Regrid: Geospatial Data | Land Parcel Intelligence US
| # | geoid |
sourceagent |
parcelnumb |
parcelnumb_no_formatting |
alt_parcelnumb1 |
alt_parcelnumb2 |
alt_parcelnumb3 |
usecode |
usedesc |
zoning |
zoning_description |
struct |
multistruct |
structno |
yearbuilt |
numstories |
numunits |
structstyle |
parvaltype |
improvval |
landval |
parval |
agval |
homestead_exemption |
saleprice |
saledate |
taxamt |
taxyear |
owntype |
owner |
ownfrst |
ownlast |
owner2 |
owner3 |
owner4 |
subsurfown |
subowntype |
mailadd |
mail_address2 |
careof |
mail_addno |
mail_addpref |
mail_addstr |
mail_addsttyp |
mail_addstsuf |
mail_unit |
mail_city |
mail_state2 |
mail_zip |
mail_country |
mail_urbanization |
address |
address2 |
saddno |
saddpref |
saddstr |
saddsttyp |
saddstsuf |
sunit |
scity |
original_address |
city |
county |
state2 |
szip |
urbanization |
ll_address_count |
location_name |
address_source |
legaldesc |
plat |
book |
page |
block |
lot |
neighborhood |
subdivision |
lat |
lon |
qoz |
qoz_tract |
census_tract |
census_block |
census_blockgroup |
sourceref |
sourcedate |
ll_last_refresh |
sourceurl |
recrdareatx |
recrdareano |
gisacre |
sqft |
ll_gisacre |
ll_gissqft |
ll_bldg_footprint_sqft |
ll_bldg_count |
cdl_raw |
cdl_majority_category |
cdl_majority_percent |
cdl_date |
plss_township |
plss_section |
plss_range |
reviseddate |
path |
ll_stable_id |
ll_uuid |
ll_updated_at |
dpv_status |
dpv_codes |
dpv_notes |
dpv_type |
cass_errorno |
rdi |
usps_vacancy |
usps_vacancy_date |
padus_public_access |
lbcs_activity |
lbcs_activity_desc |
lbcs_function |
lbcs_function_desc |
lbcs_structure |
lbcs_structure_desc |
lbcs_site |
lbcs_site_desc |
lbcs_ownership |
lbcs_ownership_desc |
pin |
tax_id |
acre_pl |
acre_cr |
tax_type |
com_dist_c |
msn_url |
ecf |
purpose |
feat_desc |
section_no |
narrative |
packedparcelnumber |
frontage |
efffront |
vacant |
res_num_of_beds |
res_num_of_full_baths |
res_num_of_half_baths |
res_num_of_fireplaces |
ci_year_built |
ecftbl |
school_district |
exempt_code |
map_number |
userstr1 |
userstr2 |
percentchange |
land_frontage |
land_depth |
land_flat_value |
dollarsperff |
dollarspereffff |
neighborhood_code |
ll_stack_uuid |
ll_row_parcel |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| 5 | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx |
| 6 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxx | xxxxx | xxxxxxxx | xxxxx | Xxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 7 | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx |
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| 9 | xxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxx | Xxxxxx | Xxxxxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxx | xxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxx |
| 10 | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | xxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx |
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Volume
155M
Parcel Boundaries
Data Quality
100%
Us Population
Avail. Formats
.json, .csv, and .sql
File
Coverage
1
Country
History
12
months
Data Dictionary
[Sample] mi_macomb.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
geoid
|
Integer | 26099 | |
|
sourceagent
|
|||
|
parcelnumb
|
String | 09-14-28-277-006 | |
|
parcelnumb_no_formatting
|
Float | 91428277006.0 | |
|
alt_parcelnumb1
|
|||
|
alt_parcelnumb2
|
|||
|
alt_parcelnumb3
|
|||
|
usecode
|
|||
|
usedesc
|
|||
|
zoning
|
|||
|
zoning_description
|
|||
|
struct
|
|||
|
multistruct
|
|||
|
structno
|
|||
|
yearbuilt
|
|||
|
numstories
|
|||
|
numunits
|
|||
|
structstyle
|
|||
|
parvaltype
|
|||
|
improvval
|
|||
|
landval
|
|||
|
parval
|
|||
|
agval
|
|||
|
homestead_exemption
|
|||
|
saleprice
|
|||
|
saledate
|
|||
|
taxamt
|
|||
|
taxyear
|
|||
|
owntype
|
|||
|
owner
|
|||
|
ownfrst
|
|||
|
ownlast
|
|||
|
owner2
|
|||
|
owner3
|
|||
|
owner4
|
|||
|
subsurfown
|
|||
|
subowntype
|
|||
|
mailadd
|
|||
|
mail_address2
|
|||
|
careof
|
|||
|
mail_addno
|
|||
|
mail_addpref
|
|||
|
mail_addstr
|
|||
|
