So far, 3047 surveys have been completed. There are 1438 surveys to go!
Oblast | Oct 09 | Sep 16 | Sep 17 | Sep 18 | Sep 19 | Sep 20 | Sep 21 | Sep 22 | Sep 23 | Sep 29 | Total This Week | Total to Date | Female | Under35 | 35to50 | Over50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Batken | 1 | 14 | 29 | 11 | 18 | 5 | 33 | 22 | 1 | 0 | 134 | 913 | 50% | 25% | 37% | 38% |
Jalal-Abad | 0 | 11 | 0 | 11 | 19 | 18 | 32 | 14 | 0 | 0 | 105 | 817 | 49% | 25% | 30% | 45% |
Osh | 0 | 0 | 4 | 45 | 3 | 18 | 43 | 18 | 0 | 1 | 132 | 1317 | 50% | 29% | 31% | 40% |
Update on village-level completion:
Oblast | AA | Village | Baseline | Endline | Duplicated ID | Gender Matches Baseline | Note |
---|---|---|---|---|---|---|---|
Баткен | A.Masaliev | Kara-Dobo | 32 | 37 | 10 | No | Too many surveys in this village AND gender balance incorrect AND duplicate IDs. Please check. |
Баткен | Ak-Turpak | Chogorok | 10 | 10 | 0 | Yes | Data collection complete |
Баткен | Ak-Turpak | Tokoy | 9 | 9 | 0 | Yes | Data collection complete |
Баткен | Birlik | Bel | 20 | 20 | 0 | Yes | Data collection complete |
Баткен | Birlik | Jal | 26 | 26 | 0 | Yes | Data collection complete |
Баткен | Kadamjai-city | Pulgon | 55 | 61 | 11 | No | Too many surveys in this village AND gender balance incorrect AND duplicate IDs. Please check. |
Баткен | Kara-Bulak | Kara-Bulak | 72 | 75 | 8 | No | Too many surveys in this village AND gender balance incorrect AND duplicate IDs. Please check. |
Баткен | Leylek | Kara-Suu | 29 | 31 | 0 | No | Too many surveys in this village AND gender balance incorrect. Please check. |
Баткен | Moldo Niyaz | Shybran | 8 | 10 | 0 | Yes | Too many surveys in this village. Please check. |
Баткен | Tort-Gul | Ak-Otok | 10 | 10 | 0 | Yes | Data collection complete |
Баткен | Tort-Gul | Ak-Turpak | 24 | 24 | 0 | No | Data collection complete but gender balance incorrect |
Жалал-Абад | Akman | Tash-Bulak | 12 | 12 | 2 | Yes | Data collection complete but duplicate IDs. Please check. |
Жалал-Абад | D. Sadyrbaev | Apyrtan | 40 | 41 | 2 | Yes | Too many surveys in this village AND duplicate IDs. Please check. |
Жалал-Абад | D. Sadyrbaev | Kyzyl-Tuu | 39 | 40 | 4 | Yes | Too many surveys in this village AND duplicate IDs. Please check. |
Жалал-Абад | Kenesh | Kara-Jygach | 33 | 34 | 0 | Yes | Too many surveys in this village. Please check. |
Жалал-Абад | Kyzyl-Tuu | Jashasyn-2 | 17 | 17 | 0 | No | Data collection complete but gender balance incorrect |
Жалал-Абад | Taygaraev-Municipal-Territorial-Governance | S.Jeenbekov | 21 | 21 | 0 | No | Data collection complete but gender balance incorrect |
Ош | Kenesh | Ak-Terek | 10 | 32 | 0 | No | Too many surveys in this village AND gender balance incorrect. Please check. |
Ош | Kenesh | Ak-Terek | 10 | 10 | 2 | No | Data collection complete but gender balance incorrect AND duplicate IDs. Please check. |
Ош | Kok Zhar | Naray | 34 | 35 | 2 | No | Too many surveys in this village AND gender balance incorrect AND duplicate IDs. Please check. |
Ош | Kyzyl-Oktyabr | Unkur | 14 | 16 | 1 | No | Too many surveys in this village AND gender balance incorrect AND duplicate IDs. Please check. |
Ош | Osh city | Ak-Buura-4 | 10 | 10 | 2 | Yes | Data collection complete but duplicate IDs. Please check. |
Ош | Papan | Karagur | 11 | 11 | 0 | Yes | Data collection complete |
Ош | Papan | Papan | 17 | 19 | 0 | No | Too many surveys in this village AND gender balance incorrect. Please check. |
Ош | Savay | Kechken-Zhar | 12 | 12 | 0 | No | Data collection complete but gender balance incorrect |
Ош | Yntymak | Ak-Terek | 20 | 21 | 10 | No | Too many surveys in this village AND gender balance incorrect AND duplicate IDs. Please check. |
Ош | Yntymak | Chaichi | 36 | 36 | 3 | Yes | Data collection complete but duplicate IDs. Please check. |
Please refer to file uniqueID_issues_20240923.csv for the complete list of surveys with Unique ID errors.
