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GIS Data | USA & Canada | Over 40k Demographics Variables To Inform...
GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business ...
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GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data product image in hero

GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data

GapMaps
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ID
NAME
POPCY
CRMCYTOTC
CRMCYPERC
CRMCYMURD
CRMCYRAPE
CRMCYROBB
CRMCYASST
CRMCYPROC
CRMCYBURG
CRMCYLARC
CRMCYMVEH
POPPY
CRMPYTOTC
CRMPYPERC
CRMPYMURD
CRMPYRAPE
CRMPYROBB
CRMPYASST
CRMPYPROC
CRMPYBURG
CRMPYLARC
CRMPYMVEH
xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx
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Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx
xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx
xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx
xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx
xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx
xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx
xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx
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Volume
40K
variables
Avail. Formats
.json and .csv
File
Coverage
2
Countries
History
54
years

Data Dictionary

[Sample] Nj Bg Premium Crimerisk
Attribute Type Example Mapping
ID
 Float 340010000000.0
NAME
 String BG 1 Atlantic County Tract 000100
POPCY
 Integer 1131
CRMCYTOTC
 Integer 85
CRMCYPERC
 Integer 139
CRMCYMURD
 Integer 105
CRMCYRAPE
 Integer 39
CRMCYROBB
 Integer 226
CRMCYASST
 Integer 127
CRMCYPROC
 Integer 76
CRMCYBURG
 Integer 97
CRMCYLARC
 Integer 73
CRMCYMVEH
 Integer 62
POPPY
 Integer 1037
CRMPYTOTC
 Integer 131
CRMPYPERC
 Integer 141
CRMPYMURD
 Integer 122
CRMPYRAPE
 Integer 102
CRMPYROBB
 Integer 93
CRMPYASST
 Integer 159
CRMPYPROC
 Integer 129
CRMPYBURG
 Integer 78
CRMPYLARC
 Integer 156
CRMPYMVEH
 Integer 35
[Sample] Nj Bg Premium Panorama
Attribute Type Example Mapping
ID
 Float 340010000000.0
NAME
 String BG 1 Atlantic County Tract 000100
PMACYHD01
 Integer 0
PMACYHD02
 Integer 0
PMACYHD03
 Integer 0
PMACYHD04
 Integer 0
PMACYHD05
 Integer 0
PMACYHD06
 Integer 0
PMACYHD07
 Integer 0
PMACYHD08
 Integer 0
PMACYHD09
 Integer 0
PMACYHD10
 Integer 0
PMACYHD11
 Integer 0
PMACYHD12
 Integer 0
PMACYHD13
 Integer 0
PMACYHD14
 Integer 0
PMACYHD15
 Integer 0
PMACYHD16
 Integer 0
PMACYHD17
 Integer 0
PMACYHD18
 Integer 0
PMACYHD19
 Integer 0
PMACYHD20
 Integer 0
PMACYHD21
 Integer 0
PMACYHD22
 Integer 0
PMACYHD23
 Integer 0
PMACYHD24
 Integer 5
PMACYHD25
 Integer 0
PMACYHD26
 Integer 0
