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List of 48,349 Zip Codes + 283 Geo-Demographics Attributes (City, State, Population Density, Household Income, Age Group, Employment, Educational Attainment and etc)
List of 48,349 Zip Codes + 283 Geo-Demographics Attributes (City, State, Population Density, Household Income, Age Group, Employment, Educational Attainment and etc)
List of 48,349 Zip Codes + 283 Geo-Demographics Attributes (City, State, Population Density, Household Income, Age Group, Employment, Educational Attainment and etc)
List of 48,349 Zip Codes + 283 Geo-Demographics Attributes (City, State, Population Density, Household Income, Age Group, Employment, Educational Attainment and etc)
List of 48,349 Zip Codes + 283 Geo-Demographics Attributes (City, State, Population Density, Household Income, Age Group, Employment, Educational Attainment and etc)
List of 48,349 Zip Codes + 283 Geo-Demographics Attributes (City, State, Population Density, Household Income, Age Group, Employment, Educational Attainment and etc)
List of 48,349 Zip Codes + 283 Geo-Demographics Attributes (City, State, Population Density, Household Income, Age Group, Employment, Educational Attainment and etc)

List of 48,349 Zip Codes + 283 Geo-Demographics Attributes (City, State, Population Density, Household Income, Age Group, Employment, Educational Attainment and etc)

TL;DR

    • The most Comprehensive database of more than 48,349 US Zip Codes for Geo-Demographics Location Based Segmentation and Targeting
    • 283 fields of geo-demographics data attributes from City, State, County, Population Density to Household Income, Age group, Marital Status, Employment, Educational Attainment, Commuting Time and more
    • Extensive. Reliable. Accurate. Built from the ground up using open source data obtained from only credible data sources.
    • Use Casese: sizing up market, macro and micro geo-location targeting, geo-demographics consumer profiling and segmentation, geo-demographics acquisition, optimization and testing, location based attribution, personalization with location and more
    • Customer satisfaction guaranteed: once you buy the dataset - you own it (no APIs, no hidden fees, no recurring payments)

The Most Comprehensive Dataset of U.S. Zip Codes For Location Based Marketing Segmentation

datasetDB have consolidated the finest database of more than 48,349 US Zip Codes providing you with a snapshot view that you can immediately use for business decision making. We offer the most comprehensive dataset of US Zip Codes to use for Geo-Demographics Location Based Segmentation and Targeting. 283 fields of data attributes are covering wide range of geo-demographics from the "basic" geo-location stats such as City, State, County, Population Density, Latitude | Longitude to more "advanced" such as Gender, Household Income, Age, Material Status, Employment, Occupation, Educational Attainment, Commuting Time and more (Open Tech Specs tab for a complete list of fields). Our dataset is intuitively designed so you can download the information you need in minutes. 

Extensive. Reliable. Accurate.

Geo-Demographics Zip Codes dataset is built from the ground up using open source data obtained from only credible data sources. This includes the US Census, U.S. Postal Service, IRS, National Weather Service, the American Community Survey and other open-source data sources. datasetsDB’s  Geo-Demographics Zip Codes data was not only compiled from the official government data sources but the data was verified and cross-referenced from multiple data sources to ensure the data accuracy.

Start Making Robust Data Driven Decisions and Save Hours of manual work.

We take away any guesswork by providing the most comprehensive database of US Zip Codes to give you a precise view of your customer. We have done all the hard work by researching and amalgamating various credible data sources to provide a comprehensive database of zip codes with dozens of dimensions to help you target market accurately. With more than 48,349 US zip codes and 283 unique fields to help you can not only size up your market potential, ascertain if the locality has an appetite for your product or service but you can analyze, profile and segment your customers database to identify unique opportunities to grow your business. 

Worry-Free Licensing (You Own The Dataset. No recurring fees or hidden charges.) 

Upon paying for the database, you will download and own the dataset. There are no subscriptions and no hidden fees. So you pay once and you own the dataset forever. It's easy to download and use (it takes less than 30 minutes to download, append and start using Geo-Demographic list of US Zip Codes).

 

  1. Access the Dataset – After purchasing, you’ll be able to access a dataset. Next, you can download the datasets either in CSV or SQL file format. Along with the dataset, you will receive access to step-by-step instructions on how to use it.
how upload csv file to the database  
  1. Upload the Datasets to your CRM environment:
    1. You will need to create a table in your CRM environment to ‘host’ the dataset.
    2. You will receive the instructions with all the specifics including table fields, data types, etc
  1. Append the Dataset to your customer data: using left join, join or a zip code from our dataset to your customer's zip code to append 283 geo-demographics dimensions.

Now, in a matter of minutes, you can create customer profiles, identify new opportunity, implement marketing segmentation and re-targeting across specific micro-local market and ultimately grow your business, improve profitability and save marketing budget by improving ROI


