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    Home / Central Data Catalog / ASIA / UNHCR_AFG_2021_MSRNA_V2.1 / variable [HH_Data]
ASIA

Multi-Sectorial Rapid Assessments - 2021

Afghanistan, 2021
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Reference ID
UNHCR_AFG_2021_MSRNA_v2.1
Producer(s)
UNHCR
Collections
Asia Pacific Needs Assessments
Metadata
DDI/XML JSON
Created on
Aug 26, 2022
Last modified
Aug 26, 2022
Page views
11632
Downloads
361
  • Study Description
  • Data Dictionary
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  • Data files
  • Household data

If Cash what was the purpose? (cash_purpose)

Data file: Household data

Overview

Valid: 3720
Invalid: 138462
Type: Discrete
Range: 1 - 638
Format: Factor

Questions and instructions

Categories
Value Category Cases
1 Health 1
0%
2 Household expenses 1
0%
3 ?? ???? ???? 1
0%
4 ??? ????? ?? ??? ????? ????? ??? ??? ????? ?????? ?????? ???. 1
0%
5 ??? ????? ????? ?????? ? ????? ?????? ???? 1
0%
6 ??? ??????? 1
0%
7 ????? ???? 2
0.1%
8 ????? ???? ???? 1
0%
9 ?????? ????? ?????? 1
0%
10 ??????? ???? 1
0%
11 He bought food and started livestock. 2
0.1%
12 Last,week 1
0%
13 She's treated his children. 1
0%
14 Treatment DS 1
0%
15 For vintrazition assistance 1
0%
16 Has been treated 1
0%
17 He bought food and started livestock 1
0%
18 He bought food and started livestock. 1
0%
19 He provided me with a cake business. 1
0%
20 I ate it because of the food 10
0.3%
21 Last, Week 1
0%
22 When he came home in 1392, he received 10,000 afghanis. 1
0%
23 , 1
0%
24 . 1
0%
25 ? 1
0%
26 ? ???? ???? 2
0.1%
27 ? ???? ???? ?? ??? ???? ????? ?? ? ??? ?? ?? ??? ?????? ???? ?? ???? ?????? ????? 1
0%
28 ? ???? ???? ?? ??? ???? ?????? 2
0.1%
29 ? ?????? 2
0.1%
30 ? ?????? ???? 22
0.6%
31 ? ?????? ?????? 2
0.1%
32 ? ?????? ?????? ???? 1
0%
33 ?? ??? ??? 9
0.2%
34 ?? ??? ??? ?? ????? ????? ????? ????? ? ??? ???????? 1
0%
35 ?? ??? ???? 1
0%
36 ?? ??? ????? 3
0.1%
37 ?? ??? ?????? 2
0.1%
38 ?? ???? ??? ?? ????? ????? ??? 1
0%
39 ?? ???? ???? 1
0%
40 ?? ???? ???? ????? ????? ??? 1
0%
41 ?? ????? 1
0%
42 ?? ????? ???? 1
0%
43 ?? ????? ???? ? PSN 1
0%
44 ??? 5
0.1%
45