Attribution 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 Sale City by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Sale City across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of female population, with 58.09% 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 Sale City Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Sale City 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 Sale City. The dataset can be utilized to understand the population distribution of Sale City by age. For example, using this dataset, we can identify the largest age group in Sale City.
Key observations
The largest age group in Sale City, GA was for the group of age 40 to 44 years years with a population of 62 (16.45%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Sale City, GA was the 70 to 74 years years with a population of 8 (2.12%). 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:
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 Sale City Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Towns in Time is a compilation of time series data for Victoria's towns covering the years 1981 to 2011. The data is based on Census data collected by the Australian Bureau of Statistics. Towns in Time presents 2011 data for the 2011 definition of each town, together with data under the 2006 definition for 2006 and earlier years. A map showing the difference in the town's boundaries between 2006 and 2011 is attached to each data sheet. It is recommended the user assess this concordance when using time series data.
https://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdfhttps://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdf
Comprehensive population and demographic data for Sale Village
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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 Sale City Population by Age. You can refer the same here
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global manufactured homes and mobile homes sales market size was valued at approximately $27.5 billion in 2023 and is projected to reach around $42.8 billion by 2032, registering a CAGR of 5.1% during the forecast period. The growth in this market is primarily driven by increasing demand for affordable housing solutions, advancements in manufacturing technologies, and the rising trend of downsizing and minimalistic living among the population.
One significant growth factor for the manufactured homes and mobile homes sales market is the affordability compared to traditional housing. With real estate prices soaring in urban areas, many individuals and families are turning to manufactured and mobile homes as a cost-effective housing option. These homes provide the necessary amenities at a fraction of the cost of conventional homes, thereby attracting a large segment of budget-conscious buyers. Additionally, the financial benefits extend beyond the initial purchase, with lower maintenance costs and property taxes, which further appeal to cost-savvy consumers.
Another growth driver is the advancement in construction and manufacturing technologies. Modern manufactured and mobile homes are designed using state-of-the-art building methods and materials that enhance durability, energy efficiency, and overall living comfort. These technological innovations have significantly improved the quality perception of manufactured homes, making them a viable alternative to traditional housing. The incorporation of smart home technologies and sustainable building practices also aligns with the growing consumer preference for eco-friendly and connected living environments.
Moreover, the changing demographics and lifestyle preferences are contributing to the market growth. The increasing trend of minimalistic and mobile living among millennials and retirees is fostering the demand for manufactured and mobile homes. This segment of the population values flexibility, mobility, and low-maintenance living, all of which are offered by manufactured homes. The adaptability of these homes to various locations and the ease of relocation also cater to the needs of a more transient and adventurous lifestyle.
The market for Prefabricated Home Sales is witnessing a notable surge as consumers increasingly seek out efficient and sustainable housing solutions. Prefabricated homes, often synonymous with manufactured and mobile homes, offer a streamlined construction process that reduces waste and minimizes environmental impact. This method of construction not only supports eco-friendly initiatives but also significantly cuts down on building time, allowing homeowners to move into their new residences more quickly. As the demand for sustainable living grows, prefabricated homes are becoming a popular choice among environmentally conscious buyers who value both efficiency and quality in their housing options.
From a regional perspective, North America holds a significant share of the market due to the high acceptance and established infrastructure for manufactured and mobile homes. The United States, in particular, has a long history and a substantial market for these types of dwellings, supported by favorable regulations and financing options. The Asia Pacific region is also expected to witness substantial growth, driven by rapid urbanization, population growth, and increasing disposable incomes in countries like China and India. These regions are recognizing the potential of manufactured homes as a solution to their housing shortages and urban sprawl issues.
The product type segment of the manufactured homes and mobile homes sales market is categorized into Single-Wide Homes, Double-Wide Homes, and Triple-Wide Homes. Single-Wide Homes are the most economical and compact option, typically featuring a narrow floor plan that can be easily transported. This segment is particularly popular among first-time buyers and individuals looking for a minimalistic lifestyle. Single-Wide Homes often appeal to young professionals and small families due to their affordability and efficient use of space.
Double-Wide Homes offer more living space and are designed to be assembled on-site from two sections. This type o
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Unemployment Rate - Sales and Related Occupations (LNU04032220) from Jan 2000 to Jun 2025 about occupation, 16 years +, sales, household survey, unemployment, rate, and USA.