PMACYHD27
 Integer 0
PMACYHD28
 Integer 62
PMACYHD29
 Integer 0
PMACYHD30
 Integer 0
PMACYHD31
 Integer 0
PMACYHD32
 Integer 0
PMACYHD33
 Integer 0
PMACYHD34
 Integer 0
PMACYHD35
 Integer 5
PMACYHD36
 Integer 0
PMACYHD37
 Integer 0
PMACYHD38
 Integer 0
PMACYHD39
 Integer 0
PMACYHD40
 Integer 0
PMACYHD41
 Integer 0
PMACYHD42
 Integer 0
PMACYHD43
 Integer 0
PMACYHD44
 Integer 0
PMACYHD45
 Integer 0
PMACYHD46
 Integer 0
PMACYHD47
 Integer 0
PMACYHD48
 Integer 0
PMACYHD49
 Integer 0
PMACYHD50
 Integer 0
PMACYHD51
 Integer 0
PMACYHD52
 Integer 0
PMACYHD53
 Integer 0
PMACYHD54
 Integer 0
PMACYHD55
 Integer 0
PMACYHD56
 Integer 0
PMACYHD57
 Integer 0
PMACYHD58
 Integer 0
PMACYHD59
 Integer 292
PMACYHD60
 Integer 0
PMACYHD61
 Integer 0
PMACYHD62
 Integer 0
PMACYHD63
 Integer 0
PMACYHD64
 Integer 0
PMACYHD65
 Integer 0
PMACYHD66
 Integer 0
PMACYHD67
 Integer 0
PMACYHD68
 Integer 0
PMACYPP01
 Integer 0
PMACYPP02
 Integer 0
PMACYPP03
 Integer 0
PMACYPP04
 Integer 0
PMACYPP05
 Integer 0
PMACYPP06
 Integer 0
PMACYPP07
 Integer 0
PMACYPP08
 Integer 0
PMACYPP09
 Integer 0
PMACYPP10
 Integer 0
PMACYPP11
 Integer 0
PMACYPP12
 Integer 0
PMACYPP13
 Integer 0
PMACYPP14
 Integer 0
PMACYPP15
 Integer 0
PMACYPP16
 Integer 0
PMACYPP17
 Integer 0
PMACYPP18
 Integer 0
PMACYPP19
 Integer 0
PMACYPP20
 Integer 0
PMACYPP21
 Integer 0
PMACYPP22
 Integer 0
PMACYPP23
 Integer 0
PMACYPP24
 Integer 22
PMACYPP25
 Integer 0
PMACYPP26
 Integer 0
PMACYPP27
 Integer 0
PMACYPP28
 Integer 180
PMACYPP29
 Integer 0
PMACYPP30
 Integer 0
PMACYPP31
 Integer 0
PMACYPP32
 Integer 0
PMACYPP33
 Integer 0
PMACYPP34
 Integer 0
PMACYPP35
 Integer 23
PMACYPP36
 Integer 0
PMACYPP37
 Integer 0
PMACYPP38
 Integer 0
PMACYPP39
 Integer 0
PMACYPP40
 Integer 0
PMACYPP41
 Integer 0
PMACYPP42
 Integer 0
PMACYPP43
 Integer 0
PMACYPP44
 Integer 0
PMACYPP45
 Integer 0
PMACYPP46
 Integer 0
PMACYPP47
 Integer 0
PMACYPP48
 Integer 0
PMACYPP49
 Integer 0
PMACYPP50
 Integer 0
PMACYPP51
 Integer 0
PMACYPP52
 Integer 0
PMACYPP53
 Integer 0
PMACYPP54
 Integer 0
PMACYPP55
 Integer 0
PMACYPP56
 Integer 0
PMACYPP57
 Integer 0
PMACYPP58
 Integer 0
PMACYPP59
 Integer 906
PMACYPP60
 Integer 0
PMACYPP61
 Integer 0
PMACYPP62
 Integer 0
PMACYPP63
 Integer 0
PMACYPP64
 Integer 0
PMACYPP65
 Integer 0
PMACYPP66
 Integer 0
PMACYPP67
 Integer 0
PMACYPP68
 Integer 0
PMACYAP01
 Integer 0
PMACYAP02
 Integer 0
PMACYAP03
 Integer 0
PMACYAP04
 Integer 0
PMACYAP05
 Integer 0
PMACYAP06
 Integer 0
PMACYAP07
 Integer 0
PMACYAP08
 Integer 0
PMACYAP09
 Integer 0
PMACYAP10
 Integer 0
PMACYAP11
 Integer 0
PMACYAP12
 Integer 0
PMACYAP13
 Integer 0
PMACYAP14
 Integer 0
PMACYAP15
 Integer 0