Attribute Data Type Description
Zipcode str zip code
Zipcode Type str one of “Standard”, “PO Box”, “Unique”
Major City str
Post Office City str
Common City List str list
County str
State str state two letters abbreviation
Area Code List str list
Latitude float, lat
Langitude float, lng
Timezone str
Radius float
Land Area in Square Miles number, sqmi
Water Area in Square Miles number, sqmi
Bound West number
Bound East number
Bound North number
Bound South number
Population number
Population Density number total population per sqmi
Population 2005 number population change over year
Population 2006 number population change over year
Population 2007 number population change over year
Population 2008 number population change over year
Population 2009 number population change over year
Population 2010 number population change over year
Population 2011 number population change over year
Population 2012 number population change over year
Population 2013 number population change over year
Population 2014 number population change over year
Population 2015 number population change over year
Male Under 5 Population number population distribution by gender and age
Male 5-9 Years Old Population number population distribution by gender and age
Male 10-14 Years Old Population number population distribution by gender and age
Male 15-19 Years Old Population number population distribution by gender and age
Male 20-24 Years Old Population number population distribution by gender and age
Male 25-29 Years Old Population number population distribution by gender and age
Male 30-34 Years Old Population number population distribution by gender and age
Male 35-39 Years Old Population number population distribution by gender and age
Male 40-44 Years Old Population number population distribution by gender and age
Male 45-49 Years Old Population number population distribution by gender and age
Male 50-54 Years Old Population number population distribution by gender and age
Male 55-59 Years Old Population number population distribution by gender and age
Male 60-64 Years Old Population number population distribution by gender and age
Male 65-69 Years Old Population number population distribution by gender and age
Male 70-74 Years Old Population number population distribution by gender and age
Male 75-79 Years Old Population number population distribution by gender and age
Male 80-84 Years Old Population number population distribution by gender and age
Male 85+ Years Old Population number population distribution by gender and age
Female Under 5 Population number population distribution by gender and age
Female 5-9 Years Old Population number population distribution by gender and age
Female 10-14 Years Old Population number population distribution by gender and age
Female 15-19 Years Old Population number population distribution by gender and age
Female 20-24 Years Old Population number population distribution by gender and age
Female 25-29 Years Old Population number population distribution by gender and age
Female 30-34 Years Old Population number population distribution by gender and age
Female 35-39 Years Old Population number population distribution by gender and age
Female 40-44 Years Old Population number population distribution by gender and age
Female 45-49 Years Old Population number population distribution by gender and age
Female 50-54 Years Old Population number population distribution by gender and age
Female 55-59 Years Old Population number population distribution by gender and age
Female 60-64 Years Old Population number population distribution by gender and age
Female 65-69 Years Old Population number population distribution by gender and age
Female 70-74 Years Old Population number population distribution by gender and age
Female 75-79 Years Old Population number population distribution by gender and age
Female 80-84 Years Old Population number population distribution by gender and age
Female 85+ Years Old Population number population distribution by gender and age
White Population number population distribution by race
Black Population number population distribution by race
American Indian Population number population distribution by race
Asian Population number population distribution by race
Hawaiian Population number population distribution by race
Other Population number population distribution by race
Two or more races number population distribution by race
Household head (Owner) age 15-24 number head of household distribution by age
Household head (Owner) age 25-34 number head of household distribution by age
Household head (Owner) age 35-44 number head of household distribution by age
Household head (Owner) age 45-54 number head of household distribution by age
Household head (Owner) age 55-64 number head of household distribution by age
Household head (Owner) age 65-74 number head of household distribution by age
Household head (Owner) age 75-84 number head of household distribution by age
Household head (Owner) age 85+ number head of household distribution by age
Household head (Renter) age 15-24 number head of household distribution by age
Household head (Renter) age 25-34 number head of household distribution by age
Household head (Renter) age 35-44 number head of household distribution by age
Household head (Renter) age 45-54 number head of household distribution by age
Household head (Renter) age 55-64 number head of household distribution by age
Household head (Renter) age 65-74 number head of household distribution by age
Household head (Renter) age 75-84 number head of household distribution by age
Household head (Renter) age 85+ number head of household distribution by age
Husband & wife household number population distribution by marital status
Single guardian household number population distribution by marital status
Singles household number population distribution by marital status
Singles with roommates household number population distribution by marital status
Household without kids number population by with or without kids
Household with kids number population by with or without kids
0 year old male children number children population distribution by age
1 year old male children number children population distribution by age
2 years old male children number children population distribution by age
3 years old male children number children population distribution by age
4 years old male children number children population distribution by age
5 years old male children number children population distribution by age
6 years old male children number children population distribution by age
7 years old male children number children population distribution by age
8 years old male children number children population distribution by age
9 years old male children number children population distribution by age
10 years old male children number children population distribution by age
11 years old male children number children population distribution by age
12 years old male children number children population distribution by age
13 years old male children number children population distribution by age
14 years old male children number children population distribution by age
15 years old male children number children population distribution by age
16 years old male children number children population distribution by age
17 years old male children number children population distribution by age
18 years old male children number children population distribution by age
19 years old male children number children population distribution by age
1 year old female children number children population distribution by age
2 years old female children number children population distribution by age
3 years old female children number children population distribution by age
4 years old female children number children population distribution by age
5 years old female children number children population distribution by age
6 years old female children number children population distribution by age
7 years old female children number children population distribution by age
8 years old female children number children population distribution by age
9 years old female children number children population distribution by age
10 years old female children number children population distribution by age
11 years old female children number children population distribution by age
12 years old female children number children population distribution by age
13 years old female children number children population distribution by age
14 years old female children number children population distribution by age
15 years old female children number children population distribution by age
16 years old female children number children population distribution by age
17 years old female children number children population distribution by age
18 years old female children number children population distribution by age
19 years old female children number children population distribution by age
Housing units int housing units
Occupied housing units int occupid housing units
Median home value int Median home value
Median household income int Median household income
Housing type: In occupied housing units int number of house distribution of house type
Housing type: Juvenile facilities int number of house distribution of house type
Housing type: Nursing facilities int number of house distribution of house type
Housing type: Other institutional int number of house distribution of house type
Housing type: College student housing int number of house distribution of house type
Housing type: Military quarters int number of house distribution of house type
Housing type: Other noninstitutional int number of house distribution of house type
House built before 1939 int number of house distribution of built year
House built in 1940s int number of house distribution of built year
House built in 1950s int number of house distribution of built year
House built in 1960s int number of house distribution of built year
House built in 1970s int number of house distribution of built year
House built in 1980s int number of house distribution of built year
House built in 1990s int number of house distribution of built year
House built in 2000s int number of house distribution of built year
House built in 2010s int number of house distribution of built year
Owned household: with mortgage int number of house by occupancy status
Owned household: free & clear int number of house by occupancy status
Renter occupied household int number of house by occupancy status
Vacant household int number of house by occupancy status
Vancant reason: for rent int number of house by vancancy reason
Vancant reason: rented - unoccupied  int number of house by vancancy reason
Vancant reason: for sale only int number of house by vancancy reason