A global database of B2B Marketing Data that provides an understanding of population distribution at administrative and zip code level over 55 years, past, present, and future.
Leverage up-to-date audience targeting population trends for market research, audience targeting, and sales territory mapping.
Self-hosted marketing population dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The B2B Marketing Data is standardized, unified, and ready to use.
Use cases for the Global Population Database (B2B Marketing Data/B2B Leads data)
Ad targeting
B2B Market Intelligence
Customer analytics
Marketing campaign analysis
Demand forecasting
Sales territory mapping
Retail site selection
Reporting
Audience targeting
B2B leads data export methodology
Our population 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 B2B Marketing 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Brazil Population Census: Northeast: Piauí: Landri Sales data was reported at 5,281.000 Person in 2010. This records a decrease from the previous number of 5,586.000 Person for 2007. Brazil Population Census: Northeast: Piauí: Landri Sales data is updated yearly, averaging 5,548.500 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 5,628.000 Person in 2000 and a record low of 5,281.000 Person in 2010. Brazil Population Census: Northeast: Piauí: Landri 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.GAC050: Population Census: by Municipality: Northeast: Piauí.
https://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdfhttps://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdf
Comprehensive population and demographic data for Chak Sale Village
A global database of Direct Marketing 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 audience targeting population trends for market research, audience targeting, and sales territory mapping.
Self-hosted marketing population dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The Demographic Data is standardized, unified, and ready to use.
Use cases for the Global Consumer Behavior Database (Direct Marketing Data)
Ad targeting
B2B Market Intelligence
Customer analytics
Audience targeting
Marketing campaign analysis
Demand forecasting
Sales territory mapping
Retail site selection
Reporting
Audience targeting
Demographic data export methodology
Our population 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 Consumer 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.
In 2022, ** percent of the Polish population purchased laundry detergent on sale in Poland. Consumers spent that much money on sale for no other beauty and household product. Baby and child care products Poles were least likely to buy on sale. It can also be stated that women tend to pay more attention to offers. Over 55-year-olds are most likely to look for household products.
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 ** percent, with * percent of the German population living in this state.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Brazil Population Census: Northeast: Ceará: Campos Sales data was reported at 26,506.000 Person in 2010. This records an increase from the previous number of 25,553.000 Person for 2007. Brazil Population Census: Northeast: Ceará: Campos Sales data is updated yearly, averaging 25,559.500 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 26,506.000 Person in 2010 and a record low of 23,964.000 Person in 1996. Brazil Population Census: Northeast: Ceará: Campos 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.GAC046: Population Census: by Municipality: Northeast: Ceará.
U.S. Census Tract Boundaries represents the 2020 U.S. Census tracts of the United States in the 50 states and the District of Columbia. Tracts are polygons containing population totals from the 2020 Census.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Employment Level - Sales and Related Occupations (LNU02032206) from Jan 1983 to Jun 2025 about occupation, 16 years +, sales, household survey, employment, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Brazil Population Census: Southeast: Minas Gerais: São Francisco de Sales data was reported at 5,776.000 Person in 2010. This records an increase from the previous number of 5,167.000 Person for 2007. Brazil Population Census: Southeast: Minas Gerais: São Francisco de Sales data is updated yearly, averaging 5,221.500 Person from Jul 1996 (Median) to 2010, with 4 observations. The data reached an all-time high of 5,776.000 Person in 2010 and a record low of 5,167.000 Person in 2007. Brazil Population Census: Southeast: Minas Gerais: São Francisco de 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.GAC054: Population Census: by Municipality: Southeast: Minas Gerais.
In 2022, ** percent of the Polish population purchased coffee and tea on sale in Poland. Consumers spent that much money for no other food and beverage product on sale. Food for babies and children were products Poles were least likely to buy on sale. It can also be stated that women tend to pay more attention to offers, except for alcohol, which men pay more attention to.
Areas with market potential as farm-gates sales inferred from population density (in individuals/km2 or i/km2). Population density was provided by the National Center for Geographic Information and Analysis (NCGIA) from the University of California at Santa Barbara.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Balances Movement Chart
Attribution 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 Sale City by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Sale City across both sexes and to determine which sex constitutes the majority.
Key observations
There is a majority of female population, with 58.09% 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 Sale City Population by Race & Ethnicity. You can refer the same here