Schema

Output: JSON / XML / Human-friendly

Property components:

Name: Description:
metadata
Property metadata
site
Information about the property's site
structure
Information about the property's structure
owner_history
Property owner records
tax_history
Property tax records
sales_history
Property sale records
mortgage_history
Property mortgage records
valuation
Property valuation
status
Current property market status
postal
USPS Postal details
permits
Permit history
images
Image links
documents
Document links
comparable_properties
Up to 10 Comparable properties + details
property_boundaries
Property boundaries
non_conforming_data
Additional data not included in other fields

metadata:

Name: Type: Example: Description:
property_id
int
32452
Unique ID of property in our database
updated_at
datetime
2017-02-18 12:34:16
Last update timestamp. Please note that data is frequently refreshed, but this timestamp represents when the last change made. This change could be to any element of the record, but does not necessarily mean that all fields were refreshed.
address_match 
string
'exact'
Shows if the property is an exact or partial match
errors
[string]
['multiple possible addresses returned'] Errors will be returned if there is any issue with parsing the address or with finding information about it.

site:

Name: Type: Example: Description:
street_number
string
'100'
Standardized and parsed street number
street_name
string
'26th'
Standardized and parsed street name
street_direction
string
'N'
Standardized and parsed street direction
street_suffix
string
'St'
Standardized and parsed street suffix
unit_type
string
'Apt'
Unit type for subject property
unit_number
string
'B'
Unit number of subject property
address
string
'100 26th N St.'
Combined street address
neighborhood
string
'Discovery District'
Name of Neighborhood
sublocality
string
'North-East Columbus'
Name of sublocality
city
string
'Columbus'
Standard and parsed city
census_tract
string
'0607022041'
Census tract
county_name
string
'Onondaga'
County name
state
string
'GA'
State abbreviation
zipcode
int
13215
Zipcode
zipcode_plus_four
int
8433
Zipcode plus 4
land_use_code
string
1320
The original county or city land use code
zoning
string
'RU6'
Zoning
zoning_category 
string
'Residential'
Zoning category
zoning_description 
string
'Single Family Residence'
Land use description
latitude
string
'32.487930000'
Latitude
longitude
string
'-84.991127000'
Longitude
depth
int
100
Depth of lot in feet
width
int
64
Width of lot in feet
size
int
6354
Square footage of lot
acres
decimal
0.1500
Lot size in acres
range
string
'01W'
township
string
'10'
section
string
'34'
block
string
'019'
lot
string
'008'
parcel_id
string
'007-019-008'
Parcel Id
tax_account_id
string
'56772008'
Tax account number used by assessment authority
legal_description
string
'LOTS 8, 9 AND 10, BLOCK 801...'
title
string
'Freehold'
Estate title: Freehold, Leasehold, Strata, etc.
view
string
'Mountain'
Description of the view
location_description
string
'City'
Description of the location
building_count
int
2
Number of buildings on the property

structure:

Name: Type: Example: Description:
year_built
int
1923
effective_year_built
int
1996
The year a structure was substantially updated
rooms_count
int
4
beds_count
int
2
baths_count
int
2
half_baths_count
int
1
full_baths_count
int
1
quarter_baths_count
int
1
three_quarter_baths_count
int
1
stories_count
int
1
units_count
int
0
total_size
int
1692
Total square footage of building
finished_size
int
1492
Total square footage of living area
unfinished_size
int
200
Total square footage of unfinished spaces
basement_size
int
800
Square footage of basement
garage_size
int
1000
Square footage of garage
architecture_type
string
'Spanish'
exterior_wall_type
string
'Stucco'
air_conditioning_type
string
'Central'
basement_type
string
'Finished'
building_type
string
'Single Family'
improvement_type
string
'Single Family'
condition
string
'Excellent'
Current condition of the buildings
quality
string
'Excellent'
Quality of construction of the buildings
construction_type
string
'Brick/Stucco'
fireplace_count
int
1
fireplace_type
string
'Brick Chimney'
foundation_type
string
'Block'
flooring_type
string
'Wood'
garage_type
string
'Garage/Carport'
heating_type
string
'Gas'
mobile_home
boolean
false
parking_spaces
int
2
parking_type
string
'Driveway'
pool_type
string
'Pool & waterfall'
roof_type
string
'Clay tile'
roof_style_type
string
'Gable/Hip'
electricity_type
string
'Overhead wires'
fuel_type
string
'Gas'
sewer_type
string
'Public'
water_type
string
'Public'

owner_history:

Name: Type: Example: Description:
name
string
'Cheng Bernard'
Full name of owner
first_name
string
'Bernard'
Owner first name
last_name
string
'Cheng'
Owner last name
second_name
string
'Cheng Susan'
Name of second owner
second_first_name
string
'Susan'
Second owner first name
second_last_name
string
'Cheng'
Second owner last name
phone
string
'212-123-1234'
Phone number of owner
email
string
'bernard_cheng@hotmail.com'
Owner email address
phone
integer
'2121231234'
Phone number of owner with no formatting
address
string
'220 S Rodeo Dr'
city
string
'Beverly Hills'
state
string
'CA'
zip
int
90212
corporate_flag
boolean
false
Corporate ownership indicator
end_at
date
2016-07-25
Date ownership relinquished

tax_history:

Name: Type: Example: Description:
tax_year
int
2016
Tax year
tax_amount
int
705
Tax amount
land
int
1743
Assessed land value
improvement
int
5079
Assessed improvements value
total
int
6933
Total Assessment
appraised_land
int
2200
County market land appraisal
appraised_improvement
int
6250
County market improvement appraisal
appraised_total
int
8450
County market total appraisal
exemption
boolean
false
If exempt from property taxes
outstanding_tax
decimal
233.16
Unpaid tax
details 
array
["tax_account_id":"56780909"]
Extra details

sales_history:

Name: Type: Example: Description:
date
date
2009-08-21
Date of sale
recording_date
date
2009-09-25
Recording date of sale
price
int
170000
hpi_adjusted_price_2010
int
176000
Sale price, adjusted to 2010 dollars
type
string
'Deed of Trust'
seller
string
'Mahboubi-Fardi Behrouz & Minoo'
Seller name
buyer
string
'Cheng Bernard'
Buyer name
details 
array
["listing brokerage":"Columbia Homes"]
Extra details

mortgage_history:

Name: Type: Example: Description:
amount
int
74900
Initial principal
loan_type
string
'Conventional'
Type of loan security
deed_type
string
'Deed of Trust'
Mortgage deed type
term
int
25
Length of mortgage in years
date
date
2009-08-24
Date document recorded
due_date
date
2034-08-21
Mortgage expiry
lender_name
string
'M&I BK FSB'
Mortgage lender
details
array
["term":"7 years","rate_type":"VRM"]
Any other mortgage particulars available.

valuation:

Name: Type: Example: Description:
value
int
189000
type
string
"calculated"
Describes the source of the calculation. Possible values are "calculated", "estimated", "appraised"
confidence
decimal
0.90
Confidence level for the low-high confidence interval
high
int
178000
The highest price this property should yield in a sale
low
int
201000
The lowest price this property should yield in a sale
suggested_rental
int
1200
The calculated suggested monthly rental
market_value_change_year
decimal
12.5
Percentage change in property value since the last calendar year
market_value_change_quarter
decimal
3.6
Percentage change in property value since the previous quarter

status:

Information about the current residency, market and legal status of the property:

Name: Type: Example: Description:
rental_property
boolean
true
Rental property
vacant
boolean
false
True if the property has been vacant for 90 days or more
market_status
string
'For sale'
Current market status (for sale, recently sold, etc)
foreclosure
string
"Bank pre-foreclosure"
If currently in foreclosure proceedings, the type of foreclosure.
rental_price
decimal
1425.00
If rental price requested if listed for rent, or the last price when up for rent.
listing_price
decimal
246000.00
Current for sale price.
details
array
["Foreclosure bank":"Klondike Savings and Loan"]
Any extra information not included in the fields above

postal:

USPS information for this property:

Name: Type: Example: Description:
carrier_code
string
'R001'
delivery_point_code
integer
17
delivery_point_check_digit
integer
6
validated
string
"Y"
This address corresponds to a USPS record.
deliverable
string
"Y"
This address gets mail.

permits:

Array of up to 10 permit records:

Name: Type: Example: Description:
permit_type
string
'Building, Electrical, Mechanical, Plumbing'
permit_id
string
'PMT2016-01135'
permit_details
string

'Kitchen and two bath remodel for a single family detached dwelling. Scope includes replacement of interior wall with dropped beam and two new window locations in the bathrooms.'

status
string
"Open"
issued_date
date
2016-05-20
completed_date
date
0000-00-00
fee
decimal
1250.00
improvement_value
decimal
50000.00
owner_first_name
string
'WALKER'
owner_last_name
string
'WHITE'
owner_company
string
'ABC Homes'
contractor_first_name
string
'Charles'
contractor_last_name
string
'Stuart'
contractor_company
string
'SOBO DESIGN & BUILD'
contractor_license
string
'D45791'

images:

Array of up to 10 downloadable images:

Name: Type: Example: Description:
category
string
'photographs'
Category of image (photograph, architectural drawings, etc.)
description
string
'front'
url
string
'111382279.jpg'
Image link
source
string
'County'

documents:

Array of up to 10 downloadable documents:

Name: Type: Example: Description:
category
string
'Deed'
Document type
document_id
string
111382279
Source document id
title
string
'page 1'
description
string
'Title transfer'
grantor
string
'Mahboubi-Fardi Behrouz & Minoo'
grantee
string
'Cheng Bernard'
filer
string
'Chicago Land Transfer'
recorded_date
date
2016-09-07
url
string
2013041220130543705_0.jpg
Document image link
source
string
'County'

comparable_properties:

Up to 10 comparable properties are returned, each one following this schema, comprising these elements:

Components:
meta
site
structure
tax_history
valuation
comp_score

property_boundaries:

Name: Type: Example: Description:
geoJSON
JSON object

[{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-77.1776712339,39.8118263489],[-77.1776819674,39.8118146587],[-77.1781679287,39.8119998984],[-77.1782140898,39.8120174939],[-77.1780663605,39.8122462932],[-77.1780202082,39.8122286838],[-77.1774882025,39.8120256939],[-77.1776712339,39.8118263489]]]},"properties":[]}]

geoJSON object
WKT
string

POLYGON((-73.8458249137 40.8635823687,-73.8458252305 40.8635723466,-73.845826977 40.8635169823,-73.8461962029 40.8635244916,-73.8461941385 40.8635898797,-73.8458249137 40.8635823687))

WKT (well-known text) format

non_conforming_data:

Array of pieces of information that do not correspond to elements in this schema. These are non-standardized and appear as received from the source.

Name: Type: Example: Description:
category
string
'Site'
Maps to one of the above categories
description
string
'Water district'
value
string
'Black Mountain'
Output: JSON / XML / Human-friendly

Geo components:

Name: Type: Example: Description:
errors
[string]
['fire jurisdiction not found','disaster events not available on census tract level, county level returned'] Errors will be returned if a requested dataset is not able to be returned or not available at the level requested
place
place
The location for which data is provided
geographical_entities
geographical_entities
schools
[school]
natural_disaster_risk
natural_disaster_risk
storm_events
[storm_event]
nearby_features
nearby_features

place:

Name: Type: Example: Description:
level_requested 
string
'county'
Shows the level of the geographical hierarchy found
latitude
decimal
39.470741
Latitude of the target location
longitude
decimal
-76.821693
Longitude of the target location
census_block
int
1002
Census block, if geographical level 'census_block' or smaller
census_tract
int
182103
Census tract, if geographical level 'census_tract' or smaller
zipcode
int
91313
ZIP code, if available
city
string
'Vancouver'
City name, if geographical level is within a city
county
string
'Seneca'
County name, if geographical level 'county' or smaller
county_fips
int
840
3 digit county FIPS code
state
string
'OH'
state_fips
int
33
2 digit state FIPS code

geographical_entities:

Name: Type: Example: Description:
cbsa
int

14500

Core Based Statistical Area.
school_district_elementary
school_district
school_district_secondary
school_district
congressional_district
string
'19th District'
state_legislative_district_upper
string
'District 26'
Senate district
state_legislative_district_lower
string
'District 85'
House of Representatives district
police_jurisdiction
police_jurisdiction
fire_jurisdiction
fire_juristiction

school_district:

Name: Type: Example: Description:
id
int

3094

Unique ID of the district in our database
geoid
string

'609030'

name
string

'Clovis Unified School District'

Name of the school district
low_grade
string
'PK'
Lowest grade level taught
high_grade
string
'12'
Highest grade level taught
type
string
'Unified'
One of 'Unified', 'Elementary', or 'Secondary'
latitude
decimal

47.6195397

longitude
decimal

-122.349665

distance
decimal
Approximate distance from the target property, in kms

police_jurisdiction:

Name: Type: Example: Description:
name
string

'Seattle Police Department'

Name of the police department
type
string

'City'

Scope of the police department, 'City' or 'County'
city
string

'Seattle'

City of a city-level police department
county_fips
int
33
County FIPS code
state_fips
int
53
State FIPS code
zipcode
int

98106

fire_jurisdiction:

Name: Type: Example: Description:
fdid
string

'50009'

Fire department identifier
name
string

'Ovid Fire Department'

address
string

'2136 Brown St'

address_2
string
'PO Box D'
city
string
'Ovid'
zipcode
int

14521

county
string

'Seneca'

state
string

'New York'

phone
string

'607-869-5560'

mailing_address
string

'2136 Brown St, Ovid, NY, 14521'

department_type
string

'Volunteer'

One of 'Career', 'Mostly Career', 'Volunteer', 'Mostly Volunteer'.
organization_type
string

'Local'

website
string

URL to department website
stations_count
int

1

career_firefighters_count
int

0

volunteer_firefighters_count
int

55

paid_per_call_firefighters_count
int

0

non_firefighting_staff_count
int

55

interpolated_latitude
decimal

interpolated_longitude
decimal

school:

Up to 10 nearby schools are returned.

Name: Type: Example: Description:
name
string
'George Washington High'
School name
type
string
'Public'
Public/Private/Charter
level
string
'Secondary'
Primary, Middle, Secondary, K-12, Post-secondary
district
string
'Ohio School District 18'
address
string
'123 Orchard City Way, Columbus, OH'
latitude
decimal
39.470741
longitude
decimal
-76.821693

natural_disaster_risk:

Likelihood of natural disaster occurance based off historical events.

Name: Type: Example: Description:
flood.frequency
int
4
Number of events since 1980
flood.risk_rating
int
68
Percentile ranking between 1-100 (100 being high)
wildfire.frequency
int
1
Number of events since 1980
wildfire.risk_rating
int
28
Percentile ranking between 1-100 (100 being high)
earthquake.frequency
int
6
Number of events since 1980
earthquake.risk_rating
int
77
Percentile ranking between 1-100 (100 being high)
tornado.frequency
int
2
Number of events since 1980
tornado.risk_rating
int
18
Percentile ranking between 1-100 (100 being high)
hurricane_tropical_storm.frequency
int
12
Number of events since 1980
hurricane_tropical_storm.risk_rating
int
53
Percentile ranking between 1-100 (100 being high)
snow_ice_hail.frequency
int
1
Number of events since 1980
snow_ice_hail.risk_rating
int
4
Percentile ranking between 1-100 (100 being high)
extreme_heat.frequency
int
19
Number of events since 1980
extreme_heat.risk_rating
int
89
Percentile ranking between 1-100 (100 being high)
landslide.frequency
int
4
Number of events since 1980
landslide.risk_rating
int
46
Percentile ranking between 1-100 (100 being high)

storm_event:

Most recent 25 events. County level only at this time.