Vancant reason: sold - unoccupied int number of house by vancancy reason
Vancant reason: for seasonal recreation int number of house by vancancy reason
Vancant reason: for migrant workers int number of house by vancancy reason
Vancant reason: other reasons int number of house by vancancy reason
Owner occupied home value: less than 24999 dollars int number of house by home values
Owner occupied home value: 25000-49999 dollars int number of house by home values
Owner occupied home value: 50000_99999 dollars int number of house by home values
Owner occupied home value: 100000_149999 dollars int number of house by home values
Owner occupied home value: 150000_199999 dollars int number of house by home values
Owner occupied home value: 200000_399999 dollars int number of house by home values
Owner occupied home value: 400000_749999 dollars int number of house by home values
Owner occupied home value: 750000+ dollars int number of house by home values
Rental preperties: studio int number of rental properties by number of rooms
Rental preperties: 1b int number of rental properties by number of rooms
Rental preperties: 2b int number of rental properties by number of rooms
Rental preperties: 3b or more int number of rental properties by number of rooms
Studio rent: less than 200 dollars int monthly rent including utilities - studio apt
Studio rent: 200-299 dollars int monthly rent including utilities - studio apt
Studio rent: 300-499 dollars int monthly rent including utilities - studio apt
Studio rent: 500-749 dollars int monthly rent including utilities - studio apt
Studio rent: 750-999 dollars int monthly rent including utilities - studio apt
Studio rent: 1000+ dollars int monthly rent including utilities - studio apt
1b rent: less than 200 dollars int monthly rent including utilities - 1 bedroom
1b rent: 200-299 dollars int monthly rent including utilities - 1 bedroom
1b rent: 300-499 dollars int monthly rent including utilities - 1 bedroom
1b rent: 500-749 dollars int monthly rent including utilities - 1 bedroom
1b rent: 750-999 dollars int monthly rent including utilities - 1 bedroom
1b rent: 1000+ dollars int monthly rent including utilities - 1 bedroom
2b rent: less than 200 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 200-299 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 300-499 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 500-749 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 750-999 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 1000+ dollars int monthly rent including utilities - 2 bedrooms
3b+ rent: less than 200 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 200-299 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 300-499 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 500-749 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 750-999 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 1000+ dollars int monthly rent including utilities - 3 bedrooms
Employment status: full time int employment status
Employment status: part time int employment status
Employment status: no earning int employment status
Average household income: 2005 int average household income over time
Average household income: 2006 int average household income over time
Average household income: 2007 int average household income over time
Average household income: 2008 int average household income over time
Average household income: 2009 int average household income over time
Average household income: 2010 int average household income over time
Average household income: 2011 int average household income over time
Average household income: 2012 int average household income over time
Average household income: 2013 int average household income over time
Average household income: 2014 int average household income over time
Average household income: 2015 int average household income over time
Household income: less than 25000 dollars int household income
Household income: 25000-44999 dollars int household income
Household income: 45000-59999 dollars int household income
Household income: 60000-99999 dollars int household income
Household income: 100000-149999 dollars int household income
Household income: 150000-199999 dollars int household income
Household income: 200000+ dollars int household income
Annual individual earnings: less than 10000 dollars int annual individual earnings distribution
Annual individual earnings: 10000_19999 dollars int annual individual earnings distribution
Annual individual earnings: 20000_29999 dollars int annual individual earnings distribution
Annual individual earnings: 30000_39999 dollars int annual individual earnings distribution
Annual individual earnings: 40000_49999 dollars int annual individual earnings distribution
Annual individual earnings: 50000_64999 dollars int annual individual earnings distribution
Annual individual earnings: 65000_74999 dollars int annual individual earnings distribution
Annual individual earnings: 75000_99999 dollars int annual individual earnings distribution
Annual individual earnings: 100000+ dollars int annual individual earnings distribution
Sources of household income - percent of households receiving income: wage float sources of household income - percent of households receiving income
Sources of household income - percent of households receiving income: business float sources of household income - percent of households receiving income
Sources of household income - percent of households receiving income: partnership float sources of household income - percent of households receiving income
Sources of household income - percent of households receiving income: unemployment float sources of household income - percent of households receiving income
Sources of household income - average households receiving income: wage float sources of household income - average income per household by income_source
Sources of household income - average households receiving income: business float sources of household income - average income per household by income_source
Sources of household income - average households receiving income: partnership float sources of household income - average income per household by income_source
Sources of household income - average households receiving income: unemployment float sources of household income - average income per household by income_source
Investment income - percent of households receiving income: interest float household investment income - percent of households receiving investment income
Investment income - percent of households receiving income: ordinary dividends float household investment income - percent of households receiving investment income
Investment income - percent of households receiving income: qualified dividends float household investment income - percent of households receiving investment income
Investment income - percent of households receiving income: capital gains float household investment income - percent of households receiving investment income
Investment income - average households receiving income: interest float household investment income - average income per household by income source
Investment income - average households receiving income: ordinary dividends float household investment income - average income per household by income source
Investment income - average households receiving income: qualified dividends float household investment income - average income per household by income source
Investment income - average households receiving income: capital gains float household investment income - average income per household by income source
Retirement income - percent of households receiving income: ira distribution float household retirement income - percent of households receiving retirement income
Retirement income - percent of households receiving income: pensions float household retirement income - percent of households receiving retirement income
Retirement income - percent of households receiving income: social security float household retirement income - percent of households receiving retirement income
Retirement income - average households receiving income: ira distribution float household retirement income - average income per household by income source
Retirement income - average households receiving income: pensions float household retirement income - average income per household by income source
Retirement income - average households receiving income: social security float household retirement income - average income per household by income source
Source of earning: full time int Source of earnings
Source of earning: part time int Source of earnings
Source of earning: no earnings int Source of earnings
Mean of transportation: car int means of transportation to work for workers 16 and over
Mean of transportation: pubilc transportation int means of transportation to work for workers 16 and over
Mean of transportation: cab int means of transportation to work for workers 16 and over
Mean of transportation: motorcycle int means of transportation to work for workers 16 and over
Mean of transportation: bike int means of transportation to work for workers 16 and over
Mean of transportation: work at home int means of transportation to work for workers 16 and over
Commuting time: less than 10 mins int travel time to work in minutes
Commuting time: 10_19 mins int travel time to work in minutes
Commuting time: 20_29 mins int travel time to work in minutes
Commuting time: 30_39 mins int travel time to work in minutes
Commuting time: 40_44 mins int travel time to work in minutes
Commuting time: 45_59 mins int travel time to work in minutes
Commuting time: 60_89 mins int travel time to work in minutes
Commuting time: 90+ mins int travel time to work in minutes
Educational attainment for population 25 and over: less than high school int educational attainment for population 25 and over
Educational attainment for population 25 and over: high school int educational attainment for population 25 and over
Educational attainment for population 25 and over: associate degree int educational attainment for population 25 and over
Educational attainment for population 25 and over: bachelor degree int educational attainment for population 25 and over
Educational attainment for population 25 and over: master degree int educational attainment for population 25 and over
Educational attainment for population 25 and over: professional school degree int educational attainment for population 25 and over
Educational attainment for population 25 and over: phd int educational attainment for population 25 and over
School enrollment age 3 to 17: public school int school enrollment age 3 to 17
School enrollment age 3 to 17: private school int school enrollment age 3 to 18
School enrollment age 3 to 17: none int school enrollment age 3 to 19

