This data contains information about all the business firms in the Town of Dumfries. This including men-owned, women-owned, veteran-owned, and minority-owned businesses. This data comes from the most recent U.S. Census provided by the United States Census Bureau. Data will be updated accordingly with the schedule of the U.S Census. https://data.census.gov/cedsci/profile?g=1600000US5123760

The Nonemployer Statistics by Demographics (NES-D): Characteristics of Business Owners estimates provide information on selected economic and demographic characteristics of business owners tabulated by sex, ethnicity, race, and veteran status of an owner. Included in the universe are nonemployer businesses with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing IRS tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series).

Establishment and dismantling of businesses and company demographics dynamics by industry. 1987-2004 Amended on 26 June 2009. Appearance Frequency: Stop it.

GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.

GIS Data attributes include:

1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.

2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.

3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.

4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.

6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain

Primary Use Cases for GapMaps GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular census block level using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

8. Network Planning

9. Customer (Risk) Profiling for insurance/loan approvals

10. Target Marketing

11. Competitive Analysis

12. Market Optimization

13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

14. Tenant Recruitment

15. Target Marketing

16. Market Potential / Gap Analysis

17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

18. Customer Profiling

19. Target Marketing

20. Market Share Analysis

Data on enterprise births, deaths, active enterprises and survival rates across boroughs.

Data includes:

1. the most recent annual figures for enterprise births and deaths
2. a time series of the number of births and deaths of entrprises together with a percentage of births and deaths to active enterprises in a given year
3. a time series of the number of active enterprises.
4. survival rates of enterprises for up to 5 years after birth

Notes and definitions:

• The starting point for business demography is the concept of a population of active businesses in a reference year (t). These are defined as businesses that had either turnover or employment at any time during the reference period.
• A birth is identified as a business that was present in year t, but did not exist in year t-1 or t-2. Births are identified by making comparison of annual active population files and identifying those present in the latest file, but not the two previous ones.
• A death is defined as a business that was on the active file in year t, but was no longer present in the active file in t+1 and t+2. In order to provide an early estimate of deaths, an adjustment has been made to the 2007 and 2008 deaths to allow for reactivations. These figures are provisional and subject to revision.

Data on size of firms (micro-business, SME, large) for business and employees in London by industry can be found on the ONS website.

More Business Demographics data on the ONS website

This data set provides statistics about employer and nonemployer businesses from 2021 for the nation, states, counties, and metropolitan statistical areas (MSA). It includes the number of firms, revenue, number of employees, and annual payroll, broken down by industry and owner demographics including as sex, ethnicity, race, and veteran status.About NES-DThe Nonemployer Statistics by Demographics series (NES-D) provides information on the demographic characteristics of nonemployer businesses. The NES-D is the result of a research project by the Census Bureau to complete the picture of U.S. business ownership by demographics for the United States. Historically, the quinquennial Survey of Business Owners (SBO) provided the only comprehensive source of information on both employer and nonemployer businesses by demographic characteristics of the business owners. In 2017, the SBO was replaced by the Annual Business Survey (ABS). The ABS is an annual survey that collects demographic characteristics from employer businesses. However, the ABS excludes the collection of demographic data from nonemployer businesses. The NES-D was developed to produce similar estimates as ABS on owner demographics for nonemployer businesses. The NES-D is not a survey; rather, it leverages existing individual-level administrative records to assign demographic characteristics to the universe of nonemployer businesses. Demographic characteristics including sex, ethnicity, race, veteran status, owner age, place of birth, and U.S. citizenship are assigned to nonemployer business owners.Together, the NES-D and the ABS will continue to provide the only source of detailed and comprehensive statistics on the scope, nature and activities of all U.S. businesses by the demographic characteristics of the business owners. NES-D data will be available annually by detailed geography and industry levels, receipt-size class, and legal form of organization (LFO). Beginning with the 2019 NES-D, the data will include urban and rural classification.

This data set provides statistics about employer and nonemployer businesses from 2020 for the nation, states, and metropolitan statistical areas (MSA). It includes the number of firms, revenue, number of employees, and annual payroll, broken down by industry and owner demographics including as sex, ethnicity, race, and veteran status.About NES-DThe Nonemployer Statistics by Demographics series (NES-D) provides information on the demographic characteristics of nonemployer businesses. The NES-D is the result of a research project by the Census Bureau to complete the picture of U.S. business ownership by demographics for the United States. Historically, the quinquennial Survey of Business Owners (SBO) provided the only comprehensive source of information on both employer and nonemployer businesses by demographic characteristics of the business owners. In 2017, the SBO was replaced by the Annual Business Survey (ABS). The ABS is an annual survey that collects demographic characteristics from employer businesses. However, the ABS excludes the collection of demographic data from nonemployer businesses. The NES-D was developed to produce similar estimates as ABS on owner demographics for nonemployer businesses. The NES-D is not a survey; rather, it leverages existing individual-level administrative records to assign demographic characteristics to the universe of nonemployer businesses. Demographic characteristics including sex, ethnicity, race, veteran status, owner age, place of birth, and U.S. citizenship are assigned to nonemployer business owners.Together, the NES-D and the ABS will continue to provide the only source of detailed and comprehensive statistics on the scope, nature and activities of all U.S. businesses by the demographic characteristics of the business owners. NES-D data will be available annually by detailed geography and industry levels, receipt-size class, and legal form of organization (LFO). Beginning with the 2019 NES-D, the data will include urban and rural classification.

Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Demographics Analysis

Problem A global retailer wants to understand company performance by age group.

Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

Annual data on births, deaths and survival of businesses in the UK, by geographical area and Standard Industrial Classification 2007: SIC 2007 groups.

The terms of reference document explains the purpose of the Business Population and Demographics Statistics (BPDS) user group. In this forum users and statistics producers in BEIS and ONS meet to share information and discuss relevant issues. The user group helps to ensure compliance with the principle ‘V1 Relevance to users’, as listed in the Code of Practice for Statistics.

Further information

If you have any questions about the BPDS user group, please email business.statistics@beis.gov.uk

http://webarchive.nationalarchives.gov.uk/20150605232409/https://www.gov.uk/government/statistics/user-engagement-and-the-business-population-estimates">Minutes from earlier meetings of the BPDS group in the national archive are also available.

The Statistics of U.S. Businesses (SUSB) provides detailed annual data for all U.S. business establishments with paid employees by geography, industry, and enterprise size. This program covers all NAICS industries except crop and animal production; rail transportation; National Postal Service; pension, health, welfare, and vacation funds; trusts, estates, and agency accounts; private households; and public administration. The SUSB also excludes most government employees. Further, SUSB data for years 1988-1997 were tabulated based on the Standard Industrial Classification (SIC) system. The SUSB features several arts-related NAICS industries, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic Design Services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Also, the SUSB features several arts related SIC industries, including the following: Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums and art galleries (SIC Code 8412) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Production & Services (SIC Code 7810) Data compiled for the SUSB are extracted from the Business Register (BR). The BR contains continuously updated data from the Census Bureau's economic censuses and currently business surveys, quarterly and annual Federal tax records and other department and federal statistics. SUSB data are available approximately 24 months after each reference year and are available for the United States, each state, and Metropolitan Statistical Areas (MSA). The annual SUSB consist of number of firms, number of establishments, annual payroll, and employment during the week of March 12. In addition, estimated receipts data are included for years ending in 2 and 7. Dynamic data, which are created from the Business Information Tracking Series (BITS), consist of the number of establishments and corresponding employment change for births, deaths, expansions, and contractions. The SUSB is important because it provides the only source of annual, complete, and consistent enterprise-level data for U.S. businesses, with industry detail. Private businesses use the data for market research, strategic business planning, and managing sales territories. State and local governments, as well as, budget, economic development, and planning offices use the data to assess business changes, develop fiscal policies, and plan future policies and programs. In addition, the data are the standard reference source for small business statistics. Users can view the latest SUSB annual data and employment change data on the main SUSB page. For more detailed industry and employment size classes, users can download additional data in comma-delimited format. Annual data are tabulated back to 1988 and employment change data back to 1989-1990. Data users can find news and updates about the SUSB data via the News & Updates section.

The contents of the dataset are related to the demographics of companies in the province of Trento. The data, which come from various sources, were drawn up by the Labour Market and Policy Studies Office for the preparation of the Annual Employment Report in the province of Trento, available as content open to the URL: https://www.agenzialavoro.tn.it/Open-Data/Other-content-available The dataset, including the resources in PDF format, is also available on the Open Data Catalogue of the Employment Agency at the URL: https://www.agenzialavoro.tn.it/Open-Data/I-dataset-available/Economics-and-finance/Economics-structure/Demography-of-businesses/Year-2020 The "time extension" metadata indicates the year (or years, in case of a time series) to which the dataset resources refer. In some cases, resources referring to a year may also contain data from the previous year for comparison. The indent ”-“ replaces the unpublished data as not available or not determinable or not publishable to protect the confidentiality of the statistical data (for values less than or equal to 5) or, in the case of sampling values, unreliable. The data released in CSV format are: Machine Readable, identified in the file name with the suffix _MR and validated. ATTRIBUTION: data compiled by the Office for Labour Market and Policy Studies on CCIAA – Movimprese data.

