PrepperPrepper Open Data Bank

CI_SES23 CI_SES22 CI_SES19

Summary

This dataset is a view that combines the item data from the “Medical Facility Survey” extracted from the statistics table of the All Statistics Survey [CI_ST], with the municipal statistics master [CI_ST_MST], the municipal survey master [CI_TB_MST], and the municipal master table [CI_MST].

  • 2023
  • 2022
  • 2019

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

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

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

Sample Data

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

Click here for sample data from Japanese City Data

Data Fields

E_NAME TABLE REFERENCE
ESTATDB_STATS_FULL_IDCI_ST
CITY_CODECI_ST
STATS_YEARCI_ST
STATS_VALUECI_ST
STATS_UNITCI_ST
ESTATDB_STATS_FULL_NAMECI_ST_MST
ESTATDB_RESEARCH_TABLE_IDCI_ST_MST
STATS_TAB01_CODECI_ST_MST
STATS_TAB01_NAMECI_ST_MST
STATS_CAT01_CODECI_ST_MST
STATS_CAT01_NAMECI_ST_MST
ESTATDB_TABLE_NAMECI_TB_MST
PREF_CODECI_MST
PREF_NAMECI_MST
CITY_NAMECI_MST
※This field is common for 2019, 2022 and 2023 data.

References

This 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

Aggregated Land Data
https://www.e-stat.go.jp/stat-search/database?tclass=000001207741&cycle=0

Special Notes

Issue:

There are records where the ESTATDB statistic full name [ESTATDB_STATS_FULL_NAME] is the same, but the statistic value [STATS_VALUE] is different.

Reason for difference:

This is because the ESTATDB_Table Name [ESTATDB_TABLE_NAME] is different.

Details:

  • This is an example for tables 3-3 and 4-3-1.
ESTATDB_STATS_FULL_IDESTATDB_STATS_FULL_NAMESTATS_VALUECITY_NAMEESTATDB_TABLE_NAME
0112020009|202001|0|0|00|0人口|国籍総数|総数|総数|総数1,973,395札幌市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1,726,966札幌市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 another view, but the same issue occurs in this view.

Example case:

The statistics values, such as [STATS_VALUE], are different despite the [ESTATDB_STAT_FULL_NAME] being the same.

The reason for the difference in statistics values is because Table Number 3-3 includes the total population, including those under 15 years old, while Table Number 4-3-1 includes the total population of those over 15 years old.

Note:

If only [ESTATDB_STAT_FULL_NAME] is specified to calculate the statistics value, it will result in the sum of the statistics value from two tables.

Solution:

When specifying [ESTATDB_STAT_FULL_NAME] to calculate the statistics value, please also specify [ESTATDB_STAT_FULL_ID] or [ESTATDB_TABLE_NAME].