 

 

Size Up Your Market without Leaving Your Seat

Use our US zip codes geographic data to size up a location’s market potential. Our data is paired with vital market sizing statistics such as population density and population size over-the-years. With this information, you can decide if the location is big enough for a new player, oversaturated, ascertain its growth trajectory or establish if it’s a sunset location with little opportunities. This information will steer you away from the pitfalls of entering markets with no potential. Similarly, you can now pin down locations that offer ample room for business expansion.

Optimize Your Marketing Dollars with Location-Based Segmentation

You can build powerful audience segments by combining location-based data with consumer usage insights on social media platforms.

For example, if you operate a gym, fitness center or sell fitness equipment, you can use our location-based data to identify your catchment area. Pair the selected location with a high conversion potential to build an audience of fitness enthusiasts. Then, combine the location information with another behavioral attribute by targeting individuals who visit a gym twice a month and have been to fitness stores in the past 3 months.

By leveraging on locational and behavioral attributes, your marketing efforts will reach the right people and save you weeks and multiple cycles of optimization.

Expand Your Business to New Locations with Location-Based Targeting

Our database contains location Intelligence to help you execute high-conversion geomarketing campaigns. Pairing our multivariate demographic data information such as market size by gender, age, and household income indicators, you can use our datasets to target new clients in a flourishing district based on zip code.

Location-based targeting or geolocation marketing helps you serve up promotional messages to individuals the moment they step within the targeted geographic location. You can present your call-to-action (CTA) when a user enters a predefined geographic location. And these marketing messages can be delivered via a push notification, media buying tools that deliver ads or other programmatic media buys.

To improve client acquisition with locational information, start by defining your catchment area. Then work with your SMS service provider and target individuals who are close to your retail outlet or venue.

Measure the Effect of Advertising with Location-Based Attribution

Use location-based data to measure the efficacy of your offline marketing initiatives in the digital realm. Location-based attribution allows you to measure how and where a consumer moves, and their various touchpoints before making a purchase. Location-based attribution is unrivaled information as this knowledge allows you to bridge any gaps between your Facebook, keyword buys or programmatic ad buys with your offline sales initiatives. This translates to a higher conversion rate from lead generation. Thus improving your return per marketing dollar invested.


Create Engaging and Personalized Communications with Location-Based Data

Customize your marketing messages by leveraging on location-based data of your clients. To exemplify, you can trigger an exclusive discount for purchase, or a gift-with-purchase offer to repeat customers from specific locations.

By customizing your communication, you can improve client engagement, build strong relationships and move your client from the “consideration” to the “purchase” stage.

Drive Foot Traffic and Sales Conversion Strategically

Our datasets can be used to drive seasonal sales, weekend sales, and mid-week extravaganzas to bolster low traffic periods and increase foot traffic to your store.

Besides, our database will navigate you through the process of identifying new catchment areas to draw customers. With this information, you can locate where to run your next marketing campaign, or which area to set up your new store.

Essentially, you can now transform insightful locational data into measurable business outcomes with our datasets.

Marketing the Right Product for the Season

Use our database to market seasonal products. For example, as an apparel retailer or manufacturer, you can use our database to promote winter gear for several months leading up to late fall. Target market to potential clients in the Midwest and northern regions of the United States only, notoriously known for its harsher weather.
To target locations that are sunny all year round, beach attire marketers use our datasets to target zip codes in California and Florida.


Acquire the Right Customers from the Start

Every dollar investment counts. And our database will help you deliver high returns on investment.
 
Pair our demographic datasets with locational data to cherry-pick your prime target market. For example, to recruit new customers for child care services, early learning, and child enrichment businesses, target locations with a higher population of children per household below 12 years and with a predetermined average household income.
 
Companies specializing in gardening equipment can market lawnmowers to rural communities where most residents have a big garden. But for city dwellers, these companies can serve up digital campaigns that promote weed trimmers or leaf blowers for manicuring lawns or sidewalks.
 
Our locational data is enriched with demographic data sets that you can use for digital marketing campaigns. Zoom down and target a location you have identified. Funnel the lead to your sales team and let them warm the call. Finally, pitch the product or service based on the individual’s needs and watch your conversion rates improve.
With high-quality leads, you can optimize your sales funnel, increase conversion rates and improve retargeting rates.




How will I receive the data package?

Immediately after your purchase (or download a free sample), you will receive a confirmation email with the download link and your receipt. The email will also include all the necessary instruction on how to use the dataset.

Are my payment details secure?

Yes. Payments take place over a secure, encrypted connection and we do not store or record your card details.

Do you provide a discount for charities and non-profit organizations?

Yes. If you’re buying on behalf of a registered charity or non-profit organization, please contact us. We are more than happy to provide you with a 25% discount on all purchase

What is included in the dataset?

You will receive a CSV and SQL files that include 2 columns: First Name and Gender. Each Name will be classified as either Male | Female | Unisex

What do I do once I receive the data?

DatasetsDB has made the entire process of buying and accessing datasets very simple. Once you have chosen and purchased the data, you can start using that data right away:

  1. You will receive an email with instructions on how to use the dataset, and a link where to download the data package. The data package comes in 2 formats: CSV file and SQL file (same data, two different formats).
  2. You will need to create a table in your CRM environment to "host" the dataset
  3. You will need to upload a dataset file to the table you just created.
  4. Now you are good to go! You can now use the dataset to match (join) with your customer’s data using 'key joining column'.

Once I buy the dataset – do I own it?

Yes! You own the data file but please note that it cannot be transferred or resold. The file you purchase from datasetsDB.com can be used for your business only.

Can I “return” the datasets and receive a refund?

Yes, you can! When we say that customer’s satisfaction guaranteed – we really mean it! If you decided to “return” your package – you’ll get all your money back, no questions asked

 



How will I receive the data package?

Immediately after your purchase, you will receive a confirmation email with the download link and your receipt. The email will also include all the necessary instruction on how to use the dataset.

Are my payment details secure?

Yes. Payments take place over a secure, encrypted connection and we do not store or record your card details.

Do you provide a discount for charities and non-profit organizations?

Yes. If you’re buying on behalf of a registered charity or non-profit organization, please contact us. We are more than happy to provide you with a 25% discount on all purchase

What is included in the dataset?

You will receive a CSV and SQL files that include 2 columns: First Name and Gender. Each Name will be classified as either Male | Female | Unisex

What do I do once I receive the data?

DatasetsDB has made the entire process of buying and accessing datasets very simple. Once you have chosen and purchased the data, you can start using that data right away:

  1. You will receive an email with instructions on how to use the dataset, and a link where to download the data package. The data package comes in 2 formats: CSV file and SQL file (same data, two different formats).
  2. You will need to create a table in your CRM environment to "host" the dataset
  3. You will need to upload a dataset file to the table you just created.
  4. Now you are good to go! You can now use the dataset to match (join) with your customer’s data using 'key joining column'.

