With Speedeon's New Mover Data, you can market to movers when it matters most. Each year, 36 million people move. During the year surrounding this big life event, movers make approximately 72 brand-related decisions and spend nearly $9,000. For brands that offer products and services, especially top of mind for those in the "moving mindset", reaching individuals at the exact right time is key.
Speedeon's mover data is ideal for customer acquisition, retention and CRM matching, especially for products like - Financial services and loan products - Subscription services - Entertainment - Local businesses like gyms and restaurants - Furniture and appliances - Home improvements - Moving services - Banking services
Our data includes key data points including name, address, phone and email.
A sample of Speedeon's new mover data sources include: - Change of address forms including subscriptions - U.S. census bureau - County records, courthouse filings & title companies - Telco records including phone, utility and cable connects & disconnects - Real estate agency and records - Sale by owner sites and pending sales - Newspapers and other online publications
Speedeon's mover data is updated daily and undergoes additional data enhancements and verifications such as CASS and NCOA. In addition, our New Mover Data undergoes rigorous analysis, quality assessment and third-party verification.
Harness the Power of Fresh New Homeowner Audience Data
Our comprehensive New Homeowner Audience Data file is a meticulously curated compilation of Direct Marketing data, enriched with valuable Email Address Data. This essential resource offers unparalleled access to Consumers and Prospects who have recently moved into new homes or apartments.
Averaging an impressive 1.1 million records monthly, our dataset is continually updated with the latest information, including a dedicated 30-day hotline file for the most recent movers. This ensures you're always working with the freshest and most relevant data.
With an average income surpassing $55K and a high concentration of families, these new homeowners present a prime opportunity for businesses across various sectors. From healthcare providers and home improvement specialists to financial advisors and interior designers, our data empowers you to identify and reach your ideal customer.
Benefit from our flexible pricing options, allowing you to tailor your data acquisition to your specific business needs. Choose from transactional purchases or opt for annual licensing with unlimited use cases for marketing and analytics.
Unlock the full potential of your marketing campaigns with our New Homeowner Audience Data.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Find people who have recently moved into any neighborhood anywhere in the USA. This covers both renters and homeowners. Filter by movers in-state or out-of-state, in-city or out-of-city, in-zip-code or out-of-zip-code. Also filter by dwelling type and recency of their move
Statistics for moving services in new-york-city including costs, move sizes, and other relevant data as of June 2025.
Tables on:
The previous Survey of English Housing live table number is given in brackets below. Please note from July 2024 amendments have been made to the following tables:
Tables FA4401 and FA4411 have been combined into table FA4412.
Tables FA4622 and FA4623 have been combined into table FA4624.
For data prior to 2022-23 for the above tables, see discontinued tables.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">97.3 KB</span></p>
<p class="gem-c-attachment_metadata">
This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">55.1 KB</span></p>
<p class="gem-c-attachment_metadata">
This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The market for moving services (mover and packers) is estimated to reach $105.45 billion by 2033, exhibiting a CAGR of 5.23% during the forecast period. The rising demand for relocation services due to urbanization, job mobility, and lifestyle changes is driving the market growth. Moreover, the increasing prevalence of online booking platforms and the adoption of technology solutions for streamlining operations are further boosting the market. The market is segmented into type (full-service moving, partial-service moving), application (residential, commercial, other applications), and geography. North America is the largest market for moving services, followed by Europe and Asia-Pacific. Key trends in the moving services market include the increasing adoption of digital technologies, the rise of self-service moving options, and the growing demand for specialized moving services. The market is also witnessing the emergence of new players and the consolidation of existing players through mergers and acquisitions. Some of the major companies operating in the market include Arpin Van Lines, Wheaton World Wide Moving, AGS Worldwide Movers, Sirva Inc., U-Pack, Beltmann Relocation Group, Armstrong Relocation and Companies, ArcBest Corp., Coleman World Group, Atlas World Group Inc., and UniGroup Inc. Recent developments include: January 2023: The Beltmann Relocation Group announced its acquisition of Ward North American, the second-largest North American van lines agent based in San Antonio, Texas. This acquisition will expand Beltmann's national footprint with five additional Texas locations and significantly increase the size of its interstate driver fleets., January 2023: Armstrong Relocation and Companies, a moving and relocation firm, acquired Humboldt Storage & Moving, based in Boston. Following its recent purchase of MacDonald’s Moving Services in greater Boston, this acquisition solidifies Armstrong's position as one of the largest movers in Boston and the northeastern United States.. Key drivers for this market are: Demand for Relocation Services Surging due to Shifting Lifestyles and Career Opportunities. Potential restraints include: Economic Downturns Reduce Demand for Moving Services. Notable trends are: Residential Moves Lead the Moving Services Industry.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Historical price and volatility data for Taiwan New Dollar in Mover across different time periods.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Boiler & Prime Mover Equipment: YoY: New Product Value data was reported at 5.140 % in Dec 2010. This records a decrease from the previous number of 20.240 % for Nov 2010. China Boiler & Prime Mover Equipment: YoY: New Product Value data is updated monthly, averaging 10.785 % from Feb 2009 (Median) to Dec 2010, with 22 observations. The data reached an all-time high of 34.140 % in Apr 2009 and a record low of -13.520 % in Feb 2010. China Boiler & Prime Mover Equipment: YoY: New Product Value data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHW: General Equipment: Boiler and Prime Mover Equipment.