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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14964

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355

(district_origin)

Data file: Household data

Overview

Valid: 103543

Invalid: 89116

Type: Discrete

Range: 1 - 151

Format: Factor

Questions and instructions

Categories

Value	Category	Cases
1	abkamari	311	0.2%
2	alasay	502	0.3%
3	alingar	706	0.4%
4	alishang	647	0.3%
5	almar	820	0.4%
6	andkhoy	351	0.2%
7	aqcha	243	0.1%
8	arghandab	285	0.1%
9	arghandab_zabul	287	0.1%
10	arghestan	732	0.4%
11	argo	302	0.2%
12	ashtarlay	498	0.3%
13	aybak	2032	1.1%
14	baghlan_e_jadid	1333	0.7%
15	baharak_badakhshan	235	0.1%
16	balabuluk	232	0.1%
17	balkhab	3806	2%
18	bamyan	1078	0.6%
19	barakibarak	510	0.3%
20	barg_e__matal	480	0.2%
21	bilcheragh	287	0.1%
22	burka	653	0.3%
23	chak	235	0.1%
24	chapadara	230	0.1%
25	char_darah	498	0.3%
26	charkh	237	0.1%
27	charsada	538	0.3%
28	chawkay	224	0.1%
29	chemtal	276	0.1%
30	chora	666	0.3%
31	dahana_e_ghori	684	0.4%
32	dara_e_pech	308	0.2%
33	dara_e_suf_e_payin	1484	0.8%
34	dasht_e_archi	518	0.3%
35	dawlatshah	371	0.2%
36	dehrawud	764	0.4%
37	doshi	288	0.1%
38	emam_saheb	619	0.3%
39	farah	209	0.1%
40	farkhar	362	0.2%
41	feroz_koh	957	0.5%
42	gardez	340	0.2%
43	garmser	275	0.1%
44	ghaziabad	213	0.1%
45	ghazni	227	0.1%
46	ghorak	325	0.2%
47	ghorband	354	0.2%
48	ghormach	310	0.2%
49	giti	300	0.2%
50	gizab	531	0.3%
51	gosfandi	434	0.2%
52	gulestan	967	0.5%
53	gulran	241	0.1%
54	gurziwan	258	0.1%
55	guzara	281	0.1%
56	hazrat_e_sultan	279	0.1%
57	hesa_e_awal_e_behsud	501	0.3%
58	jaji	229	0.1%
59	jalrez	242	0.1%
60	jorm	257	0.1%
61	kabul	432	0.2%
62	kahmard	305	0.2%
63	kajaki	290	0.2%
64	kajran	422	0.2%
65	kamdesh	731	0.4%
66	kandahar	1130	0.6%
67	keshendeh	309	0.2%
68	khadir	475	0.2%
69	khakrez	320	0.2%
70	khanabad	543	0.3%
71	khas_uruzgan	598	0.3%
72	khashrod	1101	0.6%
73	khogyani	346	0.2%
74	khoshi	263	0.1%
75	khuram_sarbagh	765	0.4%
76	khwaja_bahawuddin	292	0.2%
77	kohestanat	483	0.3%
78	kunduz	654	0.3%
79	kushk	486	0.3%
80	kushk_e_kohna	260	0.1%
81	lal_wa_sarjangal	884	0.5%
82	lashkargah	2067	1.1%
83	lija_ahmad_khel	226	0.1%
84	mandol	462	0.2%
85	markaz_e_behsud	1238	0.6%
86	maydan_shahr	276	0.1%
87	maymana	215	0.1%
88	maywand	1416	0.7%
89	mehtarlam	443	0.2%
90	miramor	621	0.3%
91	mohammad_agha	303	0.2%
92	muqur_badghis	1115	0.6%
93	murghab	432	0.2%
94	musa_qalah	209	0.1%
95	nad_e_ali	809	0.4%
96	nadir_shah_kot	313	0.2%
97	nahr_e_saraj	1296	0.7%
98	nahrin	492	0.3%
99	nawa_e_barakzaiy	692	0.4%
100	nawbahar	321	0.2%
101	nawzad	354	0.2%
102	nejrab	734	0.4%
103	nerkh	591	0.3%
104	nili	743	0.4%
105	other	16599	8.6%
106	panjab	896	0.5%
107	pasaband	281	0.1%
108	pashtunkot	699	0.4%
109	patoo	481	0.2%
110	pul_e_alam	477	0.2%
111	pul_e_khumri	1459	0.8%
112	purchaman	274	0.1%
113	pushtrod	442	0.2%
114	qadis	1694	0.9%
115	qala_e_naw	560	0.3%
116	qala_e_zal	326	0.2%
117	qalat	412	0.2%
118	qarghayi	316	0.2%
119	qaysar	623	0.3%
120	ruy_e_duab	383	0.2%
121	sancharak	719	0.4%
122	sang_e_takht	398	0.2%
123	sangin	643	0.3%
124	sar_e_pul	335	0.2%
125	sayd_abad	333	0.2%
126	sayghan	641	0.3%
127	shah_walikot	925	0.5%
128	shahid_e_hassas	382	0.2%
129	shahjoy	493	0.3%
130	shahr_e_buzorg	220	0.1%
131	shahrak	677	0.4%
132	shahrestan	991	0.5%
133	shendnd	2558	1.3%
134	shibar	460	0.2%
135	shiberghan	383	0.2%
136	shigal_wa_sheltan	300	0.2%
137	shinkay	359	0.2%
138	shinwari	221	0.1%
139	sholgareh	258	0.1%
140	shomulzay	231	0.1%
141	spinboldak	535	0.3%
142	surobi	255	0.1%
143	tagab	484	0.3%
144	taloqan	465	0.2%
145	tarnak_wa_jaldak	244	0.1%
146	taywarah	298	0.2%
147	tirinkot	2146	1.1%
148	waras	993	0.5%
149	waygal	526	0.3%
150	yaftal_e_sufla	232	0.1%
151	yakawlang	1097	0.6%
Missing value		89116	46.3%

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.

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