Once I buy the dataset – do I own it?

Yes! You own the data file but please note that it cannot be transferred or resold. The file you purchase from datasetsDB.com can be used for your business only.

Can I “return” the datasets and receive a refund?

Yes, you can! When we say that customer’s satisfaction guaranteed – we really mean it! If you decided to “return” your package – you’ll get all your money back, no questions asked

 

Dataset Description

TL;DR

    • The most Comprehensive database of more than 48,349 US Zip Codes for Geo-Demographics Location Based Segmentation and Targeting
    • 283 fields of geo-demographics data attributes from City, State, County, Population Density to Household Income, Age group, Marital Status, Employment, Educational Attainment, Commuting Time and more
    • Extensive. Reliable. Accurate. Built from the ground up using open source data obtained from only credible data sources.
    • Use Casese: sizing up market, macro and micro geo-location targeting, geo-demographics consumer profiling and segmentation, geo-demographics acquisition, optimization and testing, location based attribution, personalization with location and more
    • Customer satisfaction guaranteed: once you buy the dataset - you own it (no APIs, no hidden fees, no recurring payments)

The Most Comprehensive Dataset of U.S. Zip Codes For Location Based Marketing Segmentation

datasetDB have consolidated the finest database of more than 48,349 US Zip Codes providing you with a snapshot view that you can immediately use for business decision making. We offer the most comprehensive dataset of US Zip Codes to use for Geo-Demographics Location Based Segmentation and Targeting. 283 fields of data attributes are covering wide range of geo-demographics from the "basic" geo-location stats such as City, State, County, Population Density, Latitude | Longitude to more "advanced" such as Gender, Household Income, Age, Material Status, Employment, Occupation, Educational Attainment, Commuting Time and more (Open Tech Specs tab for a complete list of fields). Our dataset is intuitively designed so you can download the information you need in minutes. 

Extensive. Reliable. Accurate.

Geo-Demographics Zip Codes dataset is built from the ground up using open source data obtained from only credible data sources. This includes the US Census, U.S. Postal Service, IRS, National Weather Service, the American Community Survey and other open-source data sources. datasetsDB’s  Geo-Demographics Zip Codes data was not only compiled from the official government data sources but the data was verified and cross-referenced from multiple data sources to ensure the data accuracy.

Start Making Robust Data Driven Decisions and Save Hours of manual work.

We take away any guesswork by providing the most comprehensive database of US Zip Codes to give you a precise view of your customer. We have done all the hard work by researching and amalgamating various credible data sources to provide a comprehensive database of zip codes with dozens of dimensions to help you target market accurately. With more than 48,349 US zip codes and 283 unique fields to help you can not only size up your market potential, ascertain if the locality has an appetite for your product or service but you can analyze, profile and segment your customers database to identify unique opportunities to grow your business. 

Worry-Free Licensing (You Own The Dataset. No recurring fees or hidden charges.) 

Upon paying for the database, you will download and own the dataset. There are no subscriptions and no hidden fees. So you pay once and you own the dataset forever. It's easy to download and use (it takes less than 30 minutes to download, append and start using Geo-Demographic list of US Zip Codes).

 

How It Works

  1. Access the Dataset – After purchasing, you’ll be able to access a dataset. Next, you can download the datasets either in CSV or SQL file format. Along with the dataset, you will receive access to step-by-step instructions on how to use it.
how upload csv file to the database  
  1. Upload the Datasets to your CRM environment:
    1. You will need to create a table in your CRM environment to ‘host’ the dataset.
    2. You will receive the instructions with all the specifics including table fields, data types, etc
  1. Append the Dataset to your customer data: using left join, join or a zip code from our dataset to your customer's zip code to append 283 geo-demographics dimensions.

Now, in a matter of minutes, you can create customer profiles, identify new opportunity, implement marketing segmentation and re-targeting across specific micro-local market and ultimately grow your business, improve profitability and save marketing budget by improving ROI