So far, the overall recontact rate for households is 68%, and the recontact rate for individuals is 59%.
sex_baseline_name | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 |
---|---|---|---|---|---|---|---|---|---|---|
Female | 69% | 69% | 68% | 64% | 76% | 63% | 62% | 56% | 52% | 60% |
Male | 71% | 70% | 62% | 66% | 69% | 63% | 60% | 54% | 56% | 56% |
Total | 70% | 70% | 65% | 65% | 72% | 63% | 61% | 55% | 54% | 58% |
Oblast | Recontact Rate (HH) | Recontact Rate (Resp) | Replaced Wrong Gender | Replaced Too Young |
---|---|---|---|---|
Batken | 65% | 55% | 17 | 0 |
Jalal-Abad | 47% | 35% | 40 | 0 |
Osh | 84% | 76% | 19 | 0 |
Total | 68% | 59% | 76 | 0 |
The following enumerators replaced the baseline respondent with someone of the incorrect gender.
ono | fi | Week 2 | Week 4 | Week 3 | Week 5 | Week 1 |
---|---|---|---|---|---|---|
Batken | Busadat_S | 0 | 2 | 3 | 2 | 0 |
Batken | Gulmira_Is | 0 | 2 | 0 | 0 | 0 |
Jalal-Abad | Aisha_M | 0 | 2 | 0 | 0 | 3 |
Batken | Baktybek_M | 0 | 1 | 0 | 0 | 0 |
Batken | Gulmira_D | 0 | 1 | 0 | 0 | 0 |
Batken | Omurbek_A | 0 | 1 | 0 | 0 | 1 |
Jalal-Abad | Aibolot_K | 2 | 1 | 2 | 0 | 2 |
Jalal-Abad | Dinara_R | 0 | 1 | 0 | 0 | 0 |
Jalal-Abad | Malika_A | 0 | 1 | 1 | 0 | 0 |
Osh | Ainagul_A | 0 | 1 | 0 | 0 | 0 |
Osh | Indira_K | 0 | 1 | 0 | 1 | 1 |
Batken | Altynai_B | 2 | 0 | 0 | 0 | 0 |
Batken | Minavar_T | 0 | 0 | 1 | 0 | 0 |
Batken | Zhiidegul_M | 1 | 0 | 0 | 0 | 0 |
Jalal-Abad | Baiel_A | 3 | 0 | 1 | 0 | 3 |
Jalal-Abad | Beksultan_J | 0 | 0 | 3 | 0 | 3 |
Jalal-Abad | Erlan_M | 0 | 0 | 0 | 0 | 3 |
Jalal-Abad | Kadyrali_J | 0 | 0 | 1 | 0 | 3 |
Jalal-Abad | Nursultan_T | 1 | 0 | 1 | 0 | 2 |
Jalal-Abad | Осмонова Венера | 0 | 0 | 0 | 1 | 0 |
Osh | Aizhana_A | 0 | 0 | 0 | 0 | 2 |
Osh | Elmira_B | 0 | 0 | 1 | 0 | 2 |
Osh | Kunduz_K | 0 | 0 | 0 | 0 | 1 |
Osh | Nazgul_P | 2 | 0 | 0 | 0 | 1 |
Osh | Tattybubu_M | 0 | 0 | 0 | 1 | 0 |
Osh | Tynychbek_A | 1 | 0 | 1 | 0 | 0 |
Osh | Карабаев | 1 | 0 | 0 | 0 | 1 |
