About this dataset

Context

The dataset tabulates the data for the Sale City, GA population pyramid, which represents the Sale City population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Sale City, GA, is 42.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Sale City, GA, is 28.5.
• Total dependency ratio for Sale City, GA is 70.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Sale City, GA is 3.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 for the Sale City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Sale City for the selected age group is shown in the following column.
• Population (Female): The female population in the Sale City for the selected age group is shown in the following column.
• Total Population: The total population of the Sale City for the selected age group is shown in the following column.

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 Sale City Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Sale City population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Sale City. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 213 (56.50% of the total population). 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.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Sale City population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Sale City is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Sale City is shown in the following column.

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 Sale City Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Sale City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Sale City. The dataset can be utilized to understand the population distribution of Sale City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Sale City. 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 Sale City.

Key observations

Largest age group (population): Male # 40-44 years (28) | Female # 40-44 years (34). 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.

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

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

• Age Group: This column displays the age group for the Sale City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Sale City is shown in the following column.
• Population (Female): The female population in the Sale City is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Sale City for each age group.

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 Sale City Population by Gender. You can refer the same here

Internet sales have played an increasingly significant role in retailing. In 2024, e-commerce accounted for over 17 percent of retail sales worldwide. Forecasts indicate that by 2029, the online segment will make up close to over 21 percent of total global retail sales. Retail e-commerce Online shopping has grown steadily in popularity in recent years. In 2024, global e-commerce sales amounted to over seven trillion U.S. dollars, a figure expected to exceed 10.4 trillion U.S. dollars by 2028. Digital development in Latin America boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the region. So much so that Brazil and Argentina appear to lead the world's fastest-growing online retail markets. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditioe-comernal fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The average order value of online shopping via smartphones and tablets still lags traditional e-commerce via desktop computers. However, e-retailers around the world have caught up in mobile e-commerce sales. Online shopping via smartphones is particularly prominent in Asia. By the end of 2021, Malaysia was the top digital market based on the percentage of the population that had purchased something by phone, with nearly 45 percent having made a weekly mobile purchase. South Korea, Taiwan, and the Philippines completed the top of the ranking.

Envestnet®| Yodlee®'s Retail Sales Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

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Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Brazil Population Census: Northeast: Bahia: Cândido Sales data was reported at 27,918.000 Person in 2010. This records an increase from the previous number of 26,727.000 Person for 2007. Brazil Population Census: Northeast: Bahia: Cândido Sales data is updated yearly, averaging 27,322.500 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 28,516.000 Person in 2000 and a record low of 25,482.000 Person in 1996. Brazil Population Census: Northeast: Bahia: Cândido Sales data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC045: Population Census: by Municipality: Northeast: Bahia.

This statistic shows a distribution of beer sales in relation to the population in Germany as of 2023. In Thuringia and Saxony, beer sales in food retail stores made up 11 percent, with 7 percent of the German population living in this state.

United States Retail Sales Nowcast: sa: YoY: Contribution: Mobility: Population Not Staying at Home data was reported at 0.000 % in 03 Feb 2025. This stayed constant from the previous number of 0.000 % for 27 Jan 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: Mobility: Population Not Staying at Home data is updated weekly, averaging 0.001 % from Nov 2020 (Median) to 03 Feb 2025, with 220 observations. The data reached an all-time high of 10.085 % in 14 Oct 2024 and a record low of 0.000 % in 03 Feb 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: Mobility: Population Not Staying at Home data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

Graph and download economic data for Employment Level - Sales and Office Occupations (LNU02032205) from Jan 1983 to Feb 2025 about occupation, 16 years +, sales, household survey, employment, and USA.

ebowwa/people-profiles-io-sales dataset hosted on Hugging Face and contributed by the HF Datasets community

Population, sample and respondents of the survey revenues from sale by economic activity (emtak 2008) (2011–2015, months).

A global database that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

Leverage up-to-date population trends for market research, ad targeting, and sales territory mapping.

Self-hosted population dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The geodemographic data is standardized, unified, and ready to use.

