III.       Sample Coverage and the Characteristics of Households and Respondents

Sample Coverage

Of the 7190 households selected for the sample, 7035 were found to be occupied, of which 27 actually comprised two households, leading to a total of 7062 occupied households. Of these, 6934 were successfully interviewed yielding a household response rate of 98.2 percent.

In the interviewed households, 6995 women (age 15-49 years) were identified. Of these, 6854 were successfully interviewed, yielding a response rate of 98.0 percent within the interviewed households.  There were 4611 children under age five listed in the household questionnaires. Questionnaires were completed for 4577 of these children, which corresponds to a response rate of 99.3 percent within interviewed households.  Overall response rates of 96.2 and 97.5 percent were achieved for the individual interviews of women and under-5s, respectively.  Household response rates across urban and rural areas were quite similar. In terms of regions, household response rates were over 92 percent in all regions (Table HH.1).

Table HH.1: Results of household, women's and under-5 interviews

Number of households, women and children under 5 by interview results and response rates, Kyrgyzstan, 2014

 

Total

Area

Region

Urban

Rural

Batken

Djalal-Abad

Issyk-Kul

Naryn

Osh Oblast

Talas

Chui

Bishkek City

Osh City

                         

Households

                       

Sampled

7190

2974

4216

813

900

810

809

810

774

813

813

648

Occupied

7062

2879

4183

791

900

788

809

787

774

809

769

635

Interviewed

6934

2812

4122

730

900

780

809

787

774

792

738

624

Household response rate

98.2

97.7

98.5

92.3

100.0

99.0

100.0

100.0

100.0

97.9

96.0

98.3

Women

                       

Eligible

6995

2659

4336

791

965

595

702

991

954

699

655

643

Interviewed

6854

2626

4228

731

958

591

693

961

949

683

653

635

Women's response rate

98.0

98.8

97.5

92.4

99.3

99.3

98.7

97.0

99.5

97.7

99.7

98.8

Women's overall response rate

96.2

96.5

96.1

85.3

99.3

98.3

98.7

97.0

99.5

95.7

95.7

97.0

Children under 5

                       

Eligible

4611

1512

3099

539

632

306

447

741

933

382

276

355

Mothers (or caretakers) interviewed

4577

1503

3074

533

631

306

447

726

932

374

276

352

Under-5s' response rate

99.3

99.4

99.2

98.9

99.8

100.0

100.0

98.0

99.9

97.9

100.0

99.2

Under-5s' overall response rate

97.5

97.1

97.7

91.3

99.8

99.0

100.0

98.0

99.9

95.8

96.0

97.4

Characteristics of Households

The weighted age and sex distribution of the survey population is provided in Table HH.2. The distribution is also used to produce the population pyramid in Figure HH.1. In the 6934 households successfully interviewed in the survey, 29786 household members were listed. Of these, 14597 were males, and 15189 were females.

Table HH.2: Age distribution of household population by sex

Percent and frequency distribution of the household population by five-year age groups, dependency age groups, and by child (age 0-17 years) and adult populations (age 18 or more), by sex, Kyrgyzstan, 2014

 

Total

Males

Females

Number

Percent

Number

Percent

Number

Percent

             

Total

29786

100.0

14597

100.0

15189

100.0

             

Age

           

0-4

4233

14.2

2167

14.8

2066

13.6

5-9

3288

11.0

1703

11.7

1585

10.4

10-14

2648

8.9

1335

9.1

1313

8.6

15-19

2407

8.1

1231

8.4

1176

7.7

20-24

2315

7.8

1090

7.5

1225

8.1

25-29

2319

7.8

1174

8.0

1145

7.5

30-34

1872

6.3

934

6.4

937

6.2

35-39

1729

5.8

875

6.0

854

5.6

40-44

1598

5.4

790

5.4

809

5.3

45-49

1452

4.9

709

4.9

742

4.9

50-54

1775

6.0

791

5.4

984

6.5

55-59

1419

4.8

648

4.4

772

5.1

60-64

998

3.4

425

2.9

574

3.8

65-69

580

1.9

242

1.7

338

2.2

70-74

412

1.4

178

1.2

234

1.5

75-79

392

1.3

169

1.2

224

1.5

80-84

203

0.7

83

0.6

120

0.8

85+

142

0.5

53

0.4

89

0.6

Missing/DK

3

0.0

0

0.0

3

0.0

Dependency age groups

           