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Boiler & Prime Mover Equipment: New Product Value: Year to Date data was reported at 105.040 RMB bn in Dec 2010. This records an increase from the previous number of 96.140 RMB bn for Nov 2010. China Boiler & Prime Mover Equipment: New Product Value: Year to Date data is updated monthly, averaging 53.340 RMB bn from Dec 2001 (Median) to Dec 2010, with 30 observations. The data reached an all-time high of 105.040 RMB bn in Dec 2010 and a record low of 5.375 RMB bn in Jan 2009. China Boiler & Prime Mover Equipment: New Product Value: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHW: General Equipment: Boiler and Prime Mover Equipment.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Historical price and volatility data for Taiwan New Dollar in Mover across different time periods.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Boiler & Prime Mover Equipment: New Product Value data was reported at 8.920 RMB bn in Dec 2010. This records an increase from the previous number of 8.909 RMB bn for Nov 2010. China Boiler & Prime Mover Equipment: New Product Value data is updated monthly, averaging 8.709 RMB bn from Jan 2009 (Median) to Dec 2010, with 24 observations. The data reached an all-time high of 10.484 RMB bn in Jun 2010 and a record low of 5.375 RMB bn in Jan 2009. China Boiler & Prime Mover Equipment: New Product Value data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHW: General Equipment: Boiler and Prime Mover Equipment.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Boiler & Prime Mover Equipment: YoY: New Product Value: Year to Date data was reported at 7.470 % in Dec 2010. This records a decrease from the previous number of 13.980 % for Nov 2010. China Boiler & Prime Mover Equipment: YoY: New Product Value: Year to Date data is updated monthly, averaging 13.670 % from Feb 2009 (Median) to Dec 2010, with 22 observations. The data reached an all-time high of 17.700 % in Jul 2010 and a record low of 2.570 % in Feb 2009. China Boiler & Prime Mover Equipment: YoY: New Product Value: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHW: General Equipment: Boiler and Prime Mover Equipment.
https://fred.stlouisfed.org/legal/https://fred.stlouisfed.org/legal/
Graph and download economic data for 12-Month Moving Average of Unweighted Median Hourly Wage Growth for the New England Census Division (FRBATLWGT12MMUMHWGNECD) from Dec 1997 to Apr 2025 about New England Census Division, growth, moving average, 1-year, average, wages, median, and USA.
Statistics for moving services in new-hope including costs, move sizes, and other relevant data as of May 2025.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Historical price and volatility data for Taiwan New Dollar in Mover across different time periods.
https://www.icpsr.umich.edu/web/ICPSR/studies/34976/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34976/terms
Nearly 9 million Americans live in extreme-poverty neighborhoods, places that also tend to be racially segregated and dangerous. Yet, the effects on the well-being of residents of moving out of such communities into less distressed areas remain uncertain. Moving to Opportunity (MTO) is a randomized housing experiment administered by the United States Department of Housing and Urban Development that gave low-income families living in high-poverty areas in five cities the chance to move to lower-poverty areas. Families were randomly assigned to one of three groups: (1) The experimental group (also called the low-poverty voucher (LPV) group) received Section 8 rental assistance certificates or vouchers that they could use only in census tracts with 1990 poverty rates below 10 percent. The families received mobility counseling and help in leasing a new unit. One year after relocating, families could use their voucher to move again if they wished, without any special constraints on location. (2) The Section 8 group (also called the traditional voucher (TRV) group) received regular Section 8 certificates or vouchers that they could use anywhere; these families received no special mobility counseling. (3) The control group received no certificates or vouchers through MTO, but continued to be eligible for project-based housing assistance and whatever other social programs and services to which they would otherwise be entitled. Families were tracked from baseline (1994-98) through the long-term evaluation survey fielding period (2008-10) with the purpose of determining the effects of "neighborhood" on participating families. This data collection contains data from the 3,273 adult interviews completed as part of the MTO long-term evaluation and are comprised of adult variables that have been analyzed. Using data from the long-term evaluation, the associated article reports that moving from a high-poverty to lower-poverty neighborhood leads to long-term (10- to 15-year) improvements in adult physical and mental health and subjective well-being, despite not affecting economic self-sufficiency. The data contain all adult outcomes and mediators analyzed for the associated article as well as a variety of demographic and other baseline measures that were controlled for in the analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
41 Global export shipment records of Prime Mover with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
0 Active Global Of prime mover suppliers, manufacturers list and Global Of prime mover exporters directory compiled from actual Global export shipments of Of prime mover.
With Speedeon's New Mover Data, you can market to movers when it matters most. Each year, 36 million people move. During the year surrounding this big life event, movers make approximately 72 brand-related decisions and spend nearly $9,000. For brands that offer products and services, especially top of mind for those in the "moving mindset", reaching individuals at the exact right time is key.
Speedeon's mover data is ideal for customer acquisition, retention and CRM matching, especially for products like - Financial services and loan products - Subscription services - Entertainment - Local businesses like gyms and restaurants - Furniture and appliances - Home improvements - Moving services - Banking services
Our data includes key data points including name, address, phone and email.
A sample of Speedeon's new mover data sources include: - Change of address forms including subscriptions - U.S. census bureau - County records, courthouse filings & title companies - Telco records including phone, utility and cable connects & disconnects - Real estate agency and records - Sale by owner sites and pending sales - Newspapers and other online publications
Speedeon's mover data is updated daily and undergoes additional data enhancements and verifications such as CASS and NCOA. In addition, our New Mover Data undergoes rigorous analysis, quality assessment and third-party verification.