Osh | Сайфудинов Алихан | 0 | 0 | 0 | 0 | 1 |
Oblast | Enumerator | Surveys | Recontact Rate (HH) | Recontact Rate (Resp) | Bad Replacement |
---|---|---|---|---|---|
Jalal-Abad | Marsel_J | 5 | 0% | 0% | 0 |
Batken | Busadat_S | 80 | 11% | 10% | 7 |
Jalal-Abad | Malika_A | 43 | 19% | 16% | 2 |
Jalal-Abad | Kadyrali_J | 99 | 37% | 18% | 4 |
Jalal-Abad | Aisha_M | 91 | 25% | 19% | 5 |
Batken | Turgunai_S | 55 | 25% | 25% | 0 |
Jalal-Abad | Nursultan_T | 56 | 39% | 29% | 4 |
Jalal-Abad | Aibolot_K | 77 | 39% | 31% | 7 |
Jalal-Abad | Baiel_A | 101 | 36% | 31% | 7 |
Jalal-Abad | Erlan_M | 46 | 39% | 33% | 3 |
Batken | Baktybek_M | 53 | 57% | 38% | 1 |
Osh | Kunduz_K | 97 | 55% | 44% | 1 |
Jalal-Abad | Beksultan_J | 115 | 69% | 47% | 6 |
Section | Median | 25th % | 75th % | Median | 25th % | 75th % |
---|---|---|---|---|---|---|
time_sec_a | 0.2 | 0.2 | 0.5 | 0.2 | 0.2 | 0.6 |
time_sec_b | 5.0 | 3.5 | 7.4 | 5.2 | 3.5 | 9.0 |
time_sec_c | 1.0 | 0.7 | 1.4 | 0.9 | 0.6 | 1.3 |
time_sec_conjoint | 0.6 | 0.3 | 1.1 | 0.5 | 0.3 | 1.2 |
time_sec_d | 10.1 | 6.8 | 14.8 | 9.9 | 6.1 | 15.2 |
time_sec_d1_d26 | 3.5 | 2.4 | 5.2 | 3.3 | 2.0 | 5.4 |
time_sec_d30_d60 | 4.8 | 3.2 | 7.0 | 4.0 | 2.6 | 6.4 |
time_sec_d61_d74 | 0.9 | 0.2 | 2.0 | 0.7 | 0.3 | 1.7 |
time_sec_e | 9.8 | 6.9 | 14.2 | 9.6 | 6.3 | 14.5 |
time_sec_f | 3.1 | 2.2 | 4.5 | 2.5 | 1.9 | 4.0 |
time_sec_g | 4.0 | 2.8 | 6.2 | 3.1 | 2.3 | 5.0 |
time_sec_g1_g14 | 1.9 | 1.3 | 3.0 | 1.4 | 1.0 | 2.4 |
time_sec_g15_g31 | 2.0 | 1.4 | 3.0 | 1.5 | 1.1 | 2.5 |
time_sec_h | 3.1 | 2.2 | 4.6 | 2.6 | 1.9 | 4.3 |
time_sec_h1_h9 | 0.9 | 0.6 | 1.4 | 0.7 | 0.5 | 1.1 |
time_sec_h10_h40 | 3.1 | 2.2 | 4.6 | 2.6 | 1.9 | 4.3 |
time_sec_i | 1.0 | 0.7 | 1.6 | 0.8 | 0.6 | 1.4 |
time_sec_k | 0.8 | 0.6 | 1.4 | 0.7 | 0.5 | 1.2 |
time_sec_list | 0.2 | 0.1 | 0.5 | 0.1 | 0.1 | 0.3 |
time_sec_total | 43.7 | 32.2 | 57.3 | 45.8 | 33.7 | 59.6 |
The table below shows median section times for enumerators with surveys with shorter than average median survey times.