0-14

10169

34.1

5205

35.7

4964

32.7

15-64

17885

60.0

8667

59.4

9218

60.7

65+

1729

5.8

725

5.0

1004

6.6

Missing/DK

3

0.0

0

0.0

3

0.0

Children  and adult populations

           

Children age 0-17 years

11659

39.1

5998

41.1

5660

37.3

Adults age 18+ years

18124

60.8

8598

58.9

9526

62.7

Missing/DK

3

0.0

0

0.0

3

0.0

According to the survey data, the proportion of males in the total population was 49.0 percent, the proportion of women was 51.0 percent. According to the National Statistics Committee( NSC) data, as of 1 January 2014, the shares of men and women in the total resident population was respectively 49.5 percent and 50.5 percent.

According to the survey data the proportion of children age 0-14 years in the overall population is 34.1 percent; the proportion of the population age 65+ is 5.8 percent. Children up to 18 years of age constitute 39.1 percent of the population. The largest two 5-year groups are the 0-4 and 5-9 year age-groups (14.2 and 11.0 percent respectively). The male-female ratio shows some variations and after 60 years of life the number of women exceeds that of men (Table HH.2 and Figure HH.1).

Figure HH.1: Age and sex distribution of household population, Kyrgyzstan, 2014

Tables HH.3, HH.4 and HH.5 provide basic information on the households, female respondents age 15-49, and children under-5. Both unweighted and weighted numbers are presented. Such information is essential for the interpretation of findings presented later in the report and provide background information on the representativeness of the survey sample. The remaining tables in this report are presented only with weighted numbers.[1]

Table HH.3 provides basic background information on the households, including the sex of the household head, region, area, number of household members, education of household head, and native language[2] of the household head are shown in the table. These background characteristics are used in subsequent tables in this report; the figures in the table are also intended to show the numbers of observations by major categories of analysis in the report.

Table HH.3: Household composition

Percent and frequency distribution of households by selected characteristics, Kyrgyzstan, 2014

 

Weighted percent

Number of households

Weighted

Unweighted

       

Total

100.0

6934

6934

Sex of household head

     

Male

72.1

5002

5086

Female

27.9

1932

1848

Region

     

Batken

7.3

508

730

Djalal-Abad

17.8

1235

900

Issyk-Kul

9.1

628

780

Naryn

4.7

323

809

Osh Oblast

14.8

1028

787

Talas

3.9

270

774

Chui

20.1

1393

792

Bishkek City

17.8

1237

738

Osh City

4.5

312

624

Area

     

Urban

39.5

2739

2812

Rural

60.5

4195

4122

Number of household members

     

1

8.5

586

497

2

15.4

1067

938

3

14.4

1002

983

4

17.3

1200

1220

5

16.9

1174

1231

6

13.0

901

990

7

7.7

536

590

8

3.5

242

261

9

1.3

91

94

10+

1.9

134

130

Education of household head

     

None

1.2

82

76

Primary

2.9

200

187

Basic secondary

10.6

737

701

Complete secondary

39.7

2751

2919

Professional primary

7.1

493

545

Professional middle

15.5

1078

995

Higher

22.9

1591

1509

Missing/DK

0.0

2

2

Mother tongue of household head

     

Kyrgyz

69.1

4792

5141

Russian

14.5

1006

678

Uzbek

12.2

844

901

Other language

4.2

290

211

Missing/DK

0.0

2

3

Mean household size

4.3

6934

6934

The weighted and unweighted total number of households are equal, since sample weights were normalized. The table also shows the weighted mean household size estimated by the survey.

