Rapid Household Assessments 2022

Afghanistan, 2022

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Reference ID

UNHCR_AFG_2022_RHAF_anon_data_v2.1

Producer(s)

UNHCR

Collections

Asia Pacific

Metadata

Documentation in PDF DDI/XML JSON

Created on

Feb 23, 2023

Last modified

Feb 23, 2023

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17979

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444

(district_returned)

Data file: Household data

Overview

Valid: 65857

Invalid: 126802

Type: Discrete

Range: 1 - 115

Format: Factor

Questions and instructions

Categories

Value	Category	Cases
1	adraskan	143	0.1%
2	almar	172	0.1%
3	aqcha	156	0.1%
4	arghandab	324	0.2%
5	arghanjkhwa	167	0.1%
6	arghestan	139	0.1%
7	argo	213	0.1%
8	asadabad	487	0.3%
9	ashtarlay	512	0.3%
10	aybak	2162	1.1%
11	baghlan_e_jadid	1032	0.5%
12	bagrami	152	0.1%
13	baharak_badakhshan	252	0.1%
14	bakwa	412	0.2%
15	balkhab	3822	2%
16	bamyan	1478	0.8%
17	behsud	767	0.4%
18	bilcheragh	169	0.1%
19	burka	611	0.3%
20	char_darah	249	0.1%
21	chora	444	0.2%
22	dahana_e_ghori	479	0.2%
23	daman	296	0.2%
24	dara_e_suf_e_payin	373	0.2%
25	dasht_e_archi	480	0.2%
26	dehrawud	401	0.2%
27	emam_saheb	421	0.2%
28	eshkashem	152	0.1%
29	farah	360	0.2%
30	fayzabad	150	0.1%
31	feroz_koh	425	0.2%
32	garmser	204	0.1%
33	ghazni	284	0.1%
34	ghormach	139	0.1%
35	giti	518	0.3%
36	gizab	180	0.1%
37	gosfandi	245	0.1%
38	gulestan	205	0.1%
39	gurziwan	208	0.1%
40	guzara	163	0.1%
41	hesa_e_awal_e_behsud	275	0.1%
42	hirat	1464	0.8%
43	injil	302	0.2%
44	jalalabad	744	0.4%
45	jorm	155	0.1%
46	kabul	1366	0.7%
47	kahmard	348	0.2%
48	kajaki	335	0.2%
49	kajran	182	0.1%
50	kandahar	2436	1.3%
51	khadir	292	0.2%
52	khakrez	276	0.1%
53	khanabad	377	0.2%
54	khas_uruzgan	236	0.1%
55	khashrod	178	0.1%
56	kohestanat	370	0.2%
57	kunduz	778	0.4%
58	kushk	133	0.1%
59	lal_wa_sarjangal	531	0.3%
60	lashkargah	1503	0.8%
61	mahmud_e_raqi	171	0.1%
62	markaz_e_behsud	827	0.4%
63	matun_shahr	243	0.1%
64	maydan_shahr	195	0.1%
65	maymana	1101	0.6%
66	maywand	654	0.3%
67	mazar_e_sharif	257	0.1%
68	mehtarlam	856	0.4%
69	miramor	417	0.2%
70	musa_qalah	400	0.2%
71	nad_e_ali	1147	0.6%
72	nahr_e_saraj	1285	0.7%
73	nahrin	339	0.2%
74	nari	172	0.1%
75	nawa_e_barakzaiy	628	0.3%
76	nawbahar	174	0.1%
77	nawzad	296	0.2%
78	nili	791	0.4%
79	other	6506	3.4%
80	panjab	250	0.1%
81	parun	312	0.2%
82	patoo	336	0.2%
83	pul_e_khumri	1562	0.8%
84	purchaman	136	0.1%
85	qala_e_naw	1386	0.7%
86	qala_e_zal	273	0.1%
87	qalat	648	0.3%
88	qarghayi	222	0.1%
89	qaysar	196	0.1%
90	sancharak	227	0.1%
91	sang_e_takht	212	0.1%
92	sangin	469	0.2%
93	sar_e_pul	597	0.3%
94	sayghan	330	0.2%
95	shah_walikot	629	0.3%
96	shahid_e_hassas	221	0.1%
97	shahjoy	308	0.2%
98	shahr_e_buzorg	200	0.1%
99	shahrestan	716	0.4%
100	sharan	189	0.1%
101	shendnd	786	0.4%
102	shibar	315	0.2%
103	shiberghan	673	0.3%
104	shinkay	231	0.1%
105	shomulzay	163	0.1%
106	spinboldak	792	0.4%
107	surkhrod	165	0.1%
108	taloqan	603	0.3%
109	tirinkot	1879	1%
110	waras	283	0.1%
111	yaftal_e_sufla	133	0.1%
112	yakawlang	1253	0.7%
113	zaranj	530	0.3%
114	zebak	170	0.1%
115	zheray	176	0.1%
Missing value		126802	65.8%

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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