Use cases for the Global Population Database (Demographic/Geodemographic data)

• Ad targeting

• Market Intelligence

• Customer analytics

• Marketing campaign analysis

• Demand forecasting

• Sales territory mapping

• Retail site selection

• Reporting

Geographic data export methodology

Our location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Historical population data (55 years)

• Changes in population density

• Urbanization Patterns

• Accurate at zip code and administrative level

• Optimized for easy integration

• Easy customization

• Global coverage

• Updated yearly

• Standardized and reliable

• Self-hosted delivery

• Fully aggregated (ready to use)

• Rich attributes

Why do companies choose our location databases

• Standardized and unified demographic data structure

• Seamless integration in your system

• Dedicated location data expert

Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

Brazil Population Census: Southeast: São Paulo: Sales Oliveira data was reported at 10,568.000 Person in 2010. This records an increase from the previous number of 8,187.000 Person for 2007. Brazil Population Census: Southeast: São Paulo: Sales Oliveira data is updated yearly, averaging 8,768.000 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 10,568.000 Person in 2010 and a record low of 8,187.000 Person in 2007. Brazil Population Census: Southeast: São Paulo: Sales Oliveira data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC056: Population Census: by Municipality: Southeast: São Paulo.

A global database of Census Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

Leverage up-to-date census data with population trends for real estate, market research, audience targeting, and sales territory mapping.

Self-hosted commercial demographic dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The global Census Data is standardized, unified, and ready to use.

Use cases for the Global Census Database (Consumer Demographic Data)

• Ad targeting

• B2B Market Intelligence

• Customer analytics

• Real Estate Data Estimations

• Marketing campaign analysis

• Demand forecasting

• Sales territory mapping

• Retail site selection

• Reporting

• Audience targeting

Census data export methodology

Our consumer demographic data packages are offered in CSV format. All Demographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Historical population data (55 years)

• Changes in population density

• Urbanization Patterns

• Accurate at zip code and administrative level

• Optimized for easy integration

• Easy customization

• Global coverage

• Updated yearly

• Standardized and reliable

• Self-hosted delivery

• Fully aggregated (ready to use)

• Rich attributes

Why do companies choose our demographic databases

• Standardized and unified demographic data structure

• Seamless integration in your system

• Dedicated location data expert

Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

Dataset

This dataset was created by SHIYINWANG

Contents

Bills of sale are written agreements which convey title of property, including enslaved people, from seller to buyer. Under the system of chattel slavery, laws permitted enslavers to treat enslaved people as personal possessions in the same manner as livestock, farm equipment, or household items. Enslaved people could be bought or sold without regard to their personal relationships or free will. Bills of sale record the name of the seller, the names of enslaved people being sold and their price, and the name of the buyer. Given that they involved a property transaction, bills of sale were commonly recorded and filed with deeds in the local court. However, there was no official requirement that the transfer of an enslaved person be recorded unless necessary for legal purposes such as a court case or an estate settlement. Enslaved people could also be transferred through a deed of gift, there was no money transaction involved in this case, which distinguishes this record from a bill of sale. Enslavers and their family members often transferred enslaved people between themselves in this manner.

Deeds, likewise are written agreements which convey title of property, such as an enslaved person, from one individual to another. Deeds can involve the voluntary transfer of enslaved people between family members with no financial transaction involved. Deeds record name(s) of the grantor(s), grantee(s), and enslaved people. Deeds were proved and recorded in the local court.

The data in this collection is drawn directly from the historical documents and may contain language that is now deemed offensive.

About this dataset

Context

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

Key observations

The percent distribution of Sale City population by race (across all racial categories recognized by the U.S. Census Bureau): 80.64% are white, 16.45% are Black or African American and 2.92% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Sale City
• Population: The population of the racial category (excluding ethnicity) in the Sale City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Sale 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 Sale City Population by Race & Ethnicity. You can refer the same here

Dataset

This dataset was created by Debashish Dalal

Released under Database: Open Database, Contents: © Original Authors

Contents

Graph and download economic data for Unemployment Level - Sales and Related Occupations (LNU03032220) from Jan 2000 to Feb 2025 about occupation, 16 years +, sales, household survey, unemployment, and USA.

Dataset

This dataset was created by Pratyusha Kar

Released under CC0: Public Domain

Contents