mail_addsttyp
|
|||
|
mail_addstsuf
|
|||
|
mail_unit
|
|||
|
mail_city
|
|||
|
mail_state2
|
|||
|
mail_zip
|
|||
|
mail_country
|
|||
|
mail_urbanization
|
|||
|
address
|
String | 24600 CUBBERNESS ST | |
|
address2
|
|||
|
saddno
|
Integer | 24600 | |
|
saddpref
|
|||
|
saddstr
|
String | CUBBERNESS | |
|
saddsttyp
|
String | ST | |
|
saddstsuf
|
|||
|
sunit
|
|||
|
scity
|
String | SAINT CLAIR SHORES | |
|
original_address
|
String | 24600 CUBBERNESS ST; SAINT CLAIR SHORES | |
|
city
|
String | st-clair-shores | |
|
county
|
String | macomb | |
|
state2
|
String | MI | |
|
szip
|
String | 48080-3112 | |
|
urbanization
|
|||
|
ll_address_count
|
Integer | 1 | |
|
location_name
|
|||
|
address_source
|
String | county;accuzip | |
|
legaldesc
|
|||
|
plat
|
|||
|
book
|
|||
|
page
|
|||
|
block
|
|||
|
lot
|
|||
|
neighborhood
|
|||
|
subdivision
|
|||
|
lat
|
Float | 42.475971 | |
|
lon
|
Float | -82.910183 | |
|
qoz
|
Boolean | f | |
|
qoz_tract
|
|||
|
census_tract
|
Integer | 26099251500 | |
|
census_block
|
Integer | 260992515001011 | |
|
census_blockgroup
|
Integer | 260992515001 | |
|
sourceref
|
|||
|
sourcedate
|
|||
|
ll_last_refresh
|
String | 2022/06/22 | |
|
sourceurl
|
String | https://bsaonline.com/SiteSearch/SiteSearchResults?UsingA... | |
|
recrdareatx
|
|||
|
recrdareano
|
|||
|
gisacre
|
|||
|
sqft
|
|||
|
ll_gisacre
|
Float | 0.12034 | |
|
ll_gissqft
|
Integer | 5242 | |
|
ll_bldg_footprint_sqft
|
Integer | 1934 | |
|
ll_bldg_count
|
Integer | 2 | |
|
cdl_raw
|
|||
|
cdl_majority_category
|
|||
|
cdl_majority_percent
|
|||
|
cdl_date
|
|||
|
plss_township
|
String | 001N | |
|
plss_section
|
String | Section 28 | |
|
plss_range
|
String | 013E | |
|
reviseddate
|
|||
|
path
|
String | /us/mi/macomb/st-clair-shores/92300 | |
|
ll_stable_id
|
String | preserved | |
|
ll_uuid
|
String | 38a9798b-24e2-41e8-b05f-aaaf68a7bf5b | |
|
ll_updated_at
|
String | 2023/03/22 21:24:12.236+00 | |
|
dpv_status
|
String | V | |
|
dpv_codes
|
String | YN NN | |
|
dpv_notes
|
String | AABB | |
|
dpv_type
|
String | S | |
|
cass_errorno
|
String | A1 | |
|
rdi
|
Boolean | t | |
|
usps_vacancy
|
Boolean | f | |
|
usps_vacancy_date
|
String | 2023/03/01 | |
|
padus_public_access
|
|||
|
lbcs_activity
|
Integer | 1100 | |
|
lbcs_activity_desc
|
String | Household | |
|
lbcs_function
|
Integer | 1100 | |
|
lbcs_function_desc
|
String | Private household | |
|
lbcs_structure
|
Integer | 1000 | |
|
lbcs_structure_desc
|
String | Residential buildings | |
|
lbcs_site
|
Integer | 6000 | |
|
lbcs_site_desc
|
String | Developed site with buildings | |
|
lbcs_ownership
|
|||
|
lbcs_ownership_desc
|
|||
|
pin
|
String | 14-28-277-006 | |
|
tax_id
|
String | 14-28-277-006 | |
|
acre_pl
|
Integer | 0 | |
|
acre_cr
|
Integer | 0 | |
|
tax_type
|
String | B | |
|
com_dist_c
|
|||
|
msn_url
|
|||
|
ecf
|
|||
|
purpose
|
|||
|
feat_desc
|
|||
|
section_no
|
|||
|
narrative
|
|||
|
packedparcelnumber
|
|||
|
frontage
|
|||
|
efffront
|
|||
|
vacant
|
|||
|
res_num_of_beds
|
|||
|
res_num_of_full_baths
|
|||
|
res_num_of_half_baths
|
|||
|
res_num_of_fireplaces
|
|||
|
ci_year_built
|
|||
|
ecftbl
|
|||
|
school_district
|
|||
|
exempt_code
|
|||
|
map_number
|
|||
|
userstr1
|
|||
|
userstr2
|
|||
|
percentchange
|
|||
|
land_frontage
|
|||
|
land_depth
|
|||
|
land_flat_value
|
|||
|
dollarsperff
|
|||
|
dollarspereffff
|
|||
|
neighborhood_code
|
|||
|
ll_stack_uuid
|
|||
|
ll_row_parcel
|
Product Attributes
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| Text | Function, Activity, Ownership, Structures, and Site | Area ID | |
| Text | lbcs_function | Company Address | |
| Text | Contact Full Name | ||
| Decimal | Quickly measure distance and area, or find the lat/long o... | Latitude-Longitude |
Description
Get the data you need to explore property boundaries with all types of land use, ownership, and property information. Our of 155+ million parcel boundaries and records cover >99.9% of the US population in a seamless, standardized quilt of property information for maps, apps, and spatial analysis.