Tech Specs


Attribute Data Type Description
Zipcode str zip code
Zipcode Type str one of “Standard”, “PO Box”, “Unique”
Major City str
Post Office City str
Common City List str list
County str
State str state two letters abbreviation
Area Code List str list
Latitude float, lat
Langitude float, lng
Timezone str
Radius float
Land Area in Square Miles number, sqmi
Water Area in Square Miles number, sqmi
Bound West number
Bound East number
Bound North number
Bound South number
Population number
Population Density number total population per sqmi
Population 2005 number population change over year
Population 2006 number population change over year
Population 2007 number population change over year
Population 2008 number population change over year
Population 2009 number population change over year
Population 2010 number population change over year
Population 2011 number population change over year
Population 2012 number population change over year
Population 2013 number population change over year
Population 2014 number population change over year
Population 2015 number population change over year
Male Under 5 Population number population distribution by gender and age
Male 5-9 Years Old Population number population distribution by gender and age
Male 10-14 Years Old Population number population distribution by gender and age
Male 15-19 Years Old Population number population distribution by gender and age
Male 20-24 Years Old Population number population distribution by gender and age
Male 25-29 Years Old Population number population distribution by gender and age
Male 30-34 Years Old Population number population distribution by gender and age
Male 35-39 Years Old Population number population distribution by gender and age
Male 40-44 Years Old Population number population distribution by gender and age
Male 45-49 Years Old Population number population distribution by gender and age
Male 50-54 Years Old Population number population distribution by gender and age
Male 55-59 Years Old Population number population distribution by gender and age
Male 60-64 Years Old Population number population distribution by gender and age
Male 65-69 Years Old Population number population distribution by gender and age
Male 70-74 Years Old Population number population distribution by gender and age
Male 75-79 Years Old Population number population distribution by gender and age
Male 80-84 Years Old Population number population distribution by gender and age
Male 85+ Years Old Population number population distribution by gender and age
Female Under 5 Population number population distribution by gender and age
Female 5-9 Years Old Population number population distribution by gender and age
Female 10-14 Years Old Population number population distribution by gender and age
Female 15-19 Years Old Population number population distribution by gender and age
Female 20-24 Years Old Population number population distribution by gender and age
Female 25-29 Years Old Population number population distribution by gender and age
Female 30-34 Years Old Population number population distribution by gender and age
Female 35-39 Years Old Population number population distribution by gender and age
Female 40-44 Years Old Population number population distribution by gender and age
Female 45-49 Years Old Population number population distribution by gender and age
Female 50-54 Years Old Population number population distribution by gender and age
Female 55-59 Years Old Population number population distribution by gender and age
Female 60-64 Years Old Population number population distribution by gender and age
Female 65-69 Years Old Population number population distribution by gender and age
Female 70-74 Years Old Population number population distribution by gender and age
Female 75-79 Years Old Population number population distribution by gender and age
Female 80-84 Years Old Population number population distribution by gender and age
Female 85+ Years Old Population number population distribution by gender and age
White Population number population distribution by race
Black Population number population distribution by race
American Indian Population number population distribution by race
Asian Population number population distribution by race
Hawaiian Population number population distribution by race
Other Population number population distribution by race
Two or more races number population distribution by race
Household head (Owner) age 15-24 number head of household distribution by age
Household head (Owner) age 25-34 number head of household distribution by age
Household head (Owner) age 35-44 number head of household distribution by age
Household head (Owner) age 45-54 number head of household distribution by age
Household head (Owner) age 55-64 number head of household distribution by age
Household head (Owner) age 65-74 number head of household distribution by age
Household head (Owner) age 75-84 number head of household distribution by age
Household head (Owner) age 85+ number head of household distribution by age
Household head (Renter) age 15-24 number head of household distribution by age
Household head (Renter) age 25-34 number head of household distribution by age
Household head (Renter) age 35-44 number head of household distribution by age
Household head (Renter) age 45-54 number head of household distribution by age
Household head (Renter) age 55-64 number head of household distribution by age
Household head (Renter) age 65-74 number head of household distribution by age
Household head (Renter) age 75-84 number head of household distribution by age
Household head (Renter) age 85+ number head of household distribution by age
Husband & wife household number population distribution by marital status
Single guardian household number population distribution by marital status
Singles household number population distribution by marital status
Singles with roommates household number population distribution by marital status
Household without kids number population by with or without kids
Household with kids number population by with or without kids
0 year old male children number children population distribution by age
1 year old male children number children population distribution by age
2 years old male children number children population distribution by age
3 years old male children number children population distribution by age
4 years old male children number children population distribution by age
5 years old male children number children population distribution by age
6 years old male children number children population distribution by age
7 years old male children number children population distribution by age
8 years old male children number children population distribution by age
9 years old male children number children population distribution by age
10 years old male children number children population distribution by age
11 years old male children number children population distribution by age
12 years old male children number children population distribution by age
13 years old male children number children population distribution by age
14 years old male children number children population distribution by age
15 years old male children number children population distribution by age
16 years old male children number children population distribution by age
17 years old male children number children population distribution by age
18 years old male children number children population distribution by age
19 years old male children number children population distribution by age
1 year old female children number children population distribution by age
2 years old female children number children population distribution by age
3 years old female children number children population distribution by age
4 years old female children number children population distribution by age
5 years old female children number children population distribution by age
6 years old female children number children population distribution by age
7 years old female children number children population distribution by age
8 years old female children number children population distribution by age
9 years old female children number children population distribution by age
10 years old female children number children population distribution by age
11 years old female children number children population distribution by age
12 years old female children number children population distribution by age
13 years old female children number children population distribution by age
14 years old female children number children population distribution by age
15 years old female children number children population distribution by age
16 years old female children number children population distribution by age
17 years old female children number children population distribution by age
18 years old female children number children population distribution by age
19 years old female children number children population distribution by age
Housing units int housing units
Occupied housing units int occupid housing units
Median home value int Median home value
Median household income int Median household income
Housing type: In occupied housing units int number of house distribution of house type
Housing type: Juvenile facilities int number of house distribution of house type
Housing type: Nursing facilities int number of house distribution of house type
Housing type: Other institutional int number of house distribution of house type
Housing type: College student housing int number of house distribution of house type
Housing type: Military quarters int number of house distribution of house type
Housing type: Other noninstitutional int number of house distribution of house type
House built before 1939 int number of house distribution of built year
House built in 1940s int number of house distribution of built year
House built in 1950s int number of house distribution of built year
House built in 1960s int number of house distribution of built year
House built in 1970s int number of house distribution of built year
House built in 1980s int number of house distribution of built year
House built in 1990s int number of house distribution of built year
House built in 2000s int number of house distribution of built year
House built in 2010s int number of house distribution of built year
Owned household: with mortgage int number of house by occupancy status
Owned household: free & clear int number of house by occupancy status
Renter occupied household int number of house by occupancy status
Vacant household int number of house by occupancy status
Vancant reason: for rent int number of house by vancancy reason
Vancant reason: rented - unoccupied  int number of house by vancancy reason
Vancant reason: for sale only int number of house by vancancy reason
