Home Data Personal Care Nursing Homes + US Nursing Homes

US Nursing Homes Data: Address, Postcode, Lat, Lon, Image, Community Detail

Name	n3_chennan_nursing_home_aplaceformom_com
Data	5.55M (+ 0B)
Tables	7 (+ 0)
Columns	32 (+ 0)
Table Rows	18,504 (+ 0)
Media	10.18M (+ 0B)
Files	938 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

This is a nursing homes database with 1,462 records in America. All these nursing homes are sorted into 63 categories, such as New York Assisted Living, Chicago Assisted Living, Phoenix Memory Care, Los Angeles Nursing Homes, etc. Each nursing home consists of title, street address, address locality, address region, postal code, latitude and longitude. There are 26 community detail records most closely related with these nursing homes. The America nursing homes API also comes with 1,018 nursing homes images in the 10.18M media sets. The whole United States nursing homes data set consists of 7 tables.

Data Samples

Main List (for Desktop / for Mobile) / JSON / XML / Excel / CSV (Download CSV) / View by Table

Data APIs

http://n3.datasn.io/data/api/v1/n3_chennan/nursing_homes/ (By Table)

Media Files

nursing_home_image ^{Bytes: 10.18M / Files: 938}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
category_1	63	title	100%
category_1_x_nursing_home	2,906	category_1_id	100%
category_1_x_nursing_home	2,906	nursing_home_id	100%
community_detail	26	title	100%
image	1,018	image_url	100%
image	1,018	nursing_home_id	100%
nursing_home	1,462	title	88.24%
		street_address	99.93%
		addresslocality	99.93%
		addressregion	99.93%
		postalcode	99.93%
		description	96.99%
		latitude	99.93%
		longitude	99.93%
nursing_home_x_community_detail	13,029	nursing_home_id	100%
nursing_home_x_community_detail	13,029	community_detail_id	100%

Notes:

Meta columns id and ts are not shown here, but included in columns total.
Some statistical or memo columns are not shown here, but included in columns total.
Non-empty percentage indicates the percent of values that are non-empty for that particular column.

Media Sets

nursing_home_image

Size (Bytes)	Files
10.18M	938

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2023-01-01 (+ 95 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2022-09-27 (+ 271 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2021-12-30 (+ 115 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2021-09-05 (+ 150 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2021-04-08 (+ 68 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2021-01-29 (+ 120 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2020-10-01 (+ 38 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2020-08-23 (+ 141 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2020-04-04 (+ 196 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2019-09-21 (+ 197 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2019-03-07 (+ 43 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2019-01-23 (+ 44 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-12-09 (+ 29 d)	5.55M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-11-09 (+ 27 d)	5.55M (- 0.73M)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-10-13 (+ 29 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-09-13 (+ 34 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-08-09 (+ 27 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-07-12 (+ 31 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-06-10 (+ 31 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-05-10 (+ 28 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-04-11 (+ 38 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-03-03 (+ 35 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2018-01-27 (+ 29 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2017-12-29 (+ 20 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2017-12-08 (+ 9 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2017-11-28 (+ 19 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2017-11-09 (+ 10 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2017-10-29 (+ 19 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2017-10-10 (+ 31 d)	6.28M (+ 0B)	7 (+ 0)	32 (+ 0)	18,504 (+ 0)	10.18M (+ 0B)	938 (+ 0)
2017-09-08	6.28M	7	32	18,504	10.18M	938

Download Latest Commit

In the same time, you can also access this data set via API.

Access Now!

How to use

View the page for data details.
Sign up for an account and log in.
Open Online Query to build API addresses / calls.
Open the API address / call to access the data.

FAQ

How to access the data?

Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Create and open an API call to acquire the data.
Why are data size increments not in line with those of number of rows?

The scanning and profiling of data size increments are done separately from those of the number of rows.