Name: Type: Example: Description:
event_id
int
618791
National Weather Service Event Id
event_type
string
Winter Storm
Category of event
begin_date_time
datetime
01-MAR-16 07:00:00
end_date_time
datetime
01-MAR-16 21:00:00
injuries_direct
int
6
injuries_indirect
int
4
deaths_direct
int
0
deaths_indirect
int
0
damage_property
int
42
Property damage in thousands of dollars
damage_crops
int
18
Crop damage in thousands of dollars
magnitude
int
98
The value that corresponds to magnitude type
magnitude_type
string
MS
The measurement system used
flood_cause
string

            
Cause of flood, if applicable
category
string
3
Hurricane category, if applicable
tor_f_scale
int

            
Tornado F scale, if applicable

            
int

            
episode_narrative
string

A winter storm strengthened as it tracked east northeastward just south of Lower Michigan on March 1. A swath of 8-12 inches of snow, with localized amounts over a foot, fell from southwest lower Michigan into the thumb region. The winter storm featured two main rounds of heavier snow, separated by a 2-3 hour period of light freezing rain and sleet mainly south of Interstate 96. The freezing rain was enough to coat vehicles in a thin layer of ice. No significant power outages were noted. The freezing rain and sleet occurred from late morning into early afternoon as the low pressure center tracked closest to Michigan. A thin layer of warm air well above the ground was able to melt snowflakes, but surface temperatures in the lower 20s resulted in freezing rain and sleet rather than just plain rain. The atmosphere sufficiently cooled by mid afternoon and changed the precipitation back to all snow. A significant burst of heavy snow during the afternoon hours brought traffic to a crawl. This resulted in hundreds of school closings on March 1st and 2nd.

The story of the parent weather episode
event_narrative
string

Thirteen to fourteen inches of snow was reported from Hastings to Delton in central Barry county. Travel conditions became very hazardous on March 1st into March 2nd due to the heavy snow.

The story of the weather event itself

nearby_features:

Nearest geographical features. These are the types and number or records returned for each:

  • Fire Department (2)
  • Police (1)
  • Hospital (1)
  • Post Office (1)
  • Structure (5)
  • Locale (5)
  • Park (5)
  • Library (1)
  • Museum (1)
  • Natural (10)

Full list of features:

            Airport
Arch
Area
Arroyo
Bar
Basin
Bay
Beach
Bench
Bend
Bridge
Building
Canal
Cape
Cemetery
Census
Channel
Church
Civil
Cliff
Crater
Crossing
Dam
Falls
Flat
Forest
Gap
Glacier
Gut
Harbor
Hospital
Island
Isthmus
Lake
Lava
Levee
Locale
Military
Mine
Oilfield
Park
Pillar
Plain
Populated Place
Post Office
Range
Rapids
Reserve
Reservoir
Ridge
School
Sea
Slope
Spring
Stream
Summit
Swamp
Tower
Trail
Tunnel
Unknown
Valley
Well
Woods
        
Name: Type: Example: Description:
feature_name
string
'Foley Post Office'
Feature name
type
string
'Post Office'
Feature type
latitude
decimal
30.4060443
longitude
decimal
-87.6825713
distance
decimal
6.37
Distance, in kms
Output: JSON / XML / Human-friendly

Census components:

Name: Type: Example: Description:
errors
[string]
['demographics data not available at level requested, county level returned'] Errors will be returned if a requested dataset is not able to be returned or not available at the level requested
place
place
The location for which data is provided
population
population
households
households
housing
housing

place:

Name: Type: Example: Description:
level_requested 
string
'county'
Shows the level of the geographical hierarchy found
latitude
decimal
39.470741
Latitude of the target location
longitude
decimal
-76.821693
Longitude of the target location
census_block
int
1002
Census block, if geographical level 'census_block' or smaller
census_tract
int
182103
Census tract, if geographical level 'census_tract' or smaller
zipcode
int
91313
ZIP code, if available
city
string
'Vancouver'
City name, if geographical level is within a city
county
string
'Seneca'
County name, if geographical level 'county' or smaller
county_fips
int
840
3 digit county FIPS code
state
string
'OH'
state_fips
int
33
2 digit state FIPS code

population:

Array of population statistics:

Name: Type: Description:
total
int
urban
int
rural
int
race.white
int
race.black
int
race.hispanic
int
race.american_indian
int
race.asian
int
race.hawaiian
int
race.other
int
race.multiple
int
age.0_to_5
int
age.0_to_5_male
int
age.0_to_5_female
int
age.5_to_9
int
age.5_to_9_male
int
age.5_to_9_female
int
age.10_to_14
int
age.10_to_14_male
int
age.10_to_14_female
int
age.15_to_19
int
age.15_to_19_male
int
age.15_to_19_female
int
age.20_to_24
int
age.20_to_24_male
int
age.20_to_24_female
int
age.25_to_29
int
age.25_to_29_male
int
age.25_to_29_female
int
age.30_to_34
int
age.30_to_34_male
int
age.30_to_34_female
int
age.35_to_39
int
age.35_to_39_male
int
age.35_to_39_female
int
age.40_to_44
int
age.40_to_44_male
int
age.40_to_44_female
int
age.45_to_49
int
age.45_to_49_male
int
age.45_to_49_female
int
age.50_to_54
int
age.50_to_54_male
int
age.50_to_54_female
int
age.55_to_59
int
age.55_to_59_male
int
age.55_to_59_female
int
age.60_to_64
int
age.60_to_64_male
int
age.60_to_64_female
int
age.65_to_69
int
age.65_to_69_male
int
age.65_to_69_female
int
age.70_to_74
int
age.70_to_74_male
int
age.70_to_74_female
int
age.75_to_79
int
age.75_to_79_male
int
age.75_to_79_female
int
age.80_to_84
int
age.80_to_84_male
int
age.80_to_84_female
int
age.85+
int
age.85+
int
age.85+
int
group_quarters.correctional_institutions
int
group_quarters.juvenile_homes
int
group_quarters.nursing_homes
int
group_quarters.hospitals
int
group_quarters.college_university
int
group_quarters.military
int
group_quarters.shelters
int
group_quarters.treatment_centres
int

households:

Array of household statistics:

Name: Type: Description:
under_18.total
int
under_18.average
int
over_18.total
int
over_18.average
int
husband_wife_householder
int
male_only_householder
int
female_only_householder
int
living_alone_householder
int
communal_householder
int

housing:

Array of housing statistics:

Name: Type: Description:
total
int
Total number of housing units
urban
int
Number of urban housing units
rural
int
Number of rural housing units
average_household_size.total
int
average_household_size.owner_occupied
int
average_household_size.renter_occupied
int
tenure.owned_with_mortgage
int
tenure.owned_free_and_clear
int
tenure.renter_occupied
int
occupancy.occupied
int
occupancy.vacant
int
vacancy_status.for_rent
int
vacancy_status.rented_unoccupied
int
vacancy_status.for_sale
int
vacancy_status.sold_unoccupied
int
Output: JSON / XML / Human-friendly

Health components:

Name: Type: Example: Description:
errors
[string]
['alcohol data not found'] Errors will be returned if a requested dataset is not able to be returned or not available at the level requested
place
place
The location for which data is provided
life_expectancy
life_expectancy
obesity
obesity
physical_activity
physical_activity
diabetes
diabetes
alcohol
alcohol

place:

Name: Type: Example: Description:
level_requested 
string
'county'
Shows the level of the geographical hierarchy found
latitude
decimal
39.470741
Latitude of the target location
longitude
decimal
-76.821693
Longitude of the target location
census_block
int
1002
Census block, if geographical level 'census_block' or smaller
census_tract
int
182103
Census tract, if geographical level 'census_tract' or smaller
zipcode
int
91313
ZIP code, if available
city
string
'Vancouver'
City name, if geographical level is within a city
county
string
'Seneca'
County name, if geographical level 'county' or smaller
county_fips
int
840
3 digit county FIPS code
state
string
'OH'
state_fips
int
33
2 digit state FIPS code

life_expectancy:

Rows returned for each 5 year interval from 1985-2010

Name: Type: Example: Description:
year
int
2010
Census year
male
int
73.3
female
int
78.8

obesity:

Rows returned for years 2001, 2009, 2011

Name: Type: Example: Description:
year
int
2011
Statistical year
male
int
37.1
Obesity prevalence in males
female
int
39.2
Obesity prevalence in females

physical_activity:

Rows returned for years 2001, 2009, 2011

Name: Type: Example: Description:
year
int
2011
Statistical year
male
int
52.9
Male sufficient physical activity prevalence
female
int
47.5
Female sufficient physical activity prevalence

diabetes:

Rows returned for every year from 1999 to 2012

Name: Type: Example: Description:
year
int
2011
Statistical year
male
int
16.67
Diabetes prevalence, males
female
int
13.92
Diabetes prevalence, males

alcohol:

Rows returned for every year from 2005 to 2012

Name: Type: Example: Description:
year
int
2011
Statistical year
binge_male
int
38.6
Prevalence of males who binge drink
binge_female
int
25.0
Prevalence of females who binge drink
heavy_male
int
19.3
Prevalence of males who regularly drink heavily
heavy_female
int
11.2
Prevalence of males who regularly drink heavily
Output: JSON / XML / Human-friendly

Crime components:

Name: Type: Example: Description:
errors
[string]
['aggregated_stats data not available at level requested, county level returned'] Errors will be returned if a requested dataset is not able to be returned or not available at the level requested
place
place
The location for which data is provided
aggregated_stats
aggregated_stats
events
events
sex_offenders
sex_offenders

place:

Name: Type: Example: Description:
level_requested 
string
'county'
Shows the level of the geographical hierarchy found
latitude
decimal
39.470741
Latitude of the target location
longitude
decimal
-76.821693
Longitude of the target location
census_block
int
1002
Census block, if geographical level 'census_block' or smaller
census_tract
int
182103
Census tract, if geographical level 'census_tract' or smaller
zipcode
int
91313
ZIP code, if available
city
string
'Vancouver'
City name, if geographical level is within a city
county
string
'Seneca'
County name, if geographical level 'county' or smaller
county_fips
int
840
3 digit county FIPS code
state
string
'OH'
state_fips
int
33
2 digit state FIPS code

aggregated_stats:

Rows returned for each crime type from the most recent year.

Name: Type: Example: Description:
year
int
2010
Census year
agency
string
Gardensdale Police Department
Reporting agency
type
string
murder
Crime stat category. Full list of values:
  • violent_crime
  • murder
  • forcible_rape
  • robbery
  • aggrevated_assault
  • property_crime_total
  • burglary
  • larceny_theft
  • motor_vehicle_theft
rate
int
16.1
Per capita
value
int
48
Absolute number

events:

Rows returned with the most recent 25 events from the area.

Name: Type: Example: Description:
date
datetime
2013-08-12T03:55:00.000
address
string
300 Block N Bluff Rd
Exact or approximate location
city
string
Athens
zipcode
int
30607
latitude
decimal
39.470741
longitude
decimal
-76.821693
incident_category
string
Theft
incident_type
string
Robbery
incident_category
string

08/12/2013 04:0416-8-41 Armed Robbery - Business (non-bank) - Guncase Status: Open Investigation

case_number
string
13-08-0815-1
Case number with reporting agency

sex_offenders:

Sex offenders in the given area. Maximum 100

Name: Type: Example: Description:
offender_id
int
55412481
name
string
James Matthew Hinkle
gender
string
Male
dob
date
1983-01-29
age
int
33
race
string
White
hair_color
string
Brown
eye_color
string
Green
height
string
5 ft 9 in
weight
int
157 lbs.
address
string
735 County Rd
city
string
Marbury
state
string
AL
zipcode
decimal
36051
latitude
decimal
39.470741
longitude
decimal
-76.821693
crimes
json_string

[{"Date Convicted":"27 June 2013","Offense\/Statute":"Sexual Abuse 2nd"}]

vehicles
json_string

[{"make":"Chevrolet","model":"Lumina","year":"1988","color":"green","plate":"11M217X","description":"trunk lid painted white"}]

Json object with list of vehicles associated with this owner
aliases
json_string

[{"Matthews, Jim"}]

Lastname, firstname array of aliases
status
string
compliant
Compliant or non-compliant