Vancant reason: sold - unoccupied int number of house by vancancy reason
Vancant reason: for seasonal recreation int number of house by vancancy reason
Vancant reason: for migrant workers int number of house by vancancy reason
Vancant reason: other reasons int number of house by vancancy reason
Owner occupied home value: less than 24999 dollars int number of house by home values
Owner occupied home value: 25000-49999 dollars int number of house by home values
Owner occupied home value: 50000_99999 dollars int number of house by home values
Owner occupied home value: 100000_149999 dollars int number of house by home values
Owner occupied home value: 150000_199999 dollars int number of house by home values
Owner occupied home value: 200000_399999 dollars int number of house by home values
Owner occupied home value: 400000_749999 dollars int number of house by home values
Owner occupied home value: 750000+ dollars int number of house by home values
Rental preperties: studio int number of rental properties by number of rooms
Rental preperties: 1b int number of rental properties by number of rooms
Rental preperties: 2b int number of rental properties by number of rooms
Rental preperties: 3b or more int number of rental properties by number of rooms
Studio rent: less than 200 dollars int monthly rent including utilities - studio apt
Studio rent: 200-299 dollars int monthly rent including utilities - studio apt
Studio rent: 300-499 dollars int monthly rent including utilities - studio apt
Studio rent: 500-749 dollars int monthly rent including utilities - studio apt
Studio rent: 750-999 dollars int monthly rent including utilities - studio apt
Studio rent: 1000+ dollars int monthly rent including utilities - studio apt
1b rent: less than 200 dollars int monthly rent including utilities - 1 bedroom
1b rent: 200-299 dollars int monthly rent including utilities - 1 bedroom
1b rent: 300-499 dollars int monthly rent including utilities - 1 bedroom
1b rent: 500-749 dollars int monthly rent including utilities - 1 bedroom
1b rent: 750-999 dollars int monthly rent including utilities - 1 bedroom
1b rent: 1000+ dollars int monthly rent including utilities - 1 bedroom
2b rent: less than 200 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 200-299 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 300-499 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 500-749 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 750-999 dollars int monthly rent including utilities - 2 bedrooms
2b rent: 1000+ dollars int monthly rent including utilities - 2 bedrooms
3b+ rent: less than 200 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 200-299 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 300-499 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 500-749 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 750-999 dollars int monthly rent including utilities - 3 bedrooms
3b+ rent: 1000+ dollars int monthly rent including utilities - 3 bedrooms
Employment status: full time int employment status
Employment status: part time int employment status
Employment status: no earning int employment status
Average household income: 2005 int average household income over time
Average household income: 2006 int average household income over time
Average household income: 2007 int average household income over time
Average household income: 2008 int average household income over time
Average household income: 2009 int average household income over time
Average household income: 2010 int average household income over time
Average household income: 2011 int average household income over time
Average household income: 2012 int average household income over time
Average household income: 2013 int average household income over time
Average household income: 2014 int average household income over time
Average household income: 2015 int average household income over time
Household income: less than 25000 dollars int household income
Household income: 25000-44999 dollars int household income
Household income: 45000-59999 dollars int household income
Household income: 60000-99999 dollars int household income
Household income: 100000-149999 dollars int household income
Household income: 150000-199999 dollars int household income
Household income: 200000+ dollars int household income
Annual individual earnings: less than 10000 dollars int annual individual earnings distribution
Annual individual earnings: 10000_19999 dollars int annual individual earnings distribution
Annual individual earnings: 20000_29999 dollars int annual individual earnings distribution
Annual individual earnings: 30000_39999 dollars int annual individual earnings distribution
Annual individual earnings: 40000_49999 dollars int annual individual earnings distribution
Annual individual earnings: 50000_64999 dollars int annual individual earnings distribution
Annual individual earnings: 65000_74999 dollars int annual individual earnings distribution
Annual individual earnings: 75000_99999 dollars int annual individual earnings distribution
Annual individual earnings: 100000+ dollars int annual individual earnings distribution
Sources of household income - percent of households receiving income: wage float sources of household income - percent of households receiving income
Sources of household income - percent of households receiving income: business float sources of household income - percent of households receiving income
Sources of household income - percent of households receiving income: partnership float sources of household income - percent of households receiving income
Sources of household income - percent of households receiving income: unemployment float sources of household income - percent of households receiving income
Sources of household income - average households receiving income: wage float sources of household income - average income per household by income_source
Sources of household income - average households receiving income: business float sources of household income - average income per household by income_source
Sources of household income - average households receiving income: partnership float sources of household income - average income per household by income_source
Sources of household income - average households receiving income: unemployment float sources of household income - average income per household by income_source
Investment income - percent of households receiving income: interest float household investment income - percent of households receiving investment income
Investment income - percent of households receiving income: ordinary dividends float household investment income - percent of households receiving investment income
Investment income - percent of households receiving income: qualified dividends float household investment income - percent of households receiving investment income
Investment income - percent of households receiving income: capital gains float household investment income - percent of households receiving investment income
Investment income - average households receiving income: interest float household investment income - average income per household by income source
Investment income - average households receiving income: ordinary dividends float household investment income - average income per household by income source
Investment income - average households receiving income: qualified dividends float household investment income - average income per household by income source
Investment income - average households receiving income: capital gains float household investment income - average income per household by income source
Retirement income - percent of households receiving income: ira distribution float household retirement income - percent of households receiving retirement income
Retirement income - percent of households receiving income: pensions float household retirement income - percent of households receiving retirement income
Retirement income - percent of households receiving income: social security float household retirement income - percent of households receiving retirement income
Retirement income - average households receiving income: ira distribution float household retirement income - average income per household by income source
Retirement income - average households receiving income: pensions float household retirement income - average income per household by income source
Retirement income - average households receiving income: social security float household retirement income - average income per household by income source
Source of earning: full time int Source of earnings
Source of earning: part time int Source of earnings
Source of earning: no earnings int Source of earnings
Mean of transportation: car int means of transportation to work for workers 16 and over
Mean of transportation: pubilc transportation int means of transportation to work for workers 16 and over
Mean of transportation: cab int means of transportation to work for workers 16 and over
Mean of transportation: motorcycle int means of transportation to work for workers 16 and over
Mean of transportation: bike int means of transportation to work for workers 16 and over
Mean of transportation: work at home int means of transportation to work for workers 16 and over
Commuting time: less than 10 mins int travel time to work in minutes
Commuting time: 10_19 mins int travel time to work in minutes
Commuting time: 20_29 mins int travel time to work in minutes
Commuting time: 30_39 mins int travel time to work in minutes
Commuting time: 40_44 mins int travel time to work in minutes
Commuting time: 45_59 mins int travel time to work in minutes
Commuting time: 60_89 mins int travel time to work in minutes
Commuting time: 90+ mins int travel time to work in minutes
Educational attainment for population 25 and over: less than high school int educational attainment for population 25 and over
Educational attainment for population 25 and over: high school int educational attainment for population 25 and over
Educational attainment for population 25 and over: associate degree int educational attainment for population 25 and over
Educational attainment for population 25 and over: bachelor degree int educational attainment for population 25 and over
Educational attainment for population 25 and over: master degree int educational attainment for population 25 and over
Educational attainment for population 25 and over: professional school degree int educational attainment for population 25 and over
Educational attainment for population 25 and over: phd int educational attainment for population 25 and over
School enrollment age 3 to 17: public school int school enrollment age 3 to 17
School enrollment age 3 to 17: private school int school enrollment age 3 to 18
School enrollment age 3 to 17: none int school enrollment age 3 to 19

