PrepperPrepper Open Data Bank

PR_SES23 PR_SES22 PR_SES19

Summary

This dataset is a view that combines the item data of the “Medical Facility Survey” from the statistical quantity table [PR_ST] of the All-Japan Statistical Survey, with the prefecture statistical quantity master [PR_ST_MST], the prefectural survey master [PR_TB_MST], and the prefecture master table [PR_MST].

  • 2023
  • 2022
  • 2019

The survey year is 2023.
The ESTATDB_RESEARCH_ID (Survey ID) for the Municipality Survey Master [PR_TB_MST] is 0512023.

The survey year is 2022.
The ESTATDB_RESEARCH_ID (Survey ID) for the Municipality Survey Master [PR_TB_MST] is 0512022.

The survey year is 2019.
The ESTATDB_RESEARCH_ID (Survey ID) for the Municipality Survey Master [PR_TB_MST] is 0512019.

Sample Data

Please select the table you wish to view from the data dictionary in the snowflake marketplace.

Click here to view sample data from Japanese Prefecture Data

Data Fields

E_NAME TABLE REFERENCE
ESTATDB_STATS_FULL_IDPR_ST
PREF_CODEPR_ST
STATS_YEARPR_ST
STATS_VALUEPR_ST
STATS_UNITPR_ST
ESTATDB_STATS_FULL_NAMEPR_ST_MST
ESTATDB_RESEARCH_TABLE_IDPR_ST_MST
STATS_TAB01_CODEPR_ST_MST
STATS_TAB01_NAMEPR_ST_MST
STATS_CAT01_CODEPR_ST_MST
STATS_CAT01_NAMEPR_ST_MST
ESTATDB_TABLE_NAMEPR_TB_MST
PREF_NAMEPR_MST
※ This field is common for 2019, 2022 and 2023 data.

References

The data is prepared by Truestar, based on the following data.

Medical Facility Survey

https://www.e-stat.go.jp/stat-search/database?tclass=000001222742&cycle=7&year=20230

Special notes

Issue:

There are records where ESTATDB_statistical_name [ESTATDB_STATS_FULL_NAME] is the same but the statistics value [STATS_VALUE] is different.

Reason for difference:

This is because ESTATDB_table_name [ESTATDB_TABLE_NAME] is different.

Details:

  • This is an example of table number 3-3 and table number 4-3-1.
ESTATDB_STATS_FULL_IDESTATDB_STATS_FULL_NAMESTATS_VALUEPREF_NAMEESTATDB_TABLE_NAME
0112020009|202001|0|0|00|0人口|国籍総数|総数|総数|総数5,224,614北海道3-3男女,年齢(5歳階級),出生の月,国籍総数か日本人別人口-全国,都道府県,市区町村
0112020010|202001|0|0|0|00人口|国籍総数|総数|総数|総数4,609,750北海道4-3-1男女,年齢(5歳階級),配偶関係,国籍総数か日本人別人口(15歳以上)-全国,都道府県,市区町村

※ This is an example from other views, but the situation is the same in this view.

Example case:

Although ESTATDB_Statistics_Full_Name [ESTATDB_STATS_FULL_NAME] is the same, the statistics value [STATS_VALUE] are different.

The reason for the difference in statistics is that Table 3-3 includes the total population, including those under 15 years old, while Table 4-3-1 includes the total population of those 15 years old and older.

Note:

In this case, if you only specify ESTATDB_Statistics_Full_Name [ESTATDB_STATS_FULL_NAME] to output the statistics value, it will be the sum of statistics values from two tables.

Solution:

When specifying ESTATDB_Statistics_Full_Name [ESTATDB_STATS_FULL_NAME] to output the statistics value, please specify ESTATDB_Statistics_Code [ESTATDB_STATS_FULL_ID] and ESTATDB_Table_Name [ESTATDB_TABLE_NAME] together.