In 2020, nearly 70 percent of consumers in both Canada and the United States primarily shopped locally in order to strengthen the local economy. In comparison, only about half of shoppers in the United Kingdom bought products locally for this reason. Other arguments, consumers across the globe used for buying locally, included helping support local job creation, as well as investing in the community.

Introduction

Shopping Local Statistics: In 2024, according to the trend, shopping in the local market keeps growing momentum, giving priority to community, sustainability, and customised services. From farmers' markets to family-owned shops, in the U.S. and worldwide, renewed encouragement is put forth to small local businesses. Such online development has enabled these local shops to contend with large digital marketplaces.

Thus, this article deals with the latest shopping local statistics for 2025, along with consumer behaviour, and prevailing issues that small businesses must yet resolve.

A survey in the UK revealed that in 2019, only about ** percent of adult consumers intended on buying more from local shops. That number rose to ** percent in 2020.

This statistic displays the leading reasons why consumers shop at local small businesses in the United States as of **********. Some ** percent of survey respondents stated that they shopped at local small businesses because of the convenience.

In 2020, nearly half of consumers in France primarily shopped locally in order to reduce their environmental impact. On the other hand, only about *** in *** shoppers in both the United States and Japan bought products locally for this reason. That year, many consumers across the globe bought locally in order to support local job creation, as well as the local economy.

Local shopping has fluctuated over the past 12 years in the UK. In 2010, the sales revenue for local shops was measured at about 2.33 billion British pounds. Revenue peaked in 2020 but dropped to 2.58 billion British pounds in 2022.

When asked why they were more likely to purchase locally made products as of 2023, the majority of Canadian consumers responded that they wanted to support local businesses. About ** percent of consumers bought local because they believed that local products were more sustainable and better for the environment.

Sourcing accurate and up-to-date demographics GIS 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 uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent geodemographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

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.

Premium demographics GIS data for Asia and MENA 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 Demographics GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
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. 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 GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

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

8. Tenant Recruitment

9. Target Marketing

10. Market Potential / Gap Analysis

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

12. Customer Profiling

13. Target Marketing

14. Market Share Analysis

In a survey conducted in Australia in 2021, the leading reason among respondents for shopping locally was to keep money in the local community, with around ** percent of respondents indicating this. Job creation and reinvesting in the local economy were also leading motivations for respondents to shop locally.

The statistic depicts the results of a survey conducted in October 2015 by A.T. Kearney concerning promotional activities that motivate U.S. shoppers to buy local foods. The survey was conducted online among more than 1,500 U.S. shoppers who are primarily responsible for the food shopping or indicated to share the food shopping responsibility in their household. Some 30 percent of respondents said that retail marketing motivates them to buy local groceries.

The statistic depicts the results of a survey conducted in November 2012 by A.T. Kearney concerning the trust U.S. consumers have in different grocery formats to deliver local food, ranked on a 1-to-10 scale with 10 as most trustworthy. Farmers markets were the most trusted to deliver local foods, with a score of 8.2 out of 10.

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

The statistic depicts the results of a survey conducted in October 2015 by A.T. Kearney concerning the reasons why U.S. shoppers do not buy local groceries. The survey was conducted online among more than 1,500 U.S. shoppers who are primarily responsible for the food shopping or indicated to share the food shopping responsibility in their household. Some 27 percent of respondents said that local products are simply not available at their favorite retailer.

Financial overview and grant giving statistics of Dane Buy Local Inc

Estimates of total businesses broken down by industry (2, 3, 4 digit SIC 2007 codes and industry section). Workplace data units from Annual Business Inquiry (ABI) for London and Great Britain. Data rounded to the nearest 100. Percentages calculated on unrounded data. An extract compiled from the Inter Departmental Business Register (IDBR) recording the number of local units that were live at a reference date in March. Estimates can be broken down by employment size band, detailed industry (5 digit SIC2007) and legal status. Available from country down to mid layer super output area and Scottish intermediate zones. A local unit is an individual site (for example a factory or shop) associated with an enterprise. It can also be referred to as a workplace. Industry is broken down using SIC 2007 codes. Read more about SIC here http://www.statistics.gov.uk/methods_quality/sic/downloads/SIC2007explanatorynotes.pdf The ABI is a business survey which collects both employment and financial information. Only employment information for the location of an employees workplace is available from Nomis The ABI is based on a sample of approximately 78,000 businesses and is used to provide an estimate of the number of employees. The difference between the estimate and its true value is known as the sampling error. The actual sampling error for any estimate is unknown but we can estimate, from the sample, a typical error, known as the standard error. This provides a means of assessing the precision of the estimate; the lower the standard error, the more confident we can be the estimate is close to the true value. https://www.nomisweb.co.uk/articles/showArticle.asp?title=Information&article=news/071212_abi-stderrors.htm This dataset excludes farm based agriculture data contained in SIC class 0100. Relevant link: https://www.nomisweb.co.uk/Default.asp

Financial overview and grant giving statistics of Retail Wholesale Depart Store Union Local 315

Introduction

Male Vs Female Spending Statistics: Regardless of gender stereotypes, how females and males spend money can give an overview of the patterns and trends that have a wide economic impact on everyone. Despite common beliefs, men and women shop in similar ways.

They often choose the same stores, want fast delivery for their online orders, and look for products with many good reviews. This article will shed more light on Male vs. Female Spending Statistics.

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