PrepperPrepper Open Data Bank

CI_HLS23_02 CI_HLS18_02

Summary

This dataset is a view created by extracting the “Housing and Land Survey – Tabulation on Housing Structure and Related Items” from the statistical table CI_ST of the National Statistical Survey, and combining it with the Municipality Statistical Master (CI_ST_MST), the Municipality Survey Master (CI_TB_MST), and the Municipality Master Table (CI_MST).
It contains data on building characteristics such as structure, construction method, and construction period.

  • 2023
  • 2018

The survey year is 2023.
In the Municipality Survey Master (CI_TB_MST), the ESTATDB_RESEARCH_ID (Survey ID) is 0622023.

 

The survey year is 2018.
In the Municipality Survey Master (CI_TB_MST), the ESTATDB_RESEARCH_ID (Survey ID) is 0622018.

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 REFERENCE TABLE
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
STATS_CAT02_CODECI_ST_MST
STATS_CAT02_NAMECI_ST_MST
STATS_CAT03_CODECI_ST_MST
STATS_CAT03_NAMECI_ST_MST
STATS_CAT04_CODECI_ST_MST
STATS_CAT04_NAMECI_ST_MST
STATS_CAT05_CODECI_ST_MST
STATS_CAT05_NAMECI_ST_MST
ESTATDB_TABLE_NAMECI_TB_MST
PREF_CODECI_MST
PREF_NAMECI_MST
CITY_NAMECI_MST

Special Notes

Issue:

There are records where ESTATDB_statistic name [ESTATDB_STATS_FULL_NAME] is the same, but the statistics 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.