PMACYAP16
 Integer 0
PMACYAP17
 Integer 0
PMACYAP18
 Integer 0
PMACYAP19
 Integer 0
PMACYAP20
 Integer 0
PMACYAP21
 Integer 0
PMACYAP22
 Integer 0
PMACYAP23
 Integer 0
PMACYAP24
 Integer 22
PMACYAP25
 Integer 0
PMACYAP26
 Integer 0
PMACYAP27
 Integer 0
PMACYAP28
 Integer 134
PMACYAP29
 Integer 0
PMACYAP30
 Integer 0
PMACYAP31
 Integer 0
PMACYAP32
 Integer 0
PMACYAP33
 Integer 0
PMACYAP34
 Integer 0
PMACYAP35
 Integer 16
PMACYAP36
 Integer 0
PMACYAP37
 Integer 0
PMACYAP38
 Integer 0
PMACYAP39
 Integer 0
PMACYAP40
 Integer 0
PMACYAP41
 Integer 0
PMACYAP42
 Integer 0
PMACYAP43
 Integer 0
PMACYAP44
 Integer 0
PMACYAP45
 Integer 0
PMACYAP46
 Integer 0
PMACYAP47
 Integer 0
PMACYAP48
 Integer 0
PMACYAP49
 Integer 0
PMACYAP50
 Integer 0
PMACYAP51
 Integer 0
PMACYAP52
 Integer 0
PMACYAP53
 Integer 0
PMACYAP54
 Integer 0
PMACYAP55
 Integer 0
PMACYAP56
 Integer 0
PMACYAP57
 Integer 0
PMACYAP58
 Integer 0
PMACYAP59
 Integer 671
PMACYAP60
 Integer 0
PMACYAP61
 Integer 0
PMACYAP62
 Integer 0
PMACYAP63
 Integer 0
PMACYAP64
 Integer 0
PMACYAP65
 Integer 0
PMACYAP66
 Integer 0
PMACYAP67
 Integer 0
PMACYAP68
 Integer 0
[Sample] Nj Bg Base Projectedyear
Attribute Type Example Mapping
ID
 Float 340010000000.0
NAME
 String BG 1 Atlantic County Tract 000100
POPPY
 Integer 1037
AGEPY0004
 Integer 49
AGEPY0509
 Integer 80
AGEPY1014
 Integer 68
AGEPY1519
 Integer 72
AGEPY2024
 Integer 75
AGEPY2529
 Integer 86
AGEPY3034
 Integer 84
AGEPY3539
 Integer 80
AGEPY4044
 Integer 72
AGEPY4549
 Integer 65
AGEPY5054
 Integer 49
AGEPY5559
 Integer 55
AGEPY6064
 Integer 58
AGEPY6569
 Integer 51
AGEPY7074
 Integer 39
AGEPY7579
 Integer 23
AGEPY8084
 Integer 29
AGEPYGT85
 Integer 2
AGEPYM0004
 Integer 24
AGEPYM0509
 Integer 39
AGEPYM1014
 Integer 38
AGEPYM1519
 Integer 42
AGEPYM2024
 Integer 35
AGEPYM2529
 Integer 44
AGEPYM3034
 Integer 43
AGEPYM3539
 Integer 49
AGEPYM4044
 Integer 41
AGEPYM4549
 Integer 32
AGEPYM5054
 Integer 25
AGEPYM5559
 Integer 27
AGEPYM6064
 Integer 35
AGEPYM6569
 Integer 16
AGEPYM7074
 Integer 14
AGEPYM7579
 Integer 12
AGEPYM8084
 Integer 15
AGEPYMGT85
 Integer 0
AGEPYF0004
 Integer 25
AGEPYF0509
 Integer 41
AGEPYF1014
 Integer 30
AGEPYF1519
 Integer 30
AGEPYF2024
 Integer 40
AGEPYF2529
 Integer 42
AGEPYF3034
 Integer 41
AGEPYF3539
 Integer 31
AGEPYF4044
 Integer 31
AGEPYF4549
 Integer 33
AGEPYF5054
 Integer 24
AGEPYF5559
 Integer 28
AGEPYF6064
 Integer 23
AGEPYF6569
 Integer 35
AGEPYF7074
 Integer 25
AGEPYF7579
 Integer 11
AGEPYF8084
 Integer 14
AGEPYFGT85
 Integer 2
AGEPYMED
 Float 34.28
AGEPYMEDM
 Float 34.05
AGEPYMEDF
 Float 34.65
HISPYHISP
 Integer 482
HISPYNONH
 Integer 555
RACPYWHITE
 Integer 339