In terms of the gender structure for heads of households in Kyrgyzstan, 27.9 percent of heads of household are female. Men headed almost three out of four households (72.1percent). Of the total number of households, nearly 39.5 percent lived in urban settlements and 60.5 percent in rural areas. At the time of survey, the average household size was 4.3 people. However, about a quarter of households (23.9percent) consisted of one or two persons, 61.7 percent of households had 3-6 persons and households consisting of 7 or more persons amounted to 14.5 percent.

The majority of households (69.1percent) are headed by persons who indicated Kyrgyz as their mother tongue, Uzbek was indicated in 12.2 percent of cases, Russian 14.5 percent, languages of other nationalities - 4.2 percent.

Characteristics of Female Respondents 15-49 Years of Age and Children Under-5

Tables HH.4 and HH.5 provide information on the background characteristics of female respondents 15-49 years of age and of children under age 5. In these tables, the total numbers of weighted and unweighted observations are equal, since sample weights have been normalized (standardized).  In addition to providing useful information on the background characteristics of women and children under age five, the tables are also intended to show the numbers of observations in each background category. These categories are used in the subsequent tabulations of this report.

Table HH.4: Women's background characteristics

Percent and frequency distribution of women age 15-49 years by selected background characteristics, Kyrgyzstan, 2014

 

Weighted percent

Number of women

Weighted

Unweighted

       

Total

100.0

6854

6854

       

Region

     

Batken

7.9

543

731

Djalal-Abad

19.5

1336

958

Issyk-Kul

6.8

469

591

Naryn

4.1

282

693

Osh

18.6

1277

961

Talas

4.9

333

949

Chui

17.7

1216

683

Bishkek City

15.6

1072

653

Osh City

4.8

326

635

Area

     

Urban

35.4

2424

2626

Rural

64.6

4430

4228

Age

     

   15-19

17.1

1169

1162

   20-24

17.7

1214

1155

   25-29

16.7

1145

1175

   30-34

13.6

935

979

   35-39

12.5

854

853

   40-44

11.7

804

785

   45-49

10.7

733

745

Marital/Union status

     

Currently married/in union

69.3

4750

4889

Widowed

2.1

143

156

Divorced

6.3

428

387

Separated

0.5

35

23

Never married/in union

21.9

1498

1399

Motherhood and recent births

     

Never gave birth

28.3

1936

1806

Ever gave birth

71.7

4918

5048

Gave birth in last two years

24.4

1675

1766

No birth in last two years

47.3

3242

3282

Education

     

None/Primary

0.8

58

40

Basic secondary

13.7

941

901

Complete secondary

41.0

2813

2917

Professional primary/middle

18.4

1258

1289

Higher

26.0

1784

1707

Wealth index quintile

     

Poorest

18.2

1245

1494

Second

18.8

1292

1309

Middle

19.3

1320

1335

Fourth

20.8

1424

1391

Richest

23.0

1574

1325

Mother tongue of household head

     

Kyrgyz

71.4

4891

5159

Russian

8.5

582

374

Uzbek

15.7

1074

1096

Other language

4.4

305

222

Missing

0.0

2

3

Table HH.4 provides background characteristics of female respondents, age 15-49 years. The table includes information on the distribution of women according to region, area, age, marital/union status, motherhood status, births in last two years, education[3], wealth index quintiles[4],[5],  and mother tongue of the household head.

The proportion of older women is lower, with 11 percent in the 45-49 years age group. Of the total number of women age 15-49 years, 64.6 percent lived in urban areas and 35.4 percent in rural areas. At the time of survey, 69.3 percent of women in this age group were married or in union, 8.9 percent were widowed, divorced or separated, and 21.9 percent were never married or in union. Accordingly, a decrease in the share of women never married or in union is observed; from 32.5 percent in 2009 according to the 2009 Census to 27.0 percent (2012 DHS) and 21.9 percent in the 2014 MICS.

