Sold by: Geolytica
Deployed on AWS
This is a complete Point of Interest (POI) Dataset for China as of December 2021 containing 8,420,087 records geocoded with rooftop accuracy. There are 1618 categories with the top 4: 购物 Shopping 1738408, 美食 Food 835364, 公司企业 Company 823873, 房地产 Real estate 640527. See https://store.poidata.xyz/cn
Overview
This is a complete Point of Interest (POI) Dataset for China as of December 2021 containing 8,420,087 records geocoded with rooftop accuracy. There are 1618 categories with the top 4: 购物 Shopping 1738408, 美食 Food 835364, 公司企业 Company 823873, 房地产 Real estate 640527. See https://store.poidata.xyz/cn
Regional Coverage
This POI dataset is for China (including Hong Kong and Macau).
Formats
This product is delivered in the following format: Comma Separated File (CSV)
Full Description
Point of Interest (POI) is defined as a physical entity (such as a business) in a geo location (point) which may be (of interest).
We strive to provide the most accurate, complete and up to date point of interest datasets for all countries of the world.
This is our process flow:
- Our machine learning systems continuously crawl for new POI data
- Our geoparsing and geocoding calculates their geo locations
- Our categorization systems cleanup and standardize the datasets
- Our data pipeline API publishes the datasets on our data store
POI Data is in a constant flux. Every minute worldwide over 200 businesses will move, over 600 new businesses will open their doors and over 400 businesses will cease to exist. And over 94% of all businesses have a public online presence of some kind tracking such changes.
We offer our customers perpetual data licenses for any dataset representing this ever changing information, downloaded at any given point in time. This makes our company's licensing model unique in the current Data as a Service - DaaS Industry. Our customers don't have to delete our data after the expiration of a certain "Term", regardless of whether the data was purchased as a one time snapshot, or via our data update pipeline.
The main differentiators between us vs the competition are our flexible licensing terms and our data freshness.
The Data Schema for this product is as follows:
Parameter | Description | Type | Example ----|----- poi_name | The name of the point of interest | String | 深圳宝安国际机场-汽车站 poi_tel | The telephone number of the point of interest | String | (0755)23453501 main_category | The main category name of the point of interest | String | 交通设施 second_category | The secondary category name of the point of interest | String | 长途汽车站 main_category_en | The main category name of the point of interest | String | Transportation facilities second_category_en | The secondary category name of the point of interest | String | long-distance bus station location_id | Integer id of the geo location of the POI with a resolution of 10 metres | Integer | 8088928067414 area_id | Integer id of the general area (city/neighborhoods) of the POI location | Integer | 680807 small_area_id | Integer id of the specific area (a small collection of city blocks) of the POI location. This is useful for grouping together Points of Interest that are for example in the same Airport or Mall. | Integer | 808892806 latitude | Latitude coordinate of the point of interest. | Float | 22.622316 longitude | Longitude coordinate of the point of interest. | Float | 113.814452 adr | Street Address. | String | 空港八道 8 city | City Name. | String | 深圳市 neighborhood | City Neighborhood or City District Name. | String | 宝安区 prov | Province, State or Region Name | String | 广东省 postal | Postal or Zip Code | String | 518100 country | The country name | String | China formatted_address | The formatted postal address | String | 广东省深圳市宝安区空港八道8号GTC1层 source_url | The web address of the point of interest | String | http://www.jichangbus.com/baoan/changtu/ email | The email address of the point of interest | String | ii@jichangbus.com opening_hours | The hours of operation | String | 07:00-24:00 crawl_time | The timestamp when this POI was crawled and verified as active | DateTime | 2021-05-18 0:30:13 weekday_busy_times | Weekday relative busy times based on cellular data of foot traffic of customers inside the facility. Days range from "d0" (Monday) to d6 (Sunday) and the hours from h0 (midnight) to h23 (23:00hr). The relative score ranges from 0 (0% busy) to 100 (100% busy) where 100 is the maximum busy score over all days/hours of the week. For example, d0: h12:83 means that on Monday at Noon (12:00hr) the location is 83% busy relative to other day/time combos. | String | d0: h0: 84, h1: 84, h2: 42, h3: 42, h4: 