Market Insights

Market level insights condensed into small files ready for the platform of your choice

Market-level challenges now have market-level solutions.

Now for the first time, unlock powerful answers to market-level questions with insights on population counts, population growth, and visitation trends of residents for every US market. Millions of rows and columns of location data are aggregated intelligently and conveniently organized by census block group, ready to be analyzed in Excel, ArcGIS, and more.

  • Every US Market available for immediate purchase
  • Easy to link with other census block group based datasets
  • Unparalleled coverage and convenience
Compatible with all Major Platforms including: Excel, ArcGIS, Tableau, Alteryx, CartoDB, and more!

Billions of Mobile Datapoints Distilled into Convenient Files

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Pulse Daypart

Analyze Daytime population with average counts by time of day and day of week.

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Pulse Trend

See population change over time with an index over 6, 12, or 18 month windows.

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Retail Potential

Measure resident visitation to key points of interest categories in any census block group.

Available in Conveniently Formatted Files


census block groupThese FIPS codes indicate which U.S. Census Block Group devices were seen in. Block Groups are quite granular, typically capturing 600 to 3,000 residents and falling under the hierarchy State >> County >> Census Tract > Census Block group. See https://www.census.gov/programs-surveys/geography/guidance/geo-identifiers.html for more info. timeframeTime period over which the data is aggregated, in this case from 1/1/2019 through 6/30/2019. weekdaySpecific day of week devices were seen. hourSpecific hour within day of week devices were seen. devicesCount of mobile devices present in this Block Group at the given weekday + hour. devices per sq mileNo. of devices present at given weekday + hour divided by land area of the Census Block Group.
40210009012 2019Q2 Mon 7:00 AM 51 13.0
40138157002 2019Q2 Tue 11:00 PM 21 51.1
40179605002 2019Q2 Wed 8:00 AM 75 171.1
40138174001 2019Q2 Thu 1:00 PM 26 49.7
40131042062 2019Q2 Fri 1:00 AM 29 205.8
40134225132 2019Q2 Sat 1:00 PM 49 178.9
40130931043 2019Q2 Sun 5:00 PM 52 407.8
census block groupThese FIPS code IDs indicate which U.S. Census Block Group devices were seen in. Block Groups are quite granular, typically capturing 600 to 3,000 residents and falling under the hierarchy State >> County >> Census Tract > Census Block group. quarter runIndicates the fiscal quarter this data was run. For Pulse Trend, the 6/12/18 month lookback windows all count backwards from the end of this quarter, in this case 6/30/2019. months lookbackIndicates how many months back the trend was calculated over, in this case 1 full year from 7/1/2019 through 6/30/2019. avg density percentileThis shows how each block group stacks up against the rest of the U.S. by unique mobile device density per square mile across the entire 12 months. growth trendGrowth Trend shows how the mobile device population of each Block Group grew (or shrank) relative to the rest of the country in the given time period. -100 = fastest shrinking , 0= national average, and +100=fastest growing. 2018-07 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2018-08 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2018-09 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2018-10 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2018-11 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2018-12 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2019-01 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2019-02 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2019-03 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2019-04 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2019-05 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2019-06 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name. 2019-07 density percentileThis number represents how each block group ranks nationwide by unique mobile devices per square mile in the single, specific month listed in the column name.
040210009012 2019Q2 12 34% 4.7 34.0% 34.3% 34.8% 36.3% 36.5% 35.4% 36.2% 37.2% 38.5% 36.4% 35.4% 34.2% 10.2%
040138157002 2019Q2 12 62% -10.1 63.8% 62.4% 61.0% 62.7% 62.5% 60.3% 60.3% 62.5% 63.0% 61.2% 60.7% 57.9% 37.2%
040179605002 2019Q2 12 1% 0.8 1.1% 1.1% 1.1% 1.4% 1.2% 1.2% 1.2% 1.2% 1.4% 1.3% 1.2% 1.2% 26.5%
040138174001 2019Q2 12 33% 9.3 34.1% 34.7% 34.0% 35.5% 35.8% 37.4% 40.0% 41.7% 42.0% 37.2% 35.3% 33.2% 8.3%
040131042062 2019Q2 12 82% -0.2 82.9% 83.9% 84.7% 85.4% 84.9% 84.1% 84.8% 84.8% 84.6% 84.5% 83.8% 82.8% 0.1%
040134225132 2019Q2 12 58% -21.8 62.1% 62.9% 59.7% 61.8% 64.4% 63.1% 62.7% 60.9% 62.0% 58.7% 54.7% 55.1% 47.2%
040130931043 2019Q2 12 88% 5.0 87.5% 87.9% 88.9% 89.4% 88.7% 88.6% 90.0% 89.5% 89.5% 89.2% 88.9% 88.7% 29.1%
census block groupThese FIPS code IDs indicate which U.S. Census Block Group devices were seen in. Block Groups are quite granular, typically capturing 600 to 3,000 residents and falling under the hierarchy State >> County >> Census Tract > Census Block group. cel countTotal mobile devices who are likely residents (most common evening location). All visitation metrics are based on these devices. cdl countTotal mobile devices who likely work in the Block Group (most common daytime location). median commuteMedian miles between common daytime and evening locations for likely residents. total poi visitsUnique Point of Interest locations visited by devices with CEL in this block group. Each location visit represents a lat/lon seen within a precise polygon boundary. sectorHigh level sector that was visited. subsectorSubsector within sector. brandSpecific Brand visited by devices with CEL in Block Group. brand rankHow this brand ranked by # of visits vs. all other brands visited by likely residents. brand visitsUnique visits in the last year by residents to locations of this brand. 1 visit = 1 unique device + date + location. brand locationsUnique locations of this brand visited by residents over the last year. brand devicesSubset of residents (cel_count) who visited this brand. median brand distance from celMedian distance between common evening location and the actual brand location (actual brand visitors only).
40019702001 3805 3003 19 2208 Travel/Tourism Hotels America Best Value 2 120 14 61 123.1
40019702001 3805 3003 19 2208 Retail Office USPS 3 110 5 35 1.2
40019702001 3805 3003 19 2208 Other Businesses Gas Stations Shell 4 92 18 36 21.5