By motherhood status, 71.7 percent of women had ever given birth, and 24.4 percent of women gave birth in the two years preceding the survey.

By educational attainment, nearly 99 percent of women have at least basic secondary education with the following distribution: nearly 13.7 percent have basic secondary education, 41.0 percent have completed secondary education, 17.4 percent have professional primary/middle education and 26.0 percent completed higher education. The educational level of women has increased significantly. The proportion of women with higher education has increased from 17.6 percent, according to the 2009 Census data, to 26 percent in 2014 Kyrgyzstan MICS. Similarly, there was an increase in the proportion of women with professional education (12.0 and 18.4 percent, respectively) and the proportion of women with basic secondary education (from 10.9 percent to 13.7 percent). As far as wealth index quintiles are concerned, fewer women live in households within the poorest quintile —18.2 percent — while 23.0 percent of women live in the households within the richest wealth quintile.

Background characteristics of children under 5 are presented in Table HH.5. These include the distribution of children by several attributes: sex, region and area, age in months, respondent type, mother’s (or caretaker’s) education, wealth, and mother tongue.

Table HH.5: Under-5s’ background characteristics

Percent and frequency distribution of children under five years of age by selected characteristics, Kyrgyzstan, 2014

 

Weighted percent

Number of under-5 children

Weighted

Unweighted

       

Total

100.0

4577

4577

       

Sex

     

Male

51.2

2342

2348

Female

48.8

2235

2229

Region

     

Batken

8.9

408

533

Djalal-Abad

20.9

956

631

Issyk-Kul

5.8

264

306

Naryn

4.3

195

447

Osh

22.2

1015

726

Talas

7.7

352

932

Chui

15.6

715

374

Bishkek City

10.4

474

276

Osh City

4.3

198

352

Area

     

Urban

29.7

1360

1503

Rural

70.3

3217

3074

Age

     

0-5 months

9.9

455

432

6-11 months

11.7

534

522

12-23 months

19.2

880

880

24-35 months

20.5

939

927

36-47 months

20.2

925

944

48-59 months

18.5

845

872

Respondent to the under-5 questionnaire

   

Mother

90.8

4154

4172

Other primary caretaker

9.2

423

405

Mother’s education

     

None/Primary

1.3

58

34

Basic secondary

11.6

529

459

Complete secondary

45.9

2102

2129

Professional primary/middle

16.0

732

783

Higher

25.2

1155

1172

Wealth index quintile

     

Poorest

21.5

986

1115

Second

22.7

1039

1011

Middle

20.8

951

970

Fourth

18.0

823

832

Richest

17.0

778

649

Mother tongue of household head

     

Kyrgyz

77.2

3534

3656

Russian

3.9

180

122

Uzbek

14.3

656

656

Other language

4.5

205

140

Missing

0.0

2

3

 

4,577 children under 5 were surveyed of which 51.2 percent boys, and 48.8 percent girls. Nearly 29.6 percent of children live in urban and 70.3 percent live in rural areas. 

The percentage distribution of children under 5 by age group is as follows: under 12 months – 21.6 percent, 12-23 months – 19.2 percent, 24-35 months – 20.5 percent, 36-47 months – 20.2 percent and 48-59 months – 18.5 percent.  The distribution corresponds closely to the vital registration statistics (as of January 2014) which gives the following figures: under 12 months – 21.1 percent, 12-23 months – 20.9 percent, 24-35 months – 20.2 percent, 36-47 months – 19.7 percent and 48-59 months – 18.1 percent.  

Among respondents to the questionnaire for children under 5 91 percent were mothers and the remaining 9 percent were the primary caretakers. About 41.2 percent of mothers (or caretakers had professional or higher education, 45.9 percent had completed secondary education and nearly 11.6 percent have basic secondary education.

The smallest percentage of children (17.0 percent) live in the richest quintile and the largest (21.5 and 22.7 percent, respectively) in the two bottom wealth quintiles. More than 90 percent of children live in households where the mother tongue of the household head is Kyrgyz (77.2 percent) or Uzbek (14.3 percent).  

