1. Subnational statistics Plans on the use of new data sources and novel methods
Olga Pritula
NUAC, RESCO, Project leader
Central Statistical Bureau of Latvia
Olga. T

2. Definition of small densely populated areas of Latvia
Progress Meeting on Subnational Statistics - 7th November 2018

3. Goal, process and results
Administrative data
New methodology will be developed to define small densely populated areas
Data on
Demography,
Labour market,
Income for small densely populated areas
State Land Service
Small area estimation methods
Office of Citizenship and Migration Affairs
will be tested
Topographic map
Latvian Geospatial Information Agency
If needed
Progress Meeting on Subnational Statistics - 7th November 2018

4. Villages with official borders
Data source: State Address Register Information System, State Land Service. Data at the beginning of 2018
Progress Meeting on Subnational Statistics - 7th November 2018

5. Densely populated areas (draft version, 100m buffer zones around populated buildings and residental houses, ≥50 persons)
Data source: State Address Register Information System, State Land Service. Data at the beginning of 2018
Progress Meeting on Subnational Statistics - 7th November 2018

6. Densely populated areas and villages in Tukums county
Progress Meeting on Subnational Statistics - 7th November 2018

7. Densely populated areas and villages in Tukums county
Rauda – densely populated area in Tukums and Engure counties, village border is defined only in Engure county
Data source: State Address Register Information System, State Land Service (data at the beginning of 2018) and Geospatial Information Agency orthophoto from LVM WMS
Progress Meeting on Subnational Statistics - 7th November 2018

8. Densely populated areas and villages in Tukums county
Strutele – densely populated area in Tukums and Jaunpils counties, village border is not defined
Data source: State Address Register Information System, State Land Service (data at the beginning of 2018) and Geospatial Information Agency orthophoto from LVM WMS
Progress Meeting on Subnatonal Statistics - 7th November 2018

9. Densely populated areas and villages in Tukums county
Degole – village <50 inahabitants, densely populated area is not defined
Data source: State Address Register Information System, State Land Service (data at the beginning of 2018) and Geospatial Information Agency orthophoto from LVM WMS
Progress Meeting on Subnational Statistics - 7th November 2018

10. Densely populated areas and villages in Tukums county
Ārlavciems – densely populated area, village border is not defined
Data source: State Address Register Information System, State Land Service (data at the beginning of 2018) and Geospatial Information Agency orthophoto from LVM WMS
Progress Meeting on Subnatonal Statistics - 7th November 2018

11. Densely populated areas and villages in Tukums county
Tukums – several densely populated areas, inc. partly overlap with Milzkalne village
Data source: State Address Register Information System, State Land Service (data at the beginning of 2018) and Geospatial Information Agency orthophoto from LVM WMS
Progress Meeting on Subnational Statistics - 7th November 2018

12. To do:
Criteria on definition of densely populated areas. To be considered:
Commission Implementing Regulation (EU) 2017/543 on topics and breakdowns of population and housing censuses (definition of locality)
Experiences from other countries, e.g., Sweden where joint Nordic definition is in use since 1960
Optimal way to deal with updates (borders and population number change over time)
Meaningful names (in most cases, will match names of villages, cities and their districts)
Progress Meeting on Subnational Statistics - 7th November 2018

13. Definition of new methodology for economic development indicator(s) for cities of Latvia
Progress Meeting on Subnational Statistics - 7th November 2018

14. Present situation
Requirements of the ESA 2010 Transmission Program - calculation and delivery of Gross Value Added data by industry A*10 and by NUTS 3 region
6 NUTS level 3 regions in Latvia
This does not satisfy needs of domestic users
Since 2015, the CSB calculates and publishes GVA also for 8 biggest cities, on experimental grounds
One figure per city. Allocation by industry cannot be published due to confidentiality reason
Progress Meeting on Subnational Statistics - 7th November 2018

15. 8 Big cities of Latvia (population in 2018)
23 063
34 855
49 073
56 383
28 156
69 180
22 188
Max - Daugavpils
Min - Jēkabpils
83 250
Progress Meeting on Subnational Statistics - 7th November 2018

16. Problems
Statistical analysis of the obtained results does not give full confidence that figures show correct picture on economic growth of the cities.
Results become available 24 months after the reference year - too late.
GVA
Year
Progress Meeting on Subnational Statistics –
7th November 2018
City

17. Challenge for the CSB To find what information would be:
the best for the assessment of socio-economic growth of the cities
accessible in shorter terms
giving more stable and reliable results
These desirable variables can be taken from any data pool, not necessarily from macroeconomic statistics
Progress Meeting on Subnational Statistics - 7th November 2018

18. Challenge and planned steps
The CSB, first, is looking for advice from other EU Member States - if one have experience in prompt assessment of socio-economic development of municipalities smaller than NUTS 3 level, please, let us know!
Short mission of 2-3 experts to get acquainted with the methods and sources in use
Procurement of external expert is planned to be held
New experience will be used for definition of work for the contractor (expert)
Progress Meeting on Subnational Statistics - 7th November 2018

19. Thank you for attention!