.192 % in 2014. Georgia GE: Rural Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;
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TwitterComplete population data for Georgia showing how many people live in Georgia from 1960 to 2024
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TwitterComprehensive demographic dataset for The Rock, GA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Twitterhttps://worldviewdata.com/termshttps://worldviewdata.com/terms
Comprehensive socio-economic dataset for South Georgia including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.
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License information was derived automatically
Georgia GE: Population in Largest City data was reported at 1,077,597.000 Person in 2017. This records a decrease from the previous number of 1,077,861.000 Person for 2016. Georgia GE: Population in Largest City data is updated yearly, averaging 1,079,842.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,236,979.000 Person in 1989 and a record low of 717,766.000 Person in 1960. Georgia GE: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;
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TwitterComprehensive demographic dataset for Georgia, Freehold, NJ, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Marietta by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Marietta across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 51.27% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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
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.
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/.
This dataset is a part of the main dataset for Marietta Population by Race & Ethnicity. You can refer the same here
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TwitterComprehensive demographic dataset for Jewell, GA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
GE: Population: Female: Ages 65-69: % of Female Population data was reported at 5.221 % in 2017. This records an increase from the previous number of 5.033 % for 2016. GE: Population: Female: Ages 65-69: % of Female Population data is updated yearly, averaging 4.095 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 5.728 % in 2005 and a record low of 2.623 % in 1962. GE: Population: Female: Ages 65-69: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 65 to 69 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Georgia GE: Urban Population Growth data was reported at 0.620 % in 2017. This records a decrease from the previous number of 0.734 % for 2016. Georgia GE: Urban Population Growth data is updated yearly, averaging 1.089 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.988 % in 1960 and a record low of -3.103 % in 1995. Georgia GE: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Valdosta by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Valdosta. The dataset can be utilized to understand the population distribution of Valdosta by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Valdosta. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Valdosta.
Key observations
Largest age group (population): Male # 20-24 years (3,969) | Female # 20-24 years (5,026). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Valdosta Population by Gender. You can refer the same here
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Woodstock by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Woodstock across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of female population, with 53.29% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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
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.
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/.
This dataset is a part of the main dataset for Woodstock Population by Race & Ethnicity. You can refer the same here
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TwitterComprehensive demographic dataset for Marble Hill, GA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterIn 2023, about **** million people in Georgia were of Hispanic or Latino origin. Furthermore, about **** million white people and **** million Black people resided in Georgia in that same year.