Using registers E-enumeration and CAPI Electronic map. Census process. E-enumeration. Census moment and census period E-enumeration process

Similar documents
Use of Multi-Mode Methods in Census Data Collection

Economic and Social Council

Report on the First Trial Census of the Register-Based Population and Housing Census (REGREL)

2020 Population and Housing Census Planning Perspective and challenges for data collection

Economic and Social Council

Joint ECE-EUROSTAT Work Session on Population and Housing Censuses (Ohrid, The former Yugoslav Republic of Macedonia, May 2003)

LOGO GENERAL STATISTICS OFFICE OF VIETNAM

Strategies for the 2010 Population Census of Japan

Economic and Social Council

A Country paper on Population and Housing census of Nepal and Consideration for Electronic data capture

Planning for the 2010 Population and Housing Census in Thailand

USING CENSUS RECORDS IN GENEALOGICAL RESEARCH AN ONLINE COURSE

Country report Germany

SURVEY ON USE OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)

Population Censuses and Migration Statistics. Keiko Osaki Tomita, Ph.D.

Economic and Social Council

MODERN CENSUS IN POLAND

A Special Case of integrating administrative data and collection data in the context of the 2016 Canadian Census

A QUALITY ASSURANCE STRATEGY IN MALAYSIA 2020 POPULATION AND HOUSING CENSUS

Supplementary questionnaire on the 2011 Population and Housing Census SLOVAKIA

The progress in the use of registers and administrative records. Submitted by the Department of Statistics of the Republic of Lithuania

Economic and Social Council

CENSUS DATA COLLECTION IN MALTA

SADA. South African Data Archive. Population Census, Statistics South Africa CODEBOOK SADA 0070

Methodologies and IT-tools for managing and monitoring field work using geo-spatial tools and other IT- Tools for monitoring

SESSION 3: ESSENTIAL FEATURES, DEFINITION AND METHODOLOGIES OF POPULATION AND HOUSING CENSUSES: MALAYSIA

PREPARATIONS FOR THE PILOT CENSUS. Supporting paper submitted by the Central Statistical Office of Poland

Thailand s Planning for the next Census in 2020 (Draft ) Thailand s Team National Statistical Office,Thailand 24 Jan.

The Canadian Century Research Infrastructure: locating and interpreting historical microdata

K.R.N.SHONIWA Director of the Production Division Zimbabwe National Statistics Agency

The Accuracy and Coverage of Internet based Data collection for Korea Population and Housing Census

Collection and dissemination of national census data through the United Nations Demographic Yearbook *

Key Words: age-order, last birthday, full roster, full enumeration, rostering, online survey, within-household selection. 1.

Italian Americans by the Numbers: Definitions, Methods & Raw Data

2011 National Household Survey (NHS): design and quality

2011 POPULATION and HOUSING CENSUS in TURKEY

Lesson Learned from the 2010 Indonesia Population and Housing Census Dudy S. Sulaiman, BPS-Statistics Indonesia

Census 2000 and its implementation in Thailand: Lessons learnt for 2010 Census *

Singapore s Census of Population 2010

TOWARDS POPULATION & HOUSING CENSUS OF MALAYSIA, 2020 (DATA COLLECTION WITH INTERNET)

Tonga - National Population and Housing Census 2011

ASIA AND PACIFIC COMMISSION ON AGRICULTURAL STATISTICS. Technology use in Agricultural Census, Thailand experience

United Nations Statistics Division Programme in Support of the 2020 Round of Population and Housing Censuses

ECE/ system of. Summary /CES/2012/55. Paris, 6-8 June successfully. an integrated data collection. GE.

The 2020 Census A New Design for the 21 st Century

Article. The Internet: A New Collection Method for the Census. by Anne-Marie Côté, Danielle Laroche

Internet Survey Method in the Population Census of Japan. -- Big Challenges for the 2015 Census in Japan -- August 1, 2014

The Internet Response Method: Impact on the Canadian Census of Population data

RURAL, AGRICULTURAL & FISHERY CENSUS IN VIETNAM

1) Analysis of spatial differences in patterns of cohabitation from IECM census samples - French and Spanish regions

Quality assessment in a register-based census administrative versus statistical concepts in the case of households

FOREWORD. [ ] FAO Home Economic and Social Development Department Statistics Division Home FAOSTAT

Supplementary questionnaire on the 2011 Population and Housing Census SWITZERLAND

; ECONOMIC AND SOCIAL COUNCIL

Sampling Techniques. 70% of all women married 5 or more years have sex outside of their marriages.