	{
      "id": "25082",
      "type": "Feature",
      "properties": {
        "census_block_group": "040210009012",
        "months_lookback": 12,
        "avg_density_percentile": 0.34,
        "growth_trend": 4.7
      },
      "geometry": {
        "type": "MultiPolygon",
        "coordinates": [
          [
            [
              [
                -114.75432,
                33.520641999999995
              ],
              [
                -114.729348,
                33.544305
              ],
              ...
            ]
          ]
        ]
      }
    }
    


      {
        "id": "25082",
        "type": "Feature",
        "properties": {
          "density_index_2019-06": 0.000007553211532230001,
          "geoid": "060650459002",
          "intercept": 0.0205042971034,
          "months": 12,
          "rsquared": 0.0136064316742,
          "trend": -0.0000640339959426
        },
        "geometry": {
          "type": "MultiPolygon",
          "coordinates": [
            [
              [
                [
                  -114.75432,
                  33.520641999999995
                ],
                [
                  -114.729348,
                  33.544305
                ],
                ...
              ]
            ]
          ]
        }
      }
    


      {
        "type": "Feature",
        "properties": {
          "census_block_group": "060710251001",
          "cel_count": 5359,
		  "cdl_count": 4177,
		  "median_commute": 137.602,
		  "total_poi_visits": 5540,
		  "sector": "Retail",
		  "subsector": "Malls & Shopping Centers",
		  "brand": "Malls & Shopping Centers",
		  "brand_rank": 1,
		  "brand_visits": 1346,
		  "brand_locations": 440,
		  "brand_devices": 353,
		  "median_brand_distance_from_cel": 156.7
        },
      "geometry": {
        "type": "MultiPolygon",
        "coordinates": [
          [
            [
              [
                -115.508753,
                34.519894
              ],
              [
                -115.476168,
                34.517495
              ],
              ...
            ]
          ]
        ]
      }
    }
    


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