2013 Welfare Monitoring Survey

Dates Collected: 20 Jul 2013 - 15 Aug 2013
Date Released: 01 Dec 2014

The Welfare Monitoring Survey (WMS) is a biennial longitudinal household survey covering all the regions of Georgia that are controlled by the Government. The results for the 2013 round are nationally representative, with 3,726 households having completed the questionnaire. The study examines the prevalence and distribution of issues such as consumption poverty, material deprivation, subjective poverty and social exclusion, and makes particular reference to the role of social transfers and the well-being of children.

Methodology

There are no highlights on file for this dataset.

The aim of the WMS 2013 was to interview the same ‘well-informed respondent’ in each household who had participated in the 2009 and 2011 surveys. The longitudinal dataset enables analysis of changes in household and personal circumstances over a four-year period. Fieldwork began on 23 July 2013 and finished on 15 August 2013. It was carried out by 122 interviewers, with regional supervisors, all across Georgia.

Sampling

The sampling strategy targeted the 4,808 households [1], in which face-to-face interviews had been completed in 2009. Successful interviews were held with respondents from 4,147 households, an 86 per cent response rate in 2011. In the third round, 3,726 questionnaires were completed, constituting an 89.8 per cent response rate of 2011 sample.

Table 2.1: Survey response rates by region in 2013.

Regions

Sample size in 2011

Completed questionnaires in 2013

Response rate (%)

Tbilisi

431

361

83.8

Ajara

247

223

90.3

Guria

291

269

92.4

Imereti, Racha-Lechkhumi

831

754

90.7

Kakheti

577

512

88.7

Mtskheta-Mtianeti

235

212

90.2

Kvemo Kartli

506

434

85.8

Samtskhe- javakheti

295

276

93.6

Samegrelo, Zemo Svaneti

395

371

93.9

Shida Kartli

339

314

92.6

TOTAL

4,147

3,726

89.8

Of the 421 non-responses, only 48 were due to refusals to participate. But in the majority of cases, respondents had moved away, either temporarily or permanently.

Data weighting

A household weighting variable was provided by the survey research company for use with the 4,147 households in the sample in 2011. This was based on the weights used in the 2009 survey, as stratified by region and type of location. Table 2.2 shows that the geographical distribution of the population of Georgia changed little between 2009 and 2013, so the new 2013 weights only adjust for changes in sample size due to non-response. Separately individual weights are used on questions addressing individual household members. 

Table 2.2: Distribution of population by region at the beginning of 2009, 2011 and 2013.

 

2009 (thousands)

2009 (%)

2011 (thousands)

2011 (%)

2013 (thousands)

2013 (%)

Tbilisi

1,136.6

25.9

1,162.4

26.0

1,171.2

26.1

Ajara

382.4

8.7

390.6

8.7

394.2

8.8

Guria

138.8

3.2

140.3

3.1

139.2

3.1

Imereti, Racha

741.2

16.9

751.8

16.8

750.2

16.7

Kakheti

401.4

9.2

406.2

9.1

405.1

9.0

Mtskheta-Mtianeti

105.2

2.4

109.3

2.4

108.9

2.4

Samegrelo-Zemo

468

10.7

477.1

10.7

476.9

10.6

Samtskhe-Javakheti

208.1

4.7

212.8

4.8

213.5

4.8

Kvemo Kartli

488.8

11.2

505.7

11.3

511.1

11.4

Shida Kartli

313

7.1

313

7.0

313.5

7.0

Total

4,383.5

100.0

4,469.2

100.0

44,83.8

100.0

Source: http://www.geostat.ge/.

Comparability with previous study

The achieved survey sample spanning 2009, 2011 and 2013 was 3,726 households. Examination of the 2013 survey data shows that 3,586 households completed a full questionnaire in all three survey years (Table 2.3).

Table 2.3: Number of surveyed households in 2013.

Years survey completed

Number of households

Surveyed in all three years

3,586

Surveyed only in 2009 and 2013

75

Surveyed only in 2013

65

Total

3,726

Seventy-five households in the 2013 sample were interviewed in 2009, but were not correctly identified in 2011. Sixty-five households were not linked with either 2009 or 2011 surveys, thus were not included in the panel. These 140 households are still included in the calculations of 2013 data. The separate weighting is used for 3,586 true panel households for the analyses tracing the trajectories of individual households across time.