Demographic and Social Statistics in the United Nations Demographic Yearbook*

Saint Lucia Country Presentation

Symposium 2001/36 20 July English

Can a Statistician Deliver Coherent Statistics?

Lao PDR - Multiple Indicator Cluster Survey 2006

Preparing IPUMS samples for Ireland. Deirdre Cullen Senior Statistican

Sudan Experience in Conducting Population Censuses. Hagir Osman Eljack (corresponding author) & Awatif El Awad Musa.

The U.S. Decennial Census A Brief History

population and housing censuses in Viet Nam: experiences of 1999 census and main ideas for the next census Paper prepared for the 22 nd

census 2016: count yourself in

Linking Migration Administrative Migration Records And. The Electoral List For Estimating The Number Of Costa

DATA VALIDATION-I Evaluation of editing and imputation

Country presentation

American Community Survey 5-Year Estimates

American Community Survey 5-Year Estimates

Key Considerations for Planning and Management of Census Operations: Bangladesh Perspective based on POPULATION AND HOUSING CENSUS 2011

USE OF GEOSPATIAL TECHNOLOGY DURING ENUMERATION

UNITED NATIONS - NATIONS UNIES ECONOMIC AND SOCIAL COMMISSION FOR ASIA AND THE PACIFIC STATISTICAL INSTITUTE FOR ASIA AND THE PACIFIC (SIAP)

Using administrative data in production of population statistics; register-based surveys

Economic and Social Council

National Census Geography Some lessons learned and future challenges in European countries

COUNTRY REPORT: TURKEY

FUTURE PLANS AND INNOVATION CENSUSES SOUTH AFRICA S STORY

Reengineering the 2020 Census

Planning for an increased use of administrative data in censuses 2021 and beyond, with particular focus on the production of migration statistics

Liberia - Household Income and Expenditure Survey 2016

Cyprus Blaise Integrated Census System (CY-BICS)

Canadian Census Records

Decision Making Process for Adoption of Electronic Data Collection. Dr. Amara Satharasinghe Department of Census & Statistics Sri Lanka

The 2020 Census: A New Design for the 21 st Century Deirdre Dalpiaz Bishop Chief Decennial Census Management Division U.S.

SPECIAL FEDERAL CENSUS SCHEDULES AN ONLINE COURSE

Supplement No. 7 published with Gazette No. 18 dated 30 August, THE STATISTICS LAW (1996 REVISION) THE CENSUS (CAYMAN ISLANDS) ORDER, 2010

Introduction Strategic Objectives of IT Operation for 2008 Census Constraints Conclusion

How It Works and What s at Stake for Massachusetts. Wednesday, October 24, :30-10:30 a.m.

REPORT OF THE UNITED STATES OF AMERICA ON THE 2010 WORLD PROGRAM ON POPULATION AND HOUSING CENSUSES

5 TH MANAGEMENT SEMINARS FOR HEADS OF NATIONAL STATISTICAL OFFICES (NSO) IN ASIA AND THE PACIFIC SEPTEMBER 2006, DAEJEON, REPUBLIC OF KOREA

2020 Census: Researching the Use of Administrative Records During Nonresponse Followup

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES American Community Survey 5-Year Estimates

AmericasBarometer, 2016/17

SURVEY ON POLICE INTEGRITY IN THE WESTERN BALKANS (ALBANIA, BOSNIA AND HERZEGOVINA, MACEDONIA, MONTENEGRO, SERBIA AND KOSOVO) Research methodology

Transition to Electronic Data Collection for the Philippines Census 2020

Country Paper : Macao SAR, China

Global and Regional Experience on the Use of Technology in Censuses. Meryem Demirci United Nations Statistics Division

ESSnet on Data Collection for Social Surveys Using Multi Modes (DCSS)

2011 Census Teacher s Kit

Transcription:

COMBINED CENSUS METHODOLOGY IN 2011 CENSUS IN ESTONIA Diana Beltadze Statistics Estonia Content Choice of methodology Using registers E-enumeration and CAPI Electronic map Census process. E-enumeration Census moment and census period E-enumeration process Census results Tested environment for complex checking of surveys High quality of results Lessons learned from the census E-activities are successful in Estonia 1

CHOICE OF METHODOLOGY Preparatory period Preparations started as early as 2006. First question: can we skip fieldwork and organise a solely register-based census? Estonian state registers were good but did not cover all the information required: no data on occupations, educational level of elderly people etc. The Census Committee of the Government of the Republic approved the combined methodology as the method to be used in the 2010 census round. 2