Housing characteristics, asset ownership, and wealth quintiles

Tables HH.6, HH.7 and HH.8 provide further details on household level characteristics. HH.6 presents characteristics of housing, disaggregated by area and region, distributed by whether the dwelling has electricity, the main materials of the flooring, roof, and exterior walls, as well as the number of rooms used for sleeping.

The vast majority (99.8 percent) of the population live in households with electricity; there are minor differences in access to electricity between urban (99.9 percent) and rural (99.7 percent) areas. The figure is somewhat lower in the Naryn oblast where 97.0 percent of the population have electricity at home.  An increase in nationwide coverage by 1.4 percent is observed since 2009, if compared with 2009 Census data.

The vast majority of households have a finished floor (97.4 percent), finished roofing (97.8 percent).  Nearly 61.8 percent have finished exterior walls with notable variation between urban and rural areas (78.8 and 50.6 percent respectively) and across oblasts. The mean number of persons per room used for sleeping is 2.2 with a minor difference between urban and rural areas, and regions.


Table HH.6: Housing characteristics

Percent distribution of households by selected housing characteristics, according to area of residence and regions, Kyrgyzstan, 2014

 

Total

Area

 

Region

Urban

Rural

 

Batken

Djalal-Abad

Issyk-Kul

Naryn

Osh

Talas

Chui

Bishkek City

Osh City

Electricity

                         

Yes

99.8

99.9

99.7

 

99.7

100.0

100.0

97.0

99.8

100.0

99.9

100.0

99.9

No

0.2

0.0

0.3

 

0.3

0.0

0.0

3.0

0.2

0.0

0.0

0.0

0.1

Missing/DK

0.0

0.1

0.0

 

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

0.0

Flooring

                         

Natural floor

1.5

0.3

2.3

 

5.5

4.8

0.0

0.9

0.7

0.1

0.0

0.1

1.7

Rudimentary floor

0.6

0.6

0.5

 

0.3

1.1

0.5

0.2

0.0

2.7

0.3

0.2

1.7

Finished floor

97.4

98.9

96.4

 

91.0

93.6

99.5

98.8

99.3

96.8

98.7

99.6

96.2

Other

0.6

0.2

0.8

 

3.2

0.5

0.0

0.0

0.0

0.4

1.0

0.0

0.4

Missing/DK

0.0

0.1

0.0

 

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.1

0.0

Roof

                         

Natural roofing

0.1

0.0

0.3

 

0.0

0.0

0.0

0.0

0.0

0.0

0.7

0.0

0.0

Rudimentary roofing

1.5

1.8

1.1

 

7.4

4.6

0.7

6.8

0.0

1.0

0.0

0.0

0.0

Finished roofing

97.8

97.7

98.0

 

92.6

95.4

98.5

93.2

100.0

97.9

96.6

100.0

99.2

Other

0.5

0.4

0.7

 

0.0

0.0

0.0

0.0

0.0

0.0

2.7

0.0

0.8

Missing/DK

0.1

0.1

0.0

 

0.0

0.0

0.8

0.0

0.0

1.2

0.0

0.0

0.0

Exterior walls

                         

Natural walls

8.2

3.2

11.4

 

64.7

0.4

0.3

58.5

0.2

15.0

0.0

0.0

0.3

Rudimentary walls

29.2

17.5

36.9

 

6.9

44.6

66.9

9.3

37.4

50.2

15.2

17.8

12.6

Finished walls

61.8

78.8

50.6

 

28.4

53.3

32.7

32.1

62.3

34.7

82.6

82.2

86.9

Other

0.8

0.4

1.0

 

0.0

1.8

0.0

0.0

0.0

0.1

2.3

0.0

0.0

Missing/DK

0.0

0.0

0.0

 

0.0

0.0

0.1

0.0

0.1

0.0

0.0

0.0

0.2

Rooms used for sleeping

                         

