Rapid Household Assessments 2024 January-June
Afghanistan, 2024
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Reference ID
UNHCR_AFG_2024my_RHAF_anon_data_v2.1
Producer(s)
UNHCR
Collections
Metadata
Created on
Dec 06, 2024
Last modified
Dec 09, 2024
Page views
18083
Downloads
174
- Data files
- Household data
K5a2. If yes, select the District (district_001)
Data file: Household data
Overview
Valid:
1430
Invalid:
19923
Type:
Discrete
Range:
1 - 107
Format:
Factor
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | achin | 3 |
0%
|
| 2 | ajrestan | 4 |
0%
|
| 3 | alingar | 2 |
0%
|
| 4 | almar | 5 |
0%
|
| 5 | andar | 12 |
0.1%
|
| 6 | arghandab | 1 |
0%
|
| 7 | arghandab_zabul | 1 |
0%
|
| 8 | asadabad | 116 |
0.5%
|
| 9 | azra | 2 |
0%
|
| 10 | baghlan_e_jadid | 1 |
0%
|
| 11 | baharak | 1 |
0%
|
| 12 | bamyan | 127 |
0.6%
|
| 13 | bangi | 1 |
0%
|
| 14 | batikot | 7 |
0%
|
| 15 | behsud | 85 |
0.4%
|
| 16 | chak | 3 |
0%
|
| 17 | chaparhar | 7 |
0%
|
| 18 | charbulak | 1 |
0%
|
| 19 | chawkay | 3 |
0%
|
| 20 | chemtal | 2 |
0%
|
| 21 | daman | 18 |
0.1%
|
| 22 | dangam | 2 |
0%
|
| 23 | dara_e_nur | 6 |
0%
|
| 24 | dara_e_pech | 16 |
0.1%
|
| 25 | dasht_e_qala | 1 |
0%
|
| 26 | dehbala | 2 |
0%
|
| 27 | fereng_gharu | 21 |
0.1%
|
| 28 | gardez | 2 |
0%
|
| 29 | gelan | 3 |
0%
|
| 30 | ghaziabad | 2 |
0%
|
| 31 | ghazni | 5 |
0%
|
| 32 | goshta | 1 |
0%
|
| 33 | gulestan | 2 |
0%
|
| 34 | gurbuz | 1 |
0%
|
| 35 | guzara | 16 |
0.1%
|
| 36 | guzargahi_nur | 8 |
0%
|
| 37 | hesarak | 1 |
0%
|
| 38 | hirat | 2 |
0%
|
| 39 | injil | 6 |
0%
|
| 40 | jaghatu | 1 |
0%
|
| 41 | jalalabad | 123 |
0.6%
|
| 42 | kabul | 2 |
0%
|
| 43 | kama | 46 |
0.2%
|
| 44 | kandahar | 82 |
0.4%
|
| 45 | karukh | 1 |
0%
|
| 46 | khak_e_safed | 31 |
0.1%
|
| 47 | khas_uruzgan | 1 |
0%
|
| 48 | khenjan | 6 |
0%
|
| 49 | khogyani | 21 |
0.1%
|
| 50 | khoshi | 3 |
0%
|
| 51 | khost_wa_fereng | 14 |
0.1%
|
| 52 | khwaja_ghar | 5 |
0%
|
| 53 | kohsan | 7 |
0%
|
| 54 | kot | 5 |
0%
|
| 55 | kuz_kunar | 32 |
0.1%
|
| 56 | malestan | 1 |
0%
|
| 57 | marawara | 2 |
0%
|
| 58 | mardyan | 1 |
0%
|
| 59 | matakhan | 1 |
0%
|
| 60 | maydan_shahr | 2 |
0%
|
| 61 | maywand | 1 |
0%
|
| 62 | mehtarlam | 17 |
0.1%
|
| 63 | muhmand_dara | 1 |
0%
|
| 64 | nad_e_ali | 1 |
0%
|
| 65 | nadir_shah_kot | 1 |
0%
|
| 66 | nahr_e_shahi | 1 |
0%
|
| 67 | nahrin | 1 |
0%
|
| 68 | narang | 50 |
0.2%
|
| 69 | nari | 2 |
0%
|
| 70 | nawa | 57 |
0.3%
|
| 71 | nawbahar | 1 |
0%
|
| 72 | nawzad | 1 |
0%
|
| 73 | nili | 65 |
0.3%
|
| 74 | pachieragam | 5 |
0%
|
| 75 | panjwayi | 18 |
0.1%
|
| 76 | pul_e_alam | 4 |
0%
|
| 77 | pul_e_hesar | 8 |
0%
|
| 78 | qadis | 1 |
0%
|
| 79 | qala_e_naw | 3 |
0%
|
| 80 | qalat | 9 |
0%
|
| 81 | qarabagh_ghazni | 15 |
0.1%
|
| 82 | qarghayi | 29 |
0.1%
|
| 83 | reg | 1 |
0%
|
| 84 | rodat | 22 |
0.1%
|
| 85 | sarkani | 3 |
0%
|
| 86 | sarrawzah | 2 |
0%
|
| 87 | sayd_abad | 1 |
0%
|
| 88 | shahjoy | 2 |
0%
|
| 89 | sharan | 1 |
0%
|
| 90 | sherzad | 3 |
0%
|
| 91 | shiberghan | 1 |
0%
|
| 92 | shigal_wa_sheltan | 11 |
0.1%
|
| 93 | shinkay | 1 |
0%
|
| 94 | shinwar | 3 |
0%
|
| 95 | shomulzay | 3 |
0%
|
| 96 | surkhrod | 99 |
0.5%
|
| 97 | surobi | 2 |
0%
|
| 98 | taloqan | 1 |
0%
|
| 99 | tarnak_wa_jaldak | 1 |
0%
|
| 100 | taywarah | 20 |
0.1%
|
| 101 | tirinkot | 1 |
0%
|
| 102 | tolak | 31 |
0.1%
|
| 103 | watapur | 6 |
0%
|
| 104 | yahya_khel | 1 |
0%
|
| 105 | yakawlang | 31 |
0.1%
|
| 106 | zanakhan | 2 |
0%
|
| 107 | zheray | 4 |
0%
|
| Missing value | 19923 |
93.3%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.