Adjusting for inflation

A sustained increase in the general price level is measured by the consumer price index (CPI), based on the cost of a typical basket of consumer goods and services in a particular year. The National Statistics Office of Georgia on the website of the National Bank of Georgia (http://www.nbg.ge/index.php?m=306#monetarystatistics) gives a CPI for the months in which fieldwork was completed: 129.6 for July 2009, 152.1 for August 2011 and 151.1 for August 2013 [2]. For comparing changes between the three pillars, monetary data for 2013 are converted to 2009 prices by dividing by 151.1 and multiplying by 129.6.

Income and expenditure per adult equivalent

As in the 2011 analysis, we use measures of income and expenditure to compare households of different sizes and compositions. Where relevant, some statistics are adjusted to GEL per equivalent adult (PAE), according to methods used by the Georgia Department of Statistics. First, household members are classified by age and gender, and assigned an equivalent adult coefficient (Table 2.4). The sum of these coefficients represents the number of equivalent adults in the household. To correct for economies of scale in larger households, the number of equivalent adults is then raised to the power a, where a=1 for a single person household, and a=0.8 where household size is greater than one.

Table 2.4: The scale used to calculate number of equivalent adults in a household.

Age

Gender

Equivalent Adult Coefficient

<8

 

0.64

>=8 and <16

 

1

>=16 and <65

Male

1

>=16 and <60

Female

0.84

>=65

Male

0.88

>=60

Female

0.76

 

Statistical significance

In sample surveys, we do not have information concerning the whole population. Instead, we make inferences about the population from statistical tests carried out on the sample. p represents the probability that the relationships we observe in the sample only occur by chance (rather than from real effects within the whole population). The smaller the value of p, the greater our confidence that patterns observed in the sample hold true for the larger population. Probabilities of less than 0.05 mean we can be at least 95 per cent confident. This level is conventionally used to indicate statistical significance.

In the tables that follow, the conventions used to represent probability values are:

* means p < 0.05 (95 per cent confidence)

** means p < 0.01 (99 per cent confidence)

*** means p < 0.001 (99.9 per cent confidence)

ns means Not statistically significant (less than 95 per cent confidence)

 

[1] - The 2009 survey included a separate diary to collect consumption information. This was completed by only 4,646 of 4,808 respondents. In 2011, the collection of consumption data was incorporated in the main questionnaire completed by all respondents.

[2] - CPI is indexed to 2005, so 2005 = 100.0.

  • The Well-being of Children and Their Families in Georgia - Georgian Welfare Monitoring Survey, Third Stage 2013
    Date Released: 01 Dec 2014
    Language: English

    This report is based on the third round of the Welfare Monitoring Survey (WMS). WMS is a biennial longitudinal household survey covering all the regions of Georgia that are controlled by the Government. The results for the 2013 round are nationally representative, with 3,726 households having completed the questionnaire. The study examines the prevalence and distribution of issues such as consumption poverty, material deprivation, subjective poverty and social exclusion, and makes particular reference to the role of social transfers and the well-being of children.

  • ბავშვებისა და მათი ოჯახების კეთილდღეობა საქართველოში - საქართველოს მოსახლეობის კეთილდღეობის კვლევა, მესამე ეტაპი, 2013 წელი
    Date Released: 01 Dec 2014
    Language: ქართული

    წინამდებარე ანგარიში ეფუძნება მოსახლეობის კეთილდღეობის კვლევის (Welfare Monitoring Survey (WMS)) მესამე ეტაპს. მოსახლეობის კეთილდღეობის კვლევა არის ოჯახების პანელური გამოკითხვა, რომელიც ყოველ ორ წელიწადში ერთხელ ტარდება და საქართველოს ხელისუფლების მიერ კონტროლირებულ ყველა რეგიონს მოიცავს. 2013 წლის კვლევის ფარგლებში 3726-მა შინამეურნეობამ შეავსო შესაბამისი კითხვარები და მიღებული შედეგები რეპრეზენტატიულია ქვეყნის მასშტაბით. კვლევა შეისწავლის ისეთი სოციალური მოვლენების გავრცელების არეალს, როგორებიცაა სამომხმარებლო სიღარიბე, მატერიალური დეპრივაცია, სუბიექტური სიღარიბე თუ სოციალური გარიყულობა, და განსაკუთრებულ ყურადღებას უთმობს სოციალური ტრანსფერების როლსა და ბავშვთა კეთილდღეობას.

Dates Collected:
20 Jul 2013 - 15 Aug 2013
Date Released:
01 Dec 2014
Total Responses:
13,282
Analyzable Questions:
340
Weighted Data:
Yes
Date Added to Site:
23 Sep 2015
Date Last Updated:
26 Jan 2016

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