Combined methodology. Using registers Several registers were used in different census stages. Information on current learning was taken from a register. Various data (citizenship, official family status etc.) were taken from registers and prefilled, respondents had to check them. Registers were also used for: preparing enumeration lists filling random blanks in questionnaires assessing coverage Combined methodology. Data-collection forms: CAWI and CAPI Two new technical solutions were introduced: self-completion of questionnaires on the internet, entry of answers directly in laptop computers during census interviews. All data were automatically sent to the census database no data entry required. Data were checked on-line using a series of logical checks. Additional possibilities for data-collection (in case of emergencies or in unapproachable places like small islands) were paper questionnaires and telephone interviews (both used for less than 1% of the cases). 3

Marking a residence s spatial coordinates on an online map People enumerating themselves on the Internet had to find their dwelling on an e-map and mark it. The same was done by the enumerators during the period of fieldwork. Web applications: map application for online respondents 4

Web applications: map application for online respondents 30.09.2013 Statistics Estonia CENSUS PROCESS. E-ENUMERATION 5

Census moment and census time The census moment was the very last day allowed by Eurostat for Member States: 31 of December 2011 at 00:00 The census period was divided into the following stages: e-census: 31.12.11 1.02.12 data organisation: 2.02.12 19.02.12 census interviews: 20.02.12 31.03.12 Data organisation started already at the beginning of the e-census to avoid approaching households where all people had enumerated themselves online. E-census How many people will enumerate themselves online? The prognoses varied from 5% to 80%. After the pilot census (31.12.2009 31.03.2010) the forecast was 25%. The actual result was much better: 67%. 6

E-census. Probable reasons for success A long and intense campaign ensured a positive reception of the census in the society. Estonians are experienced in using the Internet (banking, voting etc.). The transparency of the census process: the results (by counties) were available on the census homepage and were updated each hour. An idea of breaking the world record (to surpass Canada, whose e-enumeration score was ~55%) was put forward by a popular writer, creating excitement in the society about getting a better result. 70000 60000 50000 40000 30000 20000 10000 0 Intensity of e-enumeration. Number of self-enumerated persons by day Beginning Finish 7

Usage activity of the e-census environment over 24 hours (%) 10.00 9.00 8.00 7.00 6.00 5.00 4.00 3.00 2.00 1.00 0.00 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Share of population enumerated online by age group and sex (%) 100.0 90.0 80.0 70.0 60.0 50.0 40.0 30.0 20.0 10.0 0.0 M F 8

Share of online enumeration by counties Almost uniform distribution of e- enumeration The difference between the share of e-enumeration of the most active (Tartu) and the most passive (Ida-Viru) counties was only about 60%. That means, in each village and town of Estonia, there was a lot of people who were able to enumerate themselves online. 9

CENSUS RESULTS First added bonus environment For the census, a general-purpose systematic software (environment) was created that will be used in the future for surveys and for processing, analysing and combining data from different sources. The environment was tested thoroughly during the census. It can also be used for the forthcoming register-based censuses. 10

Environment for monitoring the census process as whole The environment (software-system) created for the census allowed Statistics Estonia: To create the questionnaires, implementing the help-texts and logical checks; To create optimal interviewing areas (on a map) and the corresponding enumeration lists with the dwelling addresses; To gather data (via the Internet or on laptops) and create the census database (of raw data); To monitor the work of each enumerator and check their success or lag during the fieldwork period; To define the roles of people working with data; to follow the security rules and restrictions to protect the data; To calculate the necessary output variables using the census data. Quality of census results The questionnaires were rather long: besides obligatory questions, the ethnic nationality, mother tongue, command of foreign languages and local dialects, birthplace of parents and grandparents, number of children borne were asked about, there were also some questions about health, sources of subsistence etc. Estimated coverage rate was for persons was about 98%, for dwellings 99%, the average for census items (questions) was about 99%. In general, the quality of e-census was not worse than that of interviews. Only about 1% of questionnaires filled in online were improved by a face-to-face interview. 11

Cost The cost of the Estonian census was considerably high: 10,4 per capita. One reason for this is that the population size is only 1,3 million and the population density is low. However: Due to the high e-census participation rate, about 20% of the planned resources were saved; The census environment that can be used for future surveys and data analysis was prepared and tested; Preparations for future register-based censuses were also started. Population density (people/km 2 ) 12

LESSONS LEARNED Estonian people are ready to use the Internet for various procedures, even if it is time-consuming and not very easy. Good results in large-scale nationwide actions require a long-lasting campaign and transparent actions. The big problem of contemporary censuses is the mobility of people. In Estonia, up to 20% of people do not live in their registered residence. Identifying addresses was another problem it was greatly solved by the new address standard. Technical solutions are not 100% reliable (e.g. Internet connection). It is reasonable to have a plan B. 13

Thank you for your attention! 14