1

27.1

43.1

16.7

 

18.7

20.3

26.9

31.3

4.4

16.7

34.1

50.7

22.5

2

43.1

38.3

46.3

 

55.8

49.8

51.1

52.4

37.8

51.3

37.3

33.3

45.8

3 or more

28.5

17.2

35.8

 

25.1

28.9

16.8

16.0

56.7

30.6

27.9

14.7

30.8

Missing/DK

1.3

1.4

1.2

 

0.4

0.9

5.2

0.3

1.1

1.4

0.7

1.3

0.9

                           

Total

100.0

100.0

100.0

 

100.0

100.0

100.0

100.0

100.0

100.0

100.0

100.0

100.0

                           

Number of households

6934

2739

4195

 

508

1235

628

323

1028

270

1393

1237

312

Mean number of persons per room used for sleeping

2.2

2.1

2.2

 

2.4

2.3

1.9

2.6

2.1

2.8

2.0

2.0

2.0



[1] See Appendix A on sample design for more details on sample weights.

[2] This was determined by asking question HC1 on the mother tongue of the household head.

[3] Throughout this report, unless otherwise stated, “education” refers to highest educational level ever attended by the respondent when it is used as a background variable.

[4] The wealth index is a composite indicator of wealth. To construct the wealth index, principal components analysis is performed by using information on the ownership of consumer goods, dwelling characteristics, water and sanitation, and other characteristics that are related to the household’s wealth, to generate weights (factor scores) for each of the items used. First, initial factor scores are calculated for the total sample. Then, separate factor scores are calculated for households in urban and rural areas. Finally, the urban and rural factor scores are regressed on the initial factor scores to obtain the combined, final factor scores for the total sample. This is carried out to minimize the urban bias in the wealth index values.

Each household in the total sample is then assigned a wealth score based on the assets owned by that household and on the final factor scores obtained as described above. The survey household population is then ranked according to the wealth score of the household they are living in, and is finally divided into 5 equal parts (quintiles) from lowest (poorest) to highest (richest).

In Kyrgyzstan MICS, the following assets were used in these calculations: television, non-mobile phone, refrigerator, laptop/planchet, table, armchair, sofa, bed, cupboard, fan, water heater, washing machine, air conditioner, camera, microwave, watch, car, tractor or other machine for household.

The wealth index is assumed to capture the underlying long-term wealth through information on the household assets, and is intended to produce a ranking of households by wealth, from poorest to richest. The wealth index does not provide information on absolute poverty, current income or expenditure levels. The wealth scores calculated are applicable for only the particular data set they are based on.

Further information on the construction of the wealth index can be found in Filmer, D and Pritchett, L. 2001. Estimating wealth effects without expenditure data – or tears: An application to educational enrolments in states of India. Demography 38(1): 115-132; Rutstein, SO and Johnson, K. 2004. The DHS Wealth Index. DHS Comparative Reports No. 6; and Rutstein, SO. 2008. The DHS Wealth Index: Approaches for Rural and Urban Areas. DHS Working Papers No. 60.

[5]When describing survey results by wealth quintiles, appropriate terminology is used when referring to individual household members, such as for instance “women in the richest population quintile”, which is used interchangeably with “women in the wealthiest survey population”, “women living in households in the richest population wealth quintile”, and similar.

In Table HH.7 households are distributed according to ownership of assets by households and by individual household members. This also includes ownership of dwelling.

The majority of households, both in urban and in rural areas, have a TV (98.9 percent), refrigerator (84.8 percent), table (91.8 percent), bed (80.6 percent), cupboard (94.7 percent), sofa (67.0 percent) and armchairs (60.1 percent). Less than one third of households have a landline phone (27.0 percent), computer or laptop (28.7 percent), washing machine (28.9 percent), microwave (21.9 percent) - the ownership of these household assets is notably different between urban and rural areas.