RACPYBLACK
 Integer 107
RACPYAMIND
 Integer 7
RACPYASIAN
 Integer 196
RACPYHAWAI
 Integer 2
RACPYOTHER
 Integer 267
RACPYMULT
 Integer 119
RCHPYWHNHS
 Integer 278
RCHPYBLNHS
 Integer 66
RCHPYAMNHS
 Integer 1
RCHPYASNHS
 Integer 196
RCHPYHANHS
 Integer 0
RCHPYOTNHS
 Integer 1
RCHPYMUNHS
 Integer 13
RCHPYWHHIS
 Integer 61
RCHPYBLHIS
 Integer 41
RCHPYAMHIS
 Integer 6
RCHPYASHIS
 Integer 0
RCHPYHAHIS
 Integer 2
RCHPYOTHIS
 Integer 266
RCHPYMUHIS
 Integer 106
POPPYFAM
 Integer 856
POPPYNFM
 Integer 181
POPPYGRP
 Integer 0
GRPPYCOLL
 Integer 0
GRPPYMIL
 Integer 0
GRPPYOTHN
 Integer 0
POPPYGT15
 Integer 840
MARPYNEVER
 Integer 387
MARPYMARR
 Integer 338
MARPYSEP
 Integer 29
MARPYWIDOW
 Integer 12
MARPYDIVOR
 Integer 74
POPPYGT25
 Integer 693
EDUPYLTGR9
 Integer 50
EDUPYSHSCH
 Integer 84
EDUPYHSCH
 Integer 214
EDUPYSCOLL
 Integer 61
EDUPYASSOC
 Integer 97
EDUPYBACH
 Integer 143
EDUPYGRAD
 Integer 44
LBFPYPOP16
 Integer 817
LBFPYMPOP1
 Integer 417
LBFPYFPOP1
 Integer 400
LBFPYARM
 Integer 0
LBFPYEMPL
 Integer 416
LBFPYUNEM
 Integer 100
LBFPYNLF
 Integer 301
LBFPYMARM
 Integer 0
LBFPYMEMPL
 Integer 241
LBFPYMUNEM
 Integer 60
LBFPYMNLF
 Integer 116
LBFPYFARM
 Integer 0
LBFPYFEMPL
 Integer 175
LBFPYFUNEM
 Integer 40
LBFPYFNLF
 Integer 185
HHDPY
 Integer 330
HHDPYFAM
 Integer 207
HHDPYNFM
 Integer 123
HHSPYMCFCH
 Integer 0
HHSPYLPMCH
 Integer 15
HHSPYLPFCH
 Integer 57
HHSPYMCFNC
 Integer 97
HHSPYLPMNC
 Integer 15
HHSPYLPFNC
 Integer 22
HHDPYS1
 Integer 104
HHDPYS2
 Integer 86
HHDPYS3
 Integer 46
HHDPYS4
 Integer 44
HHDPYS5
 Integer 35
HHDPYS6
 Integer 10
HHDPYS7
 Integer 5
HHDPYAVESZ
 Float 3.14
FAMPYAVESZ
 Float 4.14
NFMPYAVESZ
 Integer 1
HAGPY1524
 Integer 7
HAGPY2534
 Integer 54
HAGPY3544
 Integer 73
HAGPY4554
 Integer 59
HAGPY5564
 Integer 57
HAGPY6574
 Integer 51
HAGPY7584
 Integer 31
HAGPYGT85
 Integer 0
HHDPYMEDAG
 Float 49.42
VPHPY1
 Integer 153
VPHPY2
 Integer 50
VPHPY3
 Integer 12
VPHPY4
 Integer 6
VPHPY5
 Integer 2
VPHPYAVE
 Float 0.98
VPHPYO0
 Integer 27
VPHPYO1
 Integer 110
VPHPYO2
 Integer 39
VPHPYO3
 Integer 9
VPHPYO4
 Integer 5
VPHPYO5
 Integer 2
VAVPYOTOT
 Integer 245
VPHPYR0
 Integer 80
VPHPYR1
 Integer 43
VPHPYR2
 Integer 11
VPHPYR3
 Integer 3
VPHPYR4
 Integer 1
VPHPYR5
 Integer 0
VAVPYRTOT
 Integer 78
INCPYAGG
 Integer 13992210
INCPYAGGFA
 Integer 10422392
INCPYAGGNF
 Integer 3569818
INCPYAGGGP
 Integer 0
INCPYPCAP
 Integer 13493
INCPYAVEHH
 Integer 42401
INCPYAVEFA
 Integer 50350
INCPYAVENF
 Integer 27883
INCPYMEDHH
 Integer 35659
INCPYMEDFA
 Integer 38774
INCPYMEDNF
 Integer 22767
HIXPYLT05
 Integer 12
HIXPY0510
 Integer 19
HIXPY1015
 Integer 37
HIXPY1520
 Integer 19
HIXPY2025