The Business Dynamics Statistics (BDS) is a public use data set providing annual aggregate measures of establishment openings and closings, firm startups and shutdowns, and job creation and destruction. These measures are available for the entire economy, and by industrial sector, 3-digit and 4-digit NAICS, state, MSA, and county. They are also available by firm and establishment size and age. For more information about the dataset see: https://www.census.gov/programs-surveys/bds.html

Overview This dataset re-shares cartographic and demographic data from the U.S. Census Bureau to provide an obvious supplement to Open Environments Block Group publications.These results do not reflect any proprietary or predictive model. Rather, they extract from Census Bureau results with some proportions and aggregation rules applied. For additional support or more detail, please see the Census Bureau citations below. Cartographics refer to shapefiles shared in the Census TIGER/Line publications. Block Group areas are updated annually, with major revisions accompanying the Decennial Census at the turn of each decade. These shapes are useful for visualizing estimates as a map and relating geographies based upon geo-operations like overlapping. This data is kept in a geodatabase file format and requires the geopandas package and its supporting fiona and DAL software. Demographics are taken from popular variables in the American Community Survey (ACS) including age, race, income, education and family structure. This data simply requires csv reader software or pythons pandas package. While the demographic data has many columns, the cartographic data has a very, very large column called "geometry" storing the many-point boundaries of each shape. So, this process saves the data separately, with demographics columns in a csv file and geometry in a gpd file needed an installation of geopandas, fiona and DAL software. More details on the ACS variables selected and derivation rules applied can be found in the commentary docstrings in the source code found here: https://github.com/OpenEnvironments/blockgroupdemographics. ## Files While the demographic data has many columns, the cartographic data has a very, very large column called "geometry" storing the many-point boundaries of each shape. So, this process saves the data separately, with demographics columns in a csv file named YYYYblcokgroupdemographics.csv. The cartographic column, 'geometry', is shared as file named YYYYblockgroupdemographics-geometry.pkl. This file needs an installation of geopandas, fiona and DAL software.

The contents of the dataset are related to the demographics of companies in the province of Trento. The data, which come from various sources, were drawn up by the Labour Market and Policy Studies Office for the preparation of the Annual Employment Report in the province of Trento, available as content open to the URL: https://www.agenzialavoro.tn.it/Open-Data/Other-content-available The dataset, including the resources in PDF format, is also available on the Open Data Catalogue of the Employment Agency at the URL: https://www.agenzialavoro.tn.it/Open-Data/I-dataset-available/Economics-and-finance/Economics-structure/Demography-of-businesses/Year-2019 The “time coverage” metadata refers to the time interval taken into account by the Historical Series that are identified in the file name with the suffix _ST. The indent ”-“ replaces the unpublished data as not available or not determinable or not publishable to protect the confidentiality of the statistical data (for values less than or equal to 5) or, in the case of sampling values, unreliable. The data released in CSV format are: Machine Readable, identified in the file name with the suffix _MR and validated. ATTRIBUTION: data compiled by the Office for Labour Market and Policy Studies on CCIAA – Movimprese data.

Sourcing accurate and up-to-date map data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

GapMaps Map Data uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographics data across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

GapMaps Map Data also includes the latest Point-of-Interest (POI) Data for leading retail brands across a range of categories including Fast Food/ QSR, Health & Fitness, Supermarket/Grocery and Cafe sectors which is updated monthly.

With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

• Better understand your customers
• Identify optimal locations to expand your retail footprint
• Define sales territories for franchisees
• Run targeted marketing campaigns.

GapMaps Map Data for Asia and MENA can be utilized in any GIS platform and includes the latest estimates (updated annually) on:

1. Population (how many people live in your local catchment)
2. Demographics (who lives within your local catchment)
3. Worker population (how many people work within your local catchment)
4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

Primary Use Cases for GapMaps Map Data:

1. Retail Site Selection - identify optimal locations for future expansion and benchmark performance across existing locations.
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
4. Target Marketing: Develop effective marketing strategies to acquire more customers.
5. Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.
6. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
7. Customer Profiling
8. Target Marketing
9. Market Share Analysis

OECD statistics contact: stat.contact@oecd.org

The OECD Secretariat collects a wide range of statistics on businesses and business activity. The Structural Business Statistics by size class dataset is part of the Structural and Demographic Business Statistics (SDBS) database featuring the harmonised data collection of the OECD Statistics and Data Directorate relating to a number of key variables, such as value added, operating surplus, employment, and the number of business units.

Data are broken down to class (4-digit) level of International Standard of Industrial Classification (ISIC Revision 4), and by enterprise size class based on the number of persons employed.

Data cover OECD member and partner countries, non-OECD countries that are members of the European Statistical System who provide data to Eurostat, as well as countries participating in OECD Regional initiatives.

Age-sex charts emphasize the gap between the numbers of males and females at a specific age group. It also illustrates the age and gender trends across all age and gender groupings. A chart skewed heavily to the left describes a very young population while a chart skewed heavily to the right illustrates an aging population.