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Suphalak Prasertsang Pornpan Kaewsringam Krongsuk Chayakul Tanaporn Kongprasert Pannee Pattanapradit NATIONAL STATISTICAL OFFICE, THAILAND 10-14 MAY 2010.

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Presentation on theme: "Suphalak Prasertsang Pornpan Kaewsringam Krongsuk Chayakul Tanaporn Kongprasert Pannee Pattanapradit NATIONAL STATISTICAL OFFICE, THAILAND 10-14 MAY 2010."— Presentation transcript:

1 Suphalak Prasertsang Pornpan Kaewsringam Krongsuk Chayakul Tanaporn Kongprasert Pannee Pattanapradit NATIONAL STATISTICAL OFFICE, THAILAND 10-14 MAY 2010 UNSD

2 Official statistics in Thailand began on April 1, 1915. The department underwent several changes in status until it became the National Statistical Office (NSO) in the Office of the Prime Minister on May 23, 1963. According to the governmental reform in around October 2002, In present the NSO is in the Ministry of information and communication Technology. The organization of the NSO is divided into two part, i.e. the central and provincial administrations Organization Historical Background Historical Background

3 NSO Central Administration Information and Communication Technology Center Economic and Social Statistical Bureau Policy and Statistical Techniques Bureau Statistical Forecasting Bureau Public Opinion Division Field Administration Division Office of the Secretary Local Administration 75 Provincial Statistical Office Administrative Development Group National Statistical Committee Internal Auditing Unit Organization Chart

4 4 Central OfficeMain duties 1. Economic and Social Statistic Bureau To conduct principal statistics by means of census and survey. 2. Policy and Statistical Technique Bureau - To develop national statistical system, national statistical standard. - To set up sampling plans. - To set up criteria of statistical map for field operation. - To evaluation of data collected from census and survey. 3. Field Administration Division To collect data from censuses and surveys in BKK area. Local Administration Main duties 75 Province Statistical Offices - To collect data for national censuses and surveys in provincial area. - To give advice to other local government agencies for data collection strategy. Duties of Central office and Duties of Central office and Local Administration

5 Population and Housing Census  National Statistical Office has had long experience in undertaking population experience in undertaking population and housing census and housing census  The latest Population and Housing Census was carried out in April 2000 Census was carried out in April 2000

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7  To measure both coverage and content errors and content errors The objective of the PES The objective of the PES

8 Planning of the PES Planning of the PES  Planning PES team was different  Planning PES team was different from the Planning census team from the Planning census team  Enumerator and supervisor were  Enumerator and supervisor were selected from provincial statistical selected from provincial statistical offices who has the experience to offices who has the experience to conduct the field operation conduct the field operation Staff Staff

9 Staff (contd.) Staff (contd.)  Enumerator and supervisor of  Enumerator and supervisor of the PES were not the same staff the PES were not the same staff of the census. of the census.

10 Budget  The budget from PES was a  The budget from PES was a part of a census programme part of a census programme

11  the final list of blocks /  the final list of blocks / group of villages covered group of villages covered during the census during the census Frame Frame

12 Sample design Sample design  Stratified One - Stage Sampling  Region was constituted strata  The sampling unit was block / group of villages group of villages

13 Stratification  Group of provinces in each region was constituted strata was constituted strata  There were altogether 4 strata  Each stratum was divided into 2 parts  Municipal areas  Non - municipal areas Sample design (contd.) Sample design (contd.)

14  A number of sample blocks / group of villages were selected systematically of villages were selected systematically in each sub - stratum in each sub - stratum  The total sample blocks / group of  The total sample blocks / group of villages were 1,520 from 67,800 villages were 1,520 from 67,800 blocks / group of villages blocks / group of villages Selection of Sampling Unit Sample design (contd.) Sample design (contd.)

15  Municipal areas Selection of Sampling Unit (contd.) The sample blocks were 570 The sample blocks were 570 from 21,200 blocks. from 21,200 blocks. Sample design (contd.) Sample design (contd.)

16 The sample group of villages The sample group of villages were 950 from 46,600 group were 950 from 46,600 group of villages. of villages.  Non - municipal areas Sample design (contd.) Sample design (contd.)

17 - part of a village, in the case that the village was big A group of villages consisted of at least 100 households. The group of villages might be - one village or - more than one village or Sample design (contd.) Sample design (contd.)

18 The PES methodology required independence between the census and the PES. The PES methodology required independence between the census and the PES.  period of PES 1 - 30 June 2000 Field work Field work  the total enumerators were 450

19 Field work (contd.) Field work (contd.)  conducting for 4 blocks / group of villages  listing and enumerating simultaneously

20 Matching Matching  the One - way match  there are 2 steps for matching 1. Matching of data from the listing - household by household - household by household  manual method was adopted

21 Matching (contd.) Matching (contd.)  found both in the census and PES  found only in the PES  found only in the census 1. Matching of data from the listing (contd.)

22 Matching (contd.) Matching (contd.) The result from the matching was evaluated as the coverage error. 1. Matching of data from the listing (contd.)

23 Matching (contd.) Matching (contd.) 2. Matching of data from enumeration  Household’s members in the households found both in the households found both in the PES and census were matched PES and census were matched  Sex, age, education, marital  Sex, age, education, marital status etc. were matched item status etc. were matched item by item by item

24 Matching (contd.) Matching (contd.) The result from the matching was evaluated as the content error. 2. Matching of data from enumeration (contd.)

25 Analysis and Evaluation Analysis and Evaluation For the analysis and evaluation data, The results of matching between census and PES were used to estimate and compute the statistical value for the coverage and the content errors of census The results of matching between census and PES were used to estimate and compute the statistical value for the coverage and the content errors of census

26 Analysis and Evaluation (contd.) Analysis and Evaluation (contd.) The statistical value that were used to measure in the coverage and the content errors were : The statistical value that were used to measure in the coverage and the content errors were :

27 Analysis and Evaluation (contd.) Analysis and Evaluation (contd.) For the coverage error 1. Net Coverage Error Rate : NCR 2. Gross Coverage Error Rate : GCR 3. Completeness Rate : CR

28 Analysis and Evaluation (contd.) Analysis and Evaluation (contd.) For the content error 1. Net Difference Rate : NDR 2. Index of Inconsistency : IIC 3. Degree of agreement : DA

29 PES Report PES Report PES results were only PES results were only used in the NSO, classified by region, municipal areas and non - municipal areas

30 Lessons Learned Lessons Learned From the PES 2000,the matching From the PES 2000,the matching procedure that was done by manual should be improved for the PES 2010.

31 PES 2010 PES 2010 The objective  To measure both coverage and content errors and content errors  The PES results may be used to adjust the census figures to adjust the census figures

32  Population and housing census will be conduct in July 2010 in July 2010  PES will be conduct in September 2010

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