Rapid Household Assessments 2022

Afghanistan, 2022

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Reference ID

UNHCR_AFG_2022_RHAF_anon_data_v2.1

Producer(s)

UNHCR

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Asia Pacific

Metadata

Documentation in PDF DDI/XML JSON

Created on

Feb 23, 2023

Last modified

Feb 23, 2023

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10205

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221

(district)

Data file: Household data

Overview

Valid: 192656

Invalid: 3

Type: Discrete

Range: 1 - 132

Format: Factor

Questions and instructions

Categories

Value	Category	Cases
1	alingar	713	0.4%
2	alishang	499	0.3%
3	almar	1225	0.6%
4	andkhoy	433	0.2%
5	aqcha	631	0.3%
6	arghestan	887	0.5%
7	asadabad	432	0.2%
8	ashtarlay	1314	0.7%
9	aybak	3649	1.9%
10	baghlan_e_jadid	1284	0.7%
11	bagram	476	0.2%
12	balkhab	4143	2.2%
13	bamyan	3240	1.7%
14	barakibarak	415	0.2%
15	barg_e__matal	557	0.3%
16	batikot	392	0.2%
17	behsud	522	0.3%
18	bermel	6491	3.4%
19	burka	621	0.3%
20	char_darah	532	0.3%
21	charbulak	391	0.2%
22	charikar	963	0.5%
23	charsada	1201	0.6%
24	chawkay	465	0.2%
25	chora	645	0.3%
26	dahana_e_ghori	687	0.4%
27	dara_e_suf_e_payin	1098	0.6%
28	dasht_e_archi	1034	0.5%
29	dawlatshah	424	0.2%
30	deh_sabz	760	0.4%
31	dehdadi	535	0.3%
32	dehrawud	707	0.4%
33	emam_saheb	583	0.3%
34	farah	2044	1.1%
35	farkhar	480	0.2%
36	fayzabad	589	0.3%
37	feroz_koh	4990	2.6%
38	gardez	1645	0.9%
39	ghazni	1602	0.8%
40	giti	1183	0.6%
41	gizab	1059	0.5%
42	gosfandi	640	0.3%
43	gulestan	696	0.4%
44	gurbuz	4001	2.1%
45	gurziwan	414	0.2%
46	guzara	1465	0.8%
47	gyan	903	0.5%
48	hesa_e_awal_e_behsud	1286	0.7%
49	hirat	1396	0.7%
50	injil	1837	1%
51	jorm	496	0.3%
52	kabul	6488	3.4%
53	kahmard	775	0.4%
54	kajran	1176	0.6%
55	kamdesh	697	0.4%
56	kandahar	983	0.5%
57	karukh	827	0.4%
58	khadir	1112	0.6%
59	khak_e_jabbar	952	0.5%
60	khanabad	473	0.2%
61	khas_uruzgan	454	0.2%
62	khashrod	1597	0.8%
63	khogyani	1176	0.6%
64	khuram_sarbagh	781	0.4%
65	khwaja_bahawuddin	511	0.3%
66	kohestanat	868	0.5%
67	kunduz	953	0.5%
68	lal_wa_sarjangal	2169	1.1%
69	lashkargah	2290	1.2%
70	mahmud_e_raqi	718	0.4%
71	mandol	399	0.2%
72	mandozayi	422	0.2%
73	markaz_e_behsud	2151	1.1%
74	matun_shahr	3285	1.7%
75	maydan_shahr	1515	0.8%
76	maywand	2004	1%
77	mazar_e_sharif	720	0.4%
78	mehtarlam	1244	0.6%
79	miramor	1310	0.7%
80	mohammad_agha	926	0.5%
81	muqur_badghis	1437	0.7%
82	nad_e_ali	745	0.4%
83	nahr_e_saraj	1347	0.7%
84	nahr_e_shahi	1919	1%
85	nahrin	425	0.2%
86	nawa_e_barakzaiy	704	0.4%
87	nerkh	412	0.2%
88	nili	2023	1.1%
89	nurgeram	539	0.3%
90	other	33293	17.3%
91	panjab	1518	0.8%
92	parun	664	0.3%
93	pasaband	2017	1%
94	pashtunkot	929	0.5%
95	patoo	956	0.5%
96	pul_e_alam	2012	1%
97	pul_e_khumri	2089	1.1%
98	pushtrod	547	0.3%
99	qadis	1089	0.6%
100	qala_e_naw	1905	1%
101	qalat	746	0.4%
102	qarghayi	820	0.4%
103	qaysar	1031	0.5%
104	sabari	745	0.4%
105	sancharak	856	0.4%
106	sang_e_takht	1172	0.6%
107	sangin	628	0.3%
108	sar_e_pul	836	0.4%
109	sayad	451	0.2%
110	sayghan	843	0.4%
111	shah_walikot	1383	0.7%
112	shahid_e_hassas	400	0.2%
113	shahjoy	657	0.3%
114	shahrak	523	0.3%
115	shahrestan	1878	1%
116	shendnd	2421	1.3%
117	shibar	961	0.5%
118	shiberghan	2016	1%
119	spera	405	0.2%
120	spinboldak	838	0.4%
121	surkhrod	936	0.5%
122	taloqan	473	0.2%
123	terezayi	1641	0.9%
124	tirinkot	2430	1.3%
125	wama	500	0.3%
126	waras	1779	0.9%
127	washer	390	0.2%
128	waygal	524	0.3%
129	yakawlang	2492	1.3%
130	zadran	392	0.2%
131	zaranj	857	0.4%
132	zurmat	411	0.2%
Missing value		3	0%

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.

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