 


Use Cases

 

Size Up Your Market without Leaving Your Seat

Use our US zip codes geographic data to size up a location’s market potential. Our data is paired with vital market sizing statistics such as population density and population size over-the-years. With this information, you can decide if the location is big enough for a new player, oversaturated, ascertain its growth trajectory or establish if it’s a sunset location with little opportunities. This information will steer you away from the pitfalls of entering markets with no potential. Similarly, you can now pin down locations that offer ample room for business expansion.

Optimize Your Marketing Dollars with Location-Based Segmentation

You can build powerful audience segments by combining location-based data with consumer usage insights on social media platforms.

For example, if you operate a gym, fitness center or sell fitness equipment, you can use our location-based data to identify your catchment area. Pair the selected location with a high conversion potential to build an audience of fitness enthusiasts. Then, combine the location information with another behavioral attribute by targeting individuals who visit a gym twice a month and have been to fitness stores in the past 3 months.

By leveraging on locational and behavioral attributes, your marketing efforts will reach the right people and save you weeks and multiple cycles of optimization.

Expand Your Business to New Locations with Location-Based Targeting

Our database contains location Intelligence to help you execute high-conversion geomarketing campaigns. Pairing our multivariate demographic data information such as market size by gender, age, and household income indicators, you can use our datasets to target new clients in a flourishing district based on zip code.

Location-based targeting or geolocation marketing helps you serve up promotional messages to individuals the moment they step within the targeted geographic location. You can present your call-to-action (CTA) when a user enters a predefined geographic location. And these marketing messages can be delivered via a push notification, media buying tools that deliver ads or other programmatic media buys.

To improve client acquisition with locational information, start by defining your catchment area. Then work with your SMS service provider and target individuals who are close to your retail outlet or venue.

Measure the Effect of Advertising with Location-Based Attribution

Use location-based data to measure the efficacy of your offline marketing initiatives in the digital realm. Location-based attribution allows you to measure how and where a consumer moves, and their various touchpoints before making a purchase. Location-based attribution is unrivaled information as this knowledge allows you to bridge any gaps between your Facebook, keyword buys or programmatic ad buys with your offline sales initiatives. This translates to a higher conversion rate from lead generation. Thus improving your return per marketing dollar invested.


Create Engaging and Personalized Communications with Location-Based Data

Customize your marketing messages by leveraging on location-based data of your clients. To exemplify, you can trigger an exclusive discount for purchase, or a gift-with-purchase offer to repeat customers from specific locations.

By customizing your communication, you can improve client engagement, build strong relationships and move your client from the “consideration” to the “purchase” stage.

Drive Foot Traffic and Sales Conversion Strategically

Our datasets can be used to drive seasonal sales, weekend sales, and mid-week extravaganzas to bolster low traffic periods and increase foot traffic to your store.

Besides, our database will navigate you through the process of identifying new catchment areas to draw customers. With this information, you can locate where to run your next marketing campaign, or which area to set up your new store.

Essentially, you can now transform insightful locational data into measurable business outcomes with our datasets.

Marketing the Right Product for the Season

Use our database to market seasonal products. For example, as an apparel retailer or manufacturer, you can use our database to promote winter gear for several months leading up to late fall. Target market to potential clients in the Midwest and northern regions of the United States only, notoriously known for its harsher weather.
To target locations that are sunny all year round, beach attire marketers use our datasets to target zip codes in California and Florida.


Acquire the Right Customers from the Start

Every dollar investment counts. And our database will help you deliver high returns on investment.
 
Pair our demographic datasets with locational data to cherry-pick your prime target market. For example, to recruit new customers for child care services, early learning, and child enrichment businesses, target locations with a higher population of children per household below 12 years and with a predetermined average household income.
 
Companies specializing in gardening equipment can market lawnmowers to rural communities where most residents have a big garden. But for city dwellers, these companies can serve up digital campaigns that promote weed trimmers or leaf blowers for manicuring lawns or sidewalks.
 
Our locational data is enriched with demographic data sets that you can use for digital marketing campaigns. Zoom down and target a location you have identified. Funnel the lead to your sales team and let them warm the call. Finally, pitch the product or service based on the individual’s needs and watch your conversion rates improve.
With high-quality leads, you can optimize your sales funnel, increase conversion rates and improve retargeting rates.


FAQ



How will I receive the data package?

Immediately after your purchase (or download a free sample), you will receive a confirmation email with the download link and your receipt. The email will also include all the necessary instruction on how to use the dataset.

Are my payment details secure?

Yes. Payments take place over a secure, encrypted connection and we do not store or record your card details.

Do you provide a discount for charities and non-profit organizations?

Yes. If you’re buying on behalf of a registered charity or non-profit organization, please contact us. We are more than happy to provide you with a 25% discount on all purchase

What is included in the dataset?

You will receive a CSV and SQL files that include 2 columns: First Name and Gender. Each Name will be classified as either Male | Female | Unisex

What do I do once I receive the data?

DatasetsDB has made the entire process of buying and accessing datasets very simple. Once you have chosen and purchased the data, you can start using that data right away:

  1. You will receive an email with instructions on how to use the dataset, and a link where to download the data package. The data package comes in 2 formats: CSV file and SQL file (same data, two different formats).
  2. You will need to create a table in your CRM environment to "host" the dataset
  3. You will need to upload a dataset file to the table you just created.
  4. Now you are good to go! You can now use the dataset to match (join) with your customer’s data using 'key joining column'.

Once I buy the dataset – do I own it?

Yes! You own the data file but please note that it cannot be transferred or resold. The file you purchase from datasetsDB.com can be used for your business only.

Can I “return” the datasets and receive a refund?

Yes, you can! When we say that customer’s satisfaction guaranteed – we really mean it! If you decided to “return” your package – you’ll get all your money back, no questions asked

 



How will I receive the data package?

Immediately after your purchase, you will receive a confirmation email with the download link and your receipt. The email will also include all the necessary instruction on how to use the dataset.

Are my payment details secure?

Yes. Payments take place over a secure, encrypted connection and we do not store or record your card details.

Do you provide a discount for charities and non-profit organizations?

Yes. If you’re buying on behalf of a registered charity or non-profit organization, please contact us. We are more than happy to provide you with a 25% discount on all purchase

What is included in the dataset?

You will receive a CSV and SQL files that include 2 columns: First Name and Gender. Each Name will be classified as either Male | Female | Unisex

What do I do once I receive the data?

DatasetsDB has made the entire process of buying and accessing datasets very simple. Once you have chosen and purchased the data, you can start using that data right away:

  1. You will receive an email with instructions on how to use the dataset, and a link where to download the data package. The data package comes in 2 formats: CSV file and SQL file (same data, two different formats).
  2. You will need to create a table in your CRM environment to "host" the dataset
  3. You will need to upload a dataset file to the table you just created.
  4. Now you are good to go! You can now use the dataset to match (join) with your customer’s data using 'key joining column'.

Once I buy the dataset – do I own it?

Yes! You own the data file but please note that it cannot be transferred or resold. The file you purchase from datasetsDB.com can be used for your business only.

Can I “return” the datasets and receive a refund?

Yes, you can! When we say that customer’s satisfaction guaranteed – we really mean it! If you decided to “return” your package – you’ll get all your money back, no questions asked