Enumerator | ono | Surveys | Median | Median: Sec B | Median: Sec C | Median: Sec D Electricity | Median: Sec D Oth Services | Median: Sec D CSP | Median: Sec E | Median: Sec E Conjoint | Median: Sec F | Median: Sec G COVID | Median: Sec G Climate | Median: Sec H Gender | Median: Sec H Disability | Median: Sec I | Sum |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Baktybek_M | Batken | 9 | 25.4 | 4.6 | 0.7 | 1.6 | 2.7 | 1.0 | 5.5 | 0.3 | 1.9 | 1.4 | 1.3 | 0.7 | 2.1 | 0.6 | 24.4 |
Tynychbek_A | Osh | 7 | 25.6 | 3.6 | 0.7 | 1.9 | 2.7 | 0.1 | 7.8 | 0.3 | 1.8 | 1.1 | 1.2 | 0.7 | 2.2 | 0.8 | 24.9 |
Gulmira_Im | Batken | 8 | 26.6 | 8.6 | 0.6 | 2.1 | 2.4 | 0.9 | 4.3 | 0.2 | 1.7 | 1.3 | 0.9 | 0.6 | 1.9 | 0.6 | 26.1 |
Omurbek_A | Batken | 14 | 27.0 | 4.0 | 0.6 | 1.4 | 1.6 | 0.6 | 6.2 | 0.3 | 2.1 | 1.0 | 1.4 | 0.6 | 2.0 | 0.7 | 22.5 |
Карабаев | Osh | 15 | 31.6 | 4.0 | 0.6 | 2.5 | 3.7 | 0.2 | 7.2 | 0.2 | 3.0 | 1.2 | 1.5 | 0.6 | 3.2 | 0.7 | 28.6 |
Gulmira_Is | Batken | 12 | 32.2 | 9.3 | 0.6 | 2.5 | 2.2 | 0.7 | 4.8 | 0.2 | 1.3 | 1.0 | 1.2 | 0.4 | 1.9 | 0.6 | 26.7 |
Akmaral_M | Osh | 16 | 32.3 | 4.6 | 0.6 | 3.1 | 3.6 | 0.6 | 5.6 | 0.3 | 2.0 | 0.9 | 0.9 | 0.3 | 1.6 | 0.6 | 24.7 |
Gulmira_D | Batken | 11 | 36.7 | 5.9 | 1.1 | 2.9 | 3.6 | 1.2 | 6.7 | 0.4 | 3.1 | 1.6 | 1.3 | 0.7 | 2.9 | 0.8 | 32.2 |
Nazgul_P | Osh | 8 | 37.6 | 5.5 | 0.9 | 2.8 | 3.9 | 0.2 | 7.4 | 0.5 | 2.5 | 1.9 | 1.1 | 1.2 | 3.5 | 0.8 | 32.2 |
Dinara_R | Jalal-Abad | 32 | 39.4 | 4.7 | 0.9 | 4.4 | 5.6 | 0.1 | 9.2 | 0.8 | 2.8 | 1.6 | 2.1 | 0.8 | 3.3 | 0.8 | 37.1 |
Gulburak_T | Batken | 4 | 40.6 | 14.6 | 1.1 | 3.0 | 5.8 | 1.6 | -9.2 | 0.3 | 1.7 | 1.1 | 1.2 | 0.6 | 25.7 | 1.0 | 48.5 |
Azamat_T | Osh | 5 | 41.2 | 9.2 | 0.8 | 2.0 | 3.3 | 0.2 | 7.6 | 1.2 | 2.6 | 1.3 | 1.6 | 0.5 | 3.4 | 2.0 | 35.7 |
Zhiidegul_M | Batken | 10 | 41.2 | 5.0 | 1.4 | 3.6 | 4.2 | 2.2 | 9.0 | 0.6 | 2.0 | 1.8 | 1.4 | 0.7 | 2.3 | 1.1 | 35.3 |
Statistics:
The enumerators below have recorded a very large number of Don’t Knows on many surveys! We expect some respondents will say don’t know, but enumerators should not consistently report more Don’t Knows than other enumerators!
Enumerator | ono | Surveys | Surveys > 75 perc DKs | Median | Max |
---|---|---|---|---|---|
Dinara_R | Jalal-Abad | 32 | 29 | 21 | 35 |
Осмонова Венера | Jalal-Abad | 31 | 26 | 20 | 39 |
Azamat_A | Jalal-Abad | 14 | 10 | 19 | 32 |
Садыкова Чинара | Jalal-Abad | 27 | 15 | 15 | 31 |
Baktybek_M | Batken | 9 | 5 | 14 | 24 |
Tattybubu_M | Osh | 15 | 5 | 10 | 22 |
Zhiidegul_M | Batken | 10 | 3 | 9 | 18 |
Nazgul_P | Osh | 8 | 3 | 8 | 19 |
This table shows the average HHI, by enumerator, of the responses to 25 agreement-style questions in the survey. The HHI is a metric that indicates the ‘diversification’ in responses to the agreement questions.