A much larger percentage of households own agricultural land (82.4 percent) and farm animals/livestock (70.9 percent) in rural areas than in urban areas (30.2 percent and 14.2 percent respectively). Around half (48.7 percent) of households own a car with a minor difference between urban and rural areas. Cell phones are the most common item to be owned by at least one member of a household at 98.0 percent while just less than 2 percent of households have a bank account.Regarding ownership of dwelling, 91.3 percent of the dwellings were owned by one of the household members.


Table HH.7: Household and personal assets

Percentage of households by ownership of selected household and personal assets, and percent distribution by ownership of dwelling, according to area of residence and regions, Kyrgyzstan, 2014

 

Total

Area

 

Region

Urban

Rural

 

Batken

Djalal-Abad

Issyk-Kul

Naryn

Osh

Talas

Chui

Bishkek City

Osh City

                           

Percentage of households that own a

                         

Radio

30.0

28.9

30.8

 

28.1

22.4

31.4

37.8

35.7

28.4

29.0

35.4

18.6

Television

98.9

99.1

98.9

 

99.0

99.5

99.7

96.1

98.6

100.0

98.5

99.5

97.9

Non-mobile telephone

27.0

51.1

11.2

 

6.2

8.3

34.2

13.9

2.9

12.2

33.5

63.4

51.8

Refrigerator

84.8

91.5

80.4

 

72.1

74.4

85.4

69.0

88.2

74.2

91.7

94.0

91.8

Computer/Laptop/Tablet

28.7

44.2

18.6

 

20.7

14.2

16.2

11.5

15.8

18.8

38.8

55.9

41.1

Table

91.8

95.4

89.5

 

69.5

79.6

98.3

92.8

97.7

98.1

96.4

98.2

91.7

Armchair

60.1

65.4

56.7

 

37.6

55.3

66.8

39.6

57.7

66.2

70.9

65.6

56.0

Sofa

67.0

71.5

64.1

 

50.0

63.3

72.8

62.6

68.8

70.2

68.1

75.2

55.4

Bed

80.6

79.0

81.7

 

63.4

72.8

76.4

79.2

90.2

78.8

87.5

85.1

70.5

Cupboard

94.7

95.2

94.4

 

85.3

93.0

98.5

93.8

98.2

91.6

94.6

96.8

93.7

Fan

30.5

35.8

27.1

 

28.1

31.3

1.6

3.7

30.4

19.6

41.5

39.7

42.2

Water Heater

19.2

31.7

11.1

 

8.0

14.3

20.6

9.3

1.6

13.9

34.0

23.1

45.7

Three phase electricty

8.8

8.4

9.1

 

1.7

0.8

6.2

13.7

0.2

21.8

23.0

9.3

4.2

Washing machine

28.9

49.9

15.1

 

5.3

15.6

28.4

8.1

0.8

12.1

45.2

63.9

36.8

Air conditioning

4.7

7.0

3.1

 

1.3

2.5

0.4

0.4

4.1

1.5

7.8

8.9

5.4

Camera

18.2

23.9

14.5

 

15.6

13.8

9.8

6.8

15.6

12.3

24.9

25.4

24.4

Microwave

21.9

31.9

15.5

 

10.4

10.8

19.9

4.5

14.5

16.1

33.6

38.2

20.0

Bath in the house

26.0

56.6

6.0

 

11.6

18.8

11.0

8.6

0.6

7.3

31.3

65.8

44.6

Toilet in the house

24.8

54.9

5.0

 

11.4

18.4

12.2

8.7

0.3

5.3

28.2

62.4

45.8

Percentage of households that own

                         

Agricultural land

61.8

30.2

82.4

 

82.5

67.8

82.5

74.4

83.5

79.8

58.4

27.5

12.9

Farm animals/Livestock

48.5

14.2

70.9

 

66.5

61.9

56.1

72.0

74.1

64.5

44.9

5.0

17.7

Percentage of households where at least one member owns or has a

                         

Watch

38.3

45.2

33.8

 

