Usually resident population on 1 January (demo_urespop)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Central Statistical Bureau of Latvia


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Central Statistical Bureau of Latvia

1.2. Contact organisation unit

Social Statistics Methodology Section

1.5. Contact mail address

Lāčplēša Street 1, Riga, LV-1301, Latvia


2. Metadata update Top
2.1. Metadata last certified 10/10/2023
2.2. Metadata last posted 10/10/2022
2.3. Metadata last update 10/10/2023


3. Statistical presentation Top
3.1. Data description

Total usual residence population for the purposes of qualified majority voting in the Council.

3.2. Classification system

Not applicable.

 

3.3. Coverage - sector

Total usual residence population at national level.

3.4. Statistical concepts and definitions

Data on number of usual resident population at the end of the reference period (midnight of 31 December).

Population and Housing Census 2011 resulted in specifying number of resident population of Latvia, and it notably – by 155 thousand or 7% – differed from the population number calculated in line with the information in Register of Natural Persons supervised by the Office of Citizenship and Migration Affairs. As European Union does not have common methodology for estimating population number, Central Statistical Bureau has worked out a new method for more precise estimation of population number in Latvia. The method is based on statistical classification and migration mirror statistics. Statistical classification aims at dividing Latvian population registered within the Register of Natural Persons of Latvia into two classes (groups) – persons actually living in Latvia (usual resident population of Latvia) and persons actually living abroad. The statistical classification model has been developed with the help of logistic regression analysis. Data from administrative data sources are used to determine the statuss. 12-month period is used for migration (actual).

Total usual residence population  transmitted by the national statistical offices to Eurostat in the framework of the Usual Residence Population data collection is used also in other Demographic domains and also household surveys (LFS, EU-SILC).

3.5. Statistical unit

Person.

3.6. Statistical population

Not applicable.

3.7. Reference area

Data are available at national level of geographical detail.

3.8. Coverage - Time

Not applicable.

3.9. Base period

Not applicable.


4. Unit of measure Top

Person.


5. Reference Period Top

The reference date for population data is the end of the reference period (midnight of 31 December).


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

Not applicable.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

https://www.csp.gov.lv/en/information-security-and-data-protection.



Annexes:
Frequently asked questions about processing of personal data
7.2. Confidentiality - data treatment

Not applicable.


8. Release policy Top
8.1. Release calendar

https://stat.gov.lv/en/calendar.



Annexes:
Advance dissemination calendar
8.2. Release calendar access

https://stat.gov.lv/en/calendar.



Annexes:
Advance dissemination calendar
8.3. Release policy - user access

Not applicable.


9. Frequency of dissemination Top

Annual.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

National press release on number of population at the end of reference year, vital events (about reference year) and migration (reference year) – next year at the beginning of June.

10.2. Dissemination format - Publications

Annual publication "Demography", "Children in Latvia"; "Statistical Yearbook of Latvia" (publications are also available on Official Statistics Portal).

10.3. Dissemination format - online database

https://data.stat.gov.lv/pxweb/en/OSP_PUB/START__POP__IR__IRS/IRS010.



Annexes:
Population at the beginning of year, population change and key vital statistics 1920 - 2023
10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

Not applicable.

10.6. Documentation on methodology

See the information in the Annex file.



Annexes:
Methodology
10.7. Quality management - documentation

Not applicable.


11. Quality management Top
11.1. Quality assurance

To evaluate the quality of estimation, individual data from household surveys (LFS, EU-SILC, EHIS), Micro Census 2015 results and Social Security Administration Information System (SSAIS) on persons that have received social benefits from local governments are used. 

11.2. Quality management - assessment
1. Nationals
Please indicate the type of duration of stay when counting a person with national citizenship as an usual resident with a minimum duration of stay of 12 months according to Art. 2(d) of Reg. 1260/2013.
1. Actual 2. Intended 3. Actual and intended 4. Other. Please specify below:
 X      
    

 

2. EEA Citizens
Please indicate the type of duration of stay when counting a person with EEA citizenship as an usual resident with a minimum duration of stay of 12 months according to Art. 2(d) of Reg. 1260/2013.
1. Actual 2. Intended 3. Actual and intended 4. Other. Please specify below:
 X      
    

 

3. NON-EEA Citizens
Please indicate the type of duration of stay when counting a person with non-EEA foreign citizenship as an usual resident with a minimum duration of stay of 12 months according to Art. 2(d) of Reg. 1260/2013.
1. Actual 2. Intended 3. Actual and intended 4. Other. Please specify below:
 X      
    


12. Relevance Top
12.1. Relevance - User Needs

Data requested in Art. 4.1 of Reg. 1260/2013.

12.2. Relevance - User Satisfaction

Not applicable.

12.3. Completeness

Data transmitted as requested in Art. 4.1 of Reg. 1260/2013.


13. Accuracy Top
13.1. Accuracy - overall

To evaluate the quality of estimation, individual data from household surveys, Micro Census 2015 and Social Security Administration Information System (SSAIS) on persons that have received social benefits from local governments are used. In 2017 and 2018  migration panel surveys are organized.

13.2. Sampling error

Not applicable.

13.3. Non-sampling error

Not applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

For the purposes of qualified majority voting in the Council, Member States shall provide the Commission (Eurostat) with data on the total population at national level at the reference time, in accordance with Article 2(c), within eight months of the end of the reference year.

14.2. Punctuality

Not applicable.


15. Coherence and comparability Top
15.1. Comparability - geographical

Not applicable.

15.2. Comparability - over time

Not applicable.