Regrid continues to revolutionze parcel data accessibility, usability, transparency, and completeness. We understand that everything in America happens on a parcel, from homes and parks to commercial buildings, farms, and wild places. That's why having great data about parcel shapes, ownership, current use, and other characteristics is crucial to understanding and making decisions about land.
Our comprehensive dataset of 155+ million parcel boundaries and records covers >99.9% of the US population, providing a seamless, standardized quilt of property information for your maps, apps, and spatial analysis. We've priced and productized our parcel data to meet your needs, whether you're a big company or a startup, and whether you need a little parcel data or a lot.
At Regrid, we take pride in offering bulk licensing real estate data packages that cater to a range of common needs and budgets. Each package provides easy access to nationwide parcel data with rolling refreshes throughout the year. You can even bundle our parcel data with Regrid's Parcel API and tiles for a complete solution.
By leveraging Regrid's parcel data solutions, you'll gain a deeper understanding of the underlying grid of parcel shapes, ownership, assessments, and uses. This will allow you to make informed decisions about land and what happens on it. Whether you're developing a new commercial building or investing in a farm, Regrid's parcel data has got you covered.
Upgrade your land decision-making game today with Regrid's unbeatable parcel data solutions. With our data, you'll have complete transparency and accessibility to crucial parcel information. You'll be able to unlock the power of parcel data and take your land understanding and decision-making beyond where it is today.
Geography
North America
(1)
United States of America
History
12 months of historical data
Volume
| 155 million | Parcel Boundaries |
Pricing
Free sample available
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License |
$50,000 / year |
| Usage-based | Not available |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
Us Population
Delivery
Methods
S3 Bucket
SFTP
REST API
SOAP API
Streaming API
Feed API
Frequency
monthly
Format
.json
.csv
.sql
Use Cases
Categories
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Frequently asked questions
What is Regrid: Geospatial Data Land Parcel Intelligence US?
Get the data you need to explore property boundaries with all types of land use, ownership, and property information. Our of 155+ million parcel boundaries and records cover >99.9% of the US population in a seamless, standardized quilt of property information for maps, apps, and spatial analysis.
What is Regrid: Geospatial Data Land Parcel Intelligence US used for?
This product has 5 key use cases. Regrid recommends using the data for Data Science, Real Estate Intelligence, Real Estate Insights, Location Visualization , and Data Enhancement. Global businesses and organizations buy Location Data from Regrid to fuel their analytics and enrichment.
Who can use Regrid: Geospatial Data Land Parcel Intelligence US?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with Regrid to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Regrid: Geospatial Data Land Parcel Intelligence US go?
This Data Platform has 12 months of historical coverage. It can be delivered on a monthly basis.
Which countries does Regrid: Geospatial Data Land Parcel Intelligence US cover?
This product includes data covering 1 country like USA. Regrid is headquartered in United States of America.
How much does Regrid: Geospatial Data Land Parcel Intelligence US cost?
Pricing for Regrid: Geospatial Data Land Parcel Intelligence US starts at USD50,000 per year. Connect with Regrid to get a quote and arrange custom pricing models based on your data requirements.
How can I get Regrid: Geospatial Data Land Parcel Intelligence US?
Businesses can buy Location Data from Regrid and get the data via S3 Bucket, SFTP, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, Regrid can deliver this product in .json, .csv, and .sql format.
What is the data quality of Regrid: Geospatial Data Land Parcel Intelligence US?
Regrid has reported that this product has the following quality and accuracy assurances: 99.9% Us Population. You can compare and assess the data quality of Regrid using Datarade’s data marketplace. Regrid has received 2 reviews from clients.
What are similar products to Regrid: Geospatial Data Land Parcel Intelligence US?
This Data Platform has 3 related products. These alternatives include Regrid: Real Estate Data US Land Parcel Ownership, Legal Boundaries Mapped, Echo Analytics POI & Building Footprint Data 6.9M+ Locations USA, and USA Point-of-Interest Data POI, Geospatial, Sentiment (Reviews), Footfall, Business Listings & Store Location 200 Million+ POIs Mapped. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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