 Integer 41
HIXPY2530
 Integer 12
HIXPY3035
 Integer 18
HIXPY3540
 Integer 53
HIXPY4045
 Integer 27
HIXPY4550
 Integer 5
HIXPY5055
 Integer 7
HIXPY5560
 Integer 5
HIXPY6065
 Integer 7
HIXPY6570
 Integer 9
HIXPY7075
 Integer 7
HIXPY7580
 Integer 7
HIXPY8085
 Integer 8
HIXPY8590
 Integer 7
HIXPY9095
 Integer 5
HIXPY95100
 Integer 3
HIXPY10025
 Integer 22
HIXPY12550
 Integer 0
HIXPY15020
 Integer 0
HIXPY20050
 Integer 0
HIXPY25050
 Integer 0
HIXPYGT500
 Integer 0
FIXPYLT05
 Integer 3
FIXPY0510
 Integer 10
FIXPY1015
 Integer 22
FIXPY1520
 Integer 6
FIXPY2025
 Integer 13
FIXPY2530
 Integer 9
FIXPY3035
 Integer 2
FIXPY3540
 Integer 51
FIXPY4045
 Integer 8
FIXPY4550
 Integer 2
FIXPY5055
 Integer 6
FIXPY5560
 Integer 4
FIXPY6065
 Integer 7
FIXPY6570
 Integer 9
FIXPY7075
 Integer 6
FIXPY7580
 Integer 6
FIXPY8085
 Integer 8
FIXPY8590
 Integer 6
FIXPY9095
 Integer 5
FIXPY95100
 Integer 3
FIXPY10025
 Integer 21
FIXPY12550
 Integer 0
FIXPY15020
 Integer 0
FIXPY20050
 Integer 0
FIXPY25050
 Integer 0
FIXPYGT500
 Integer 0
HINPYMED24
 Integer 22499
HINPYMED25
 Integer 38332
HINPYMED35
 Integer 38635
HINPYMED45
 Integer 37221
HINPYMED55
 Integer 31874
HINPYMED65
 Integer 24999
HINPYMED75
 Integer 26249
DWLPY
 Integer 407
DWLPYVACNT
 Integer 77
DWLPYOCCUP
 Integer 330
DWLPYRENT
 Integer 138
DWLPYOWNED
 Integer 192
XPYTOTAL
 Float 39307.11
XPYNONRTL
 Float 20818.5
XPYAP
 Float 1369.51
XPYCC
 Float 1161.61
XPYED
 Float 1029.48
XPYEN
 Float 2113.66
XPYFB
 Float 5960.31
XPYGI
 Float 849.43
XPYHC
 Float 3472.17
XPYHF
 Float 1313.07
XPYHH
 Float 8445.44
XPYHO
 Float 1509.37
XPYMI
 Float 735.03
XPYPC
 Float 528.77
XPYPI
 Float 245.08
XPYRD
 Float 84.34
XPYTB
 Float 296.06
XPYTR
 Float 7006.5
XPYUT
 Float 3187.28
[Sample] Nj Bg Base Age Income
Attribute Type Example Mapping
ID
 Float 340010000000.0
NAME
 String BG 1 Atlantic County Tract 000100
HHDCY
 Integer 364
HHDPY
 Integer 330
HAGCY1524
 Integer 11
HAGCY2534
 Integer 62
HAGCY3544
 Integer 81
HAGCY4554
 Integer 62
HAGCY5564
 Integer 68
HAGCY6574
 Integer 50
HAGCY7584
 Integer 23
HAGCYGT85
 Integer 3
HAGCYGT75
 Integer 26
HHDCYMEDAG
 Float 48.19
HAGPY1524
 Integer 7
HAGPY2534
 Integer 54
HAGPY3544
 Integer 73
HAGPY4554
 Integer 59
HAGPY5564
 Integer 57
HAGPY6574
 Integer 51
HAGPY7584
 Integer 31
HAGPYGT85
 Integer 0
HHDPYMEDAG
 Float 49.42
HINCYA2401
 Integer 1
HINCYA2402
 Integer 1
HINCYA2403
 Integer 0
HINCYA2404
 Integer 1
HINCYA2405
 Integer 0
HINCYA2406
 Integer 0
HINCYA2407
 Integer 3
HINCYA2408
 Integer 1
HINCYA2409
 Integer 0
HINCYA2410
 Integer 0
HINCYA2411
 Integer 1
HINCYA2412
 Integer 2
HINCYA2413
 Integer 1
HINCYA2414
 Integer 0
HINCYA2415
 Integer 0