27.4

26.7

29.0

33.7

50.1

30.3

33.2

61.6

24.0

Mobile telephone

98.0

97.6

98.2

 

98.7

97.7

99.1

97.7

99.3

99.3

97.1

96.8

98.7

Bicycle

24.1

13.8

30.8

 

31.7

24.5

17.4

13.3

44.8

33.9

26.9

7.5

11.9

Motorcycle or scooter

1.2

0.6

1.6

 

3.6

0.2

1.0

0.4

1.7

1.1

2.0

0.3

0.7

Animal-drawn cart

7.8

0.4

12.7

 

5.7

4.4

11.0

16.9

23.8

12.4

3.8

0.2

0.3

Car

48.7

44.3

51.6

 

53.6

47.2

46.8

40.9

62.4

52.1

45.3

42.6

50.7

Boat with a motor

0.0

0.0

0.0

 

0.0

0.0

0.0

0.1

0.0

0.0

0.0

0.0

0.0

Tractor or other machine for household

3.9

1.0

5.8

 

4.4

2.6

4.1

9.6

5.8

10.2

4.6

0.3

1.4

Bank account

1.9

2.6

1.5

 

1.4

0.8

1.0

3.3

0.7

0.8

3.0

3.0

3.4

Ownership of dwelling

                         

Owned by a household member

91.3

83.8

96.2

 

94.6

95.4

93.4

93.7

99.8

93.3

89.0

81.2

83.2

Not owned

8.7

16.2

3.8

 

5.4

4.6

6.4

6.3

0.2

6.7

11.0

18.8

16.8

Rented

8.5

15.8

3.8

 

5.4

4.5

6.4

6.2

0.2

6.7

11.0

18.3

15.4

Other

0.2

0.4

0.0

 

0.0

0.1

0.0

0.1

0.0

0.0

0.0

0.5

1.4

Missing/DK

0.0

0.0

0.0

 

0.0

0.0

0.3

0.0

0.0

0.0

0.0

0.0

0.0

                           

Total

100.0

100.0

100.0

 

100.0

100.0

100.0

100.0

100.0

100.0

100.0

100.0

100.0

                           

Number of households

6934

2739

4195

 

508

1235

628

323

1028

270

1393

1237

312


Table HH.8 shows how the household populations in areas and regions are distributed according to household wealth quintiles. There are notable differences in the distribution of population by wealth index across regions and by urban and rural areas. Nearly 27.1 percent of the rural population belong to the poorest quintile compared to 4.5 percent from urban areas. The proportion of the population living in the poorest wealth quintile is highest in Batken (51.5 percent) oblast and lowest in Bishkek city (less than one percent). These findings appear to be in line with NSC data on poverty in the country. 

Table HH.8: Wealth quintiles

Percent distribution of the household population by wealth index quintile, according to area of residence and regions, Kyrgyzstan, 2014

 

Wealth index quintile

Total

Number of household members

Poorest

Second

Middle

Fourth

Richest

               

Total

20.0

20.0

20.0

20.0

20.0

100.0

29786

               

Area

             

Urban

4.5

3.8

10.5

27.6

53.5

100.0

9393

Rural

27.1

27.5

24.4

16.5

4.5

100.0

20393

Region

             

Batken

51.5

20.5

14.0

6.3

7.7

100.0

2432

Djalal-Abad

26.9

27.4

23.3

9.3

13.0

100.0

5883

Issyk-Kul

19.6

23.9

22.1

23.4

11.0

100.0

2245

Naryn

49.8

22.5

11.2

9.9

6.7

100.0

1411

Osh Oblast

23.7

34.8

25.6

15.6

0.3

100.0

5900

Talas

18.5

25.0

29.6

22.1

4.8

100.0

1519

Chui

3.3

8.1

23.1

38.5

27.0

100.0

5312

Bishkek City

0.2

1.5

5.1

23.8

69.5

100.0

3812

Osh City

9.0

5.3

17.0

30.5

38.2

100.0

1273