15.3. Coherence - cross domain

The total usual residence population  transmitted by the national statistical offices to Eurostat in the framework of the Usual Residence Population data collection may differ from those available in National Accounts, Labour Force Survey or in the survey on Income and Living Conditions. The difference is given by the population coverage (see metadata specific to each domain).

15.4. Coherence - internal

The total usual residence population  transmitted by the national statistical offices to Eurostat in the framework of the Usual Residence Population data collection may differ from those available in the rest of the Demographic domain. The difference is given by the population definition (see metadata specific to each domain).


16. Cost and Burden Top

Not applicable.


17. Data revision Top
17.1. Data revision - policy

Not applicable.

17.2. Data revision - practice

Not applicable.


18. Statistical processing Top
18.1. Source data

Apart from the OCMA data, population statistics is also produced by using other administrative registers available to the CSB. The information meeting the needs of the statistical model is that available starting from 2010. CSB has access to the data in administrative registers managed by the following institutions:

  • State Revenue Service (SRS);
  • State Social Insurance Agency (SSIA);
  • Ministry of Education and Science (MES);
  • Administration of Studies and Research (ASR);
  • Agricultural Data Centre (ADC);
  • Rural Support Service (RSS);
  • National Health Service (NHS);
  • State Employment Agency (SEA);
  • Road Traffic Safety Directorate (RTSD);
  • Ministry of Welfare (MW);
  • State Chancellery (SC);
  • Until 2017 data from higher education institutions (since 2018 – from MES):
    • University of Latvia (UL);
    • Riga Technical University (RTU);
    • Transport and Telecommunications Institute (TSI);
    • Riga Teacher Training and Educational Management Academy (RTTEMA)[1];
    • Baltic International Academy (BIA);
    • Rezekne Academy of Technologies (RTA)[2];
    • Liepaja University (LiepU);
    • Riga Building College (RBC);
    • Riga Technical College (RTC);
    • Malnava College (MC);
    • Riga Medical College of the University of Latvia (RMCUL);
    • Daugavpils Medical College (DMC);
    • Riga 1st Medical College (R1MC);
    • Jāzeps Vītols Latvian Academy of Music (JVLMA);
    • Latvian Academy of Culture (LAC);
    • Latvian College of Culture at the Latvian Academy of Culture (LAC LCC);
    • State Police College (SPC);
    • Red Cross Medical College of Riga Stradiņš University (RSU RCMC);
    • Stockholm School of Economics in Riga (SSE Riga);
    • RISEBA University of Applied Sciences (RISEBA).

The CSB also has information from the Social Security Administration Information System (hereinafter –the SSAIS) on persons who have received social benefits from local governments The information is available from 2012 onwards (in 2012, there are no data on eight municipalities), therefore the SSAIS data are used for specifying population within the age group 18–30 years and for assessing the quality of the model. As of 2017, SSAIS data on people in local government long-term social care institutions and people using night shelter services are available.

The CSB is continuously evaluating additional data sources that might be used for the production of official statistics, and, as a result, agreements were concluded on acquisition of additional administrative data that are suitable for the production of population statistics:

  • As of 2015, population is specified as well as registered (declared) place of residence is defined by also using Prison Administration (PA) data on the persons in imprisonment.
  • As of 2016, population is specified as well as registered (declared) place of residence is defined by also using SSIA data on persons who are recipients of benefits/ pensions and are in social care institutions.
  • As of 2018, the CSB uses data of the Ministry of Welfare on people in social care institutions.
  • As of 2018, to specify the number of population the CSB has access also to the information on students from higher education institutions of Latvia (source – MES).
  • As of 2019, data of the State Education Quality Service on children not registered with educational institutions are available.
  • As of 2020, Maintenance Guarantee Fund data on persons having submitted a claim for maintenance , on persons for whose sustenance maintenance is paid, and on persons in lieu of which maintenance is paid, are available.


[1]  Since 2018, RPIVA is a part of  University of Latvia and Jāzeps Vītols Latvian Academy of Music.

[2]  Until 1 January 2016 – Rezekne Higher Education Institution.

18.2. Frequency of data collection

Register of Natural Persons – each month.

Other administrative data – once a year.

18.3. Data collection

Individual data from administrative data sources are received electronically (via server) (according to the agreements signed between statistical institution and data providers).

18.4. Data validation

After receiving data from administrative data sources, the number of records, lengh of ID codes (also number of double ID codes) are validated.

18.5. Data compilation

The statistical classification model has been developed with the help of logistic regression analysis. The aim of the model is to predict the probability of being a resident for each individual. Necessary probability to be included in the usual resident population differs depending on age and gender. Data from Population Register and administrative data sources are used to determine the statuss. With the help of administrative register data, on each person registered within the Register of Natural Persons there are more than 200 characteristics variables developed.

18.6. Adjustment

According to the Register of Natural Persons there were 2.052 million residents at 01.01.2023; according to the CSB estimation – 1.883 million usual residents – the difference was 175 000 or 9.3%. The reason for difference – non-registered migration (residents do not correct information in the register on their usual place of residence). The highest difference was in age groups 19–24.


19. Comment Top

The future work of the CSB on methodology of population estimate will continue in two directions – improvement of the existing logistic regression model for population estimate and migration flows, as well as work on development of a new methodology (model) of population statistics. The objective is to develop a methodology based on the data of administrative registers, but not directly using the 2011 Census data which become outdated over the years and less informative about the present situation.


Related metadata Top


Annexes Top
10.6 Documentation on methodology