HINCYA2416
 Integer 0
HINCYA2501
 Integer 7
HINCYA2502
 Integer 6
HINCYA2503
 Integer 2
HINCYA2504
 Integer 7
HINCYA2505
 Integer 2
HINCYA2506
 Integer 4
HINCYA2507
 Integer 11
HINCYA2508
 Integer 5
HINCYA2509
 Integer 1
HINCYA2510
 Integer 2
HINCYA2511
 Integer 5
HINCYA2512
 Integer 6
HINCYA2513
 Integer 4
HINCYA2514
 Integer 0
HINCYA2515
 Integer 0
HINCYA2516
 Integer 0
HINCYA3501
 Integer 7
HINCYA3502
 Integer 6
HINCYA3503
 Integer 5
HINCYA3504
 Integer 9
HINCYA3505
 Integer 2
HINCYA3506
 Integer 5
HINCYA3507
 Integer 15
HINCYA3508
 Integer 7
HINCYA3509
 Integer 0
HINCYA3510
 Integer 3
HINCYA3511
 Integer 7
HINCYA3512
 Integer 9
HINCYA3513
 Integer 8
HINCYA3514
 Integer 0
HINCYA3515
 Integer 0
HINCYA3516
 Integer 0
HINCYA4501
 Integer 5
HINCYA4502
 Integer 5
HINCYA4503
 Integer 4
HINCYA4504
 Integer 8
HINCYA4505
 Integer 1
HINCYA4506
 Integer 4
HINCYA4507
 Integer 10
HINCYA4508
 Integer 5
HINCYA4509
 Integer 1
HINCYA4510
 Integer 2
HINCYA4511
 Integer 4
HINCYA4512
 Integer 6
HINCYA4513
 Integer 7
HINCYA4514
 Integer 0
HINCYA4515
 Integer 0
HINCYA4516
 Integer 0
HINCYA5501
 Integer 8
HINCYA5502
 Integer 11
HINCYA5503
 Integer 4
HINCYA5504
 Integer 9
HINCYA5505
 Integer 2
HINCYA5506
 Integer 5
HINCYA5507
 Integer 10
HINCYA5508
 Integer 5
HINCYA5509
 Integer 0
HINCYA5510
 Integer 2
HINCYA5511
 Integer 4
HINCYA5512
 Integer 5
HINCYA5513
 Integer 4
HINCYA5514
 Integer 0
HINCYA5515
 Integer 0
HINCYA5516
 Integer 0
HINCYA6501
 Integer 3
HINCYA6502
 Integer 7
HINCYA6503
 Integer 3
HINCYA6504
 Integer 8
HINCYA6505
 Integer 2
HINCYA6506
 Integer 2
HINCYA6507
 Integer 9
HINCYA6508
 Integer 5
HINCYA6509
 Integer 1
HINCYA6510
 Integer 2
HINCYA6511
 Integer 2
HINCYA6512
 Integer 5
HINCYA6513
 Integer 2
HINCYA6514
 Integer 0
HINCYA6515
 Integer 0
HINCYA6516
 Integer 0
HINCYA7501
 Integer 2
HINCYA7502
 Integer 4
HINCYA7503
 Integer 2
HINCYA7504
 Integer 6
HINCYA7505
 Integer 1
HINCYA7506
 Integer 1
HINCYA7507
 Integer 5
HINCYA7508
 Integer 2
HINCYA7509
 Integer 0
HINCYA7510
 Integer 0
HINCYA7511
 Integer 1
HINCYA7512
 Integer 1
HINCYA7513
 Integer 1
HINCYA7514
 Integer 0
HINCYA7515
 Integer 0
HINCYA7516
 Integer 0
HINPYA2401
 Integer 1
HINPYA2402
 Integer 1
HINPYA2403
 Integer 1
HINPYA2404
 Integer 1
HINPYA2405
 Integer 0
HINPYA2406
 Integer 0
HINPYA2407
 Integer 1
HINPYA2408
 Integer 1
HINPYA2409
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Product Attributes
Attribute Type Example Mapping
Estimates and Projections
 String Population
Non Resident Population
 String
Business Counts
 String
Consumer Expenditures
 String
Retail Potential
 String
Retail Gap
 String
Crime
 String
Panorama
 String