An average HHI of 1 indicates that the enumerator records the same answer for all 25 agreement questions on every survey they enumerated. As the average HHI approaches 0, it indicates that the enumerator tends to record the same number of responses at each level of agreement for each survey.
Average HHIs above 0.70 indicate the enumerator is very often recording the same answer. Average HHIs below 0.3 indicate the enumerator is recording a lot of different options.
Oblast | Enumerator | Surveys | Avg HHI | Avg % Str. Agr | Avg % Agr | Avg % Neither | Avg % Dis | Avg % Str. Dis | Avg % DK |
---|---|---|---|---|---|---|---|---|---|
Osh | Kunduz_K | 10 | 0.264 | 0.223 | 0.24 | 0.236 | 0.18 | 0.158 | 0.021 |
How problematic interviews are determined:
Please check the file issues_20240923.csv to see all problematic interviews. Below is just a summary by oblast.
Date | Batken | Jalal-Abad | Osh |
---|---|---|---|
Aug 20 | 3 | 7 | 27 |
Aug 21 | 7 | 7 | 48 |
Aug 22 | 4 | 13 | 31 |
Aug 23 | 2 | 12 | 16 |
Aug 24 | 3 | 6 | 20 |
Aug 25 | 10 | 17 | 32 |
Aug 26 | 7 | 14 | 13 |
Aug 27 | 3 | 23 | 16 |
Aug 28 | 2 | 21 | 22 |
Aug 29 | 11 | 28 | 19 |
Aug 30 | 8 | 24 | 16 |
Aug 31 | 27 | 28 | 14 |
Sep 01 | 14 | 17 | 29 |
Sep 02 | 4 | 20 | 12 |
Sep 03 | 1 | 23 | 8 |
Sep 04 | 5 | 20 | 6 |
Sep 05 | 4 | 15 | 0 |
Sep 06 | 3 | 22 | 11 |
Sep 07 | 21 | 35 | 32 |
Sep 08 | 18 | 35 | 50 |
Sep 09 | 12 | 27 | 7 |
Sep 10 | 13 | 36 | 10 |
Sep 11 | 2 | 24 | 15 |
Sep 12 | 1 | 31 | 8 |
Sep 13 | 21 | 13 | 1 |
Sep 14 | 18 | 14 | 17 |
Sep 15 | 18 | 6 | 19 |
Sep 16 | 0 | 9 | 0 |
Sep 17 | 9 | 0 | 0 |
Sep 18 | 8 | 6 | 18 |
Sep 19 | 12 | 6 | 0 |
Sep 20 | 1 | 6 | 7 |
Sep 21 | 19 | 18 | 18 |
Sep 22 | 10 | 6 | 7 |
Oct 09 | 1 | 0 | 0 |
Total | 302 | 589 | 549 |
## # A tibble: 215 × 7
## # Groups: fi, fs [43]
## fi fs date_text n median perc25 perc75
## <chr> <int> <chr> <int> <dbl> <dbl> <dbl>
## 1 "358\nОсмонова Венера" 2 Sep 14 1 54.8 54.8 54.8
## 2 "358-091-016" 2 Sep 14 1 44.1 44.1 44.1
## 3 "Adilet_S" 4 Sep 09 6 70.0 64.4 80.6
## 4 "Adilet_S" 4 Sep 10 7 45.2 43.1 56.0
## 5 "Adilet_S" 4 Sep 11 2 85.8 79.4 92.2
## 6 "Adilet_S" 4 Sep 12 5 62.8 62.3 70.8
## 7 "Adilet_S" 4 Sep 14 5 63.4 54 71.9
## 8 "Adilet_S" 4 Sep 15 4 64.9 63.5 69.8
## 9 "Adilet_S" 4 Sep 18 6 36.8 27.9 45.7
## 10 "Adilet_S" 4 Sep 20 8 48.5 44.0 50.3
## # ℹ 205 more rows
The following table shows indicators for enumerator performance. You can sort the table to see how enumerators perform.
Please pay special attention to the following enumerators: Tynychbek_A, Nazgul_P, Карабаев, Baktybek_M, Dinara_R, Akmaral_M, Gulmira_Im, Busadat_S, Zhiidegul_M, Omurbek_A, Gulmira_D, Осмонова Венера, Садыкова Чинара, Gulmira_Is, Adilet_S, Turgunai_S, Azamat_A!!