42, h5: 14, h6: 15, h7: 22, h8: 38, h9: 38, h10: 63, h11: 70, h12: 70, h13: 77, h14: 83, h15: 83, h16: 83, h17: 78, h18: 78, h19: 78, h20: 78, h21: 78, h22: 78, h23: 60, d1: h0: 60, h1: 40, h2: 35, h3: 35, h4: 35, h5: 35, h6: 35, h7: 24, h8: 24, h9: 64, h10: 64, h11: 68, h12: 68, h13: 68, h14: 80, h15: 75, h16: 76, h17: 76, h18: 76, h19: 74, h20: 74, h21: 74, h22: 61, h23: 54, d2: h0: 54, h1: 54, h2: 38, h3: 25, h4: 25, h5: 16, h6: 21, h7: 25, h8: 37, h9: 62, h10: 64, h11: 73, h12: 73, h13: 73, h14: 92, h15: 92, h16: 92, h17: 99, h18: 99, h19: 86, h20: 86, h21: 84, h22: 84, h23: 84, d3: h0: 84, h1: 84, h2: 84, h3: 84, h4: 11, h5: 14, h6: 14, h7: 14, h8: 14, h9: 14, h10: 14, h11: 14, h12: 14, h13: 14, h14: 14, h15: 14, h16: 14, h17: 14, h18: 14, h19: 14, h20: 14, h21: 14, h22: 14, h23: 14, d4: h0: 14, h1: 14, h2: 14, h3: 14, h4: 14, h5: 14, h6: 14, h7: 14, h8: 14, h9: 14, h10: 14, h11: 14, h12: 14, h13: 14, h14: 80, h15: 80, h16: 90, h17: 90, h18: 90, h19: 90, h20: 90, h21: 90, h22: 90, h23: 90, d5: h0: 90, h1: 90, h2: 90, h3: 90, h4: 90, h5: 12, h6: 15, h7: 15, h8: 15, h9: 15, h10: 60, h11: 71, h12: 62, h13: 62, h14: 86, h15: 83, h16: 75, h17: 75, h18: 75, h19: 75, h20: 75, h21: 75, h22: 75, h23: 58, d6: h0: 58, h1: 58, h2: 41, h3: 41, h4: 41, h5: 41, h6: 41, h7: 41, h8: 41, h9: 41, h10: 41, h11: 41, h12: 41, h13: 41, h14: 41, h15: 41, h16: 41, h17: 41, h18: 84, h19: 84, h20: 84, h21: 84, h22: 84, h23: 84
The Data Coverage for the core poi attributes is as follows:
| Attribute | Data Coverage (%) |
|---|---|
| poi_name | 100 |
| poi_tel | 37 |
| formatted_address | 100 |
| main_category | 95 |
| latitude | 100 |
| longitude | 100 |
| neighborhood | 78 |
| source_url | 82 |
| 14 | |
| opening_hours | 16 |
General License Terms
License Terms - https://store.poidata.xyz/license.txt Privacy Policy - https://poidata.xyz/privacy.txt
About POIDATA.xyz
POIDATA , a Geolytica inc subsidiary, is a data company bringing innovative solutions to the problem of maintaining up-to-date and accurate Point-of-Interest (POI) Data - Ground Truth at the Speed of Life.
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Dimension | Description | Cost/month |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $9,000.00 |
Dimensions summary
This listing uses one pricing dimension: Product Access (Units). You buy access to the Points of Interest geo data for China under a single contract. There are no separate tiers, instance sizes, or usage add-ons to compare. Pricing scales with the number of access units you purchase. The dataset covers points of interest across Chinese provinces and cities. You subscribe to gain access, and the contract grants that access for the term you select.
Top-of-mind questions for buyers
Each unit grants subscriber access to the Points of Interest geo data for China. Access is granted for the contract term you select. The dataset covers points across Chinese provinces and cities, with records identified by location, province, and city. You buy units to gain and keep that access.
Cost scales with the number of Product Access units you buy. You purchase units under one contract for the term you choose. There are no separate tiers, instance sizes, or usage overages that trigger extra charges. To expand access, you add more units rather than crossing a usage threshold.
You subscribe under a contract to gain access to the China POI dataset. Access lasts for the term you select. This is a single access-based model, not metered pay-per-use. You keep access for the contract period rather than paying per query or per record retrieved.
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Delivery details
AWS Data Exchange (ADX)
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
China POI Dataset | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
This is a Sample of the Point of Interest (POI) Dataset for the China. It contains a random sample of POIs in China, Hong Kong and Macau geocoded with rooftop accuracy as of May 20, 2021. For evaluation / trial purposes only. There are 568 POI categories, the top 10 are 购物 - Shopping, 美食 - Food, 公司企业 - Company, 交 通设施 - Transportation facilities, 停车场 - parking lot, 家居建材 - home building materials, 中餐厅 - Chinese restaurant, 小吃快餐店 - snack fast food restaurant, 酒店 - Hotel, 政府机构 - Government agency.
This is a Point of Interest (POI) Dataset for South Korea as of September 2021 containing 738,729 records. Of the 1941 categories, the top 10 are: Restaurant, Accommodation, Direction information, Enterprise, Supermarket, Protestantism, Hospital, Apartments, Agricultural facilities, Convenience.
The full category list is at https://store.poidata.xyz/kr