Description

GapMaps GIS Data sourced from Applied Geographic Solutions includes over 40k Demographic variables across topics including estimates & projections on population, demographics, neighborhood segmentation, consumer spending, crime index & environmental risk available at census block level.
GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies. GIS Data attributes include: 1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings. 2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level. 3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system. 4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales. 5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations. 6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending. 7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line. 8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain Primary Use Cases for GapMaps GIS Data: 1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery) - Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential - Analyse your trade areas at a granular census block level using all the key metrics - Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations. - Target Marketing: Develop effective marketing strategies to acquire more customers. - Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations. 2. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC) - Network Planning - Customer (Risk) Profiling for insurance/loan approvals - Target Marketing - Competitive Analysis - Market Optimization 3. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O) - Tenant Recruitment - Target Marketing - Market Potential / Gap Analysis 4. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens) - Customer Profiling - Target Marketing - Market Share Analysis

Country Coverage

North America (2)
Canada
United States of America

History

54 years of historical data

Volume

40,000 variables
54 years of historical census data
5 year projections on population, households, income and more
68 Panorama segments

Pricing

Free sample available
GapMaps has not published pricing information for this product yet. You can request detailed pricing information below.
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Frequency
yearly
Format
.json
.csv

Use Cases

Categories

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Frequently asked questions

What is GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data?

GapMaps GIS Data sourced from Applied Geographic Solutions includes over 40k Demographic variables across topics including estimates & projections on population, demographics, neighborhood segmentation, consumer spending, crime index & environmental risk available at census block level.

What is GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data used for?

This product has 5 key use cases. GapMaps recommends using the data for Location Intelligence, Location-based Analytics, Retail Site Selection, Location Planning, and Location Insights. Global businesses and organizations buy Demographic Data from GapMaps to fuel their analytics and enrichment.

Who can use GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Demographic Data. Get in touch with GapMaps to see what their data can do for your business and find out which integrations they provide.

How far back does the data in GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data go?

This product has 54 years of historical coverage. It can be delivered on a yearly basis.

Which countries does GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data cover?

This product includes data covering 2 countries like USA and Canada. GapMaps is headquartered in Australia.

How much does GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data cost?

Pricing information for GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data is available by getting in contact with GapMaps. Connect with GapMaps to get a quote and arrange custom pricing models based on your data requirements.

How can I get GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data?

Businesses can buy Demographic Data from GapMaps and get the data via S3 Bucket. Depending on your data requirements and subscription budget, GapMaps can deliver this product in .json and .csv format.

What is the data quality of GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data?

You can compare and assess the data quality of GapMaps using Datarade’s data marketplace. GapMaps has received 1 review from clients.

What are similar products to GIS Data USA & Canada Over 40k Demographics Variables To Inform Business Decisions Consumer Spending Data Demographic Data?

This product has 3 related products. These alternatives include Demographic Data USA & Canada Latest Estimates & Projections To Inform Business Decisions GIS Data Map Data, Geospatial Data: Places Data Global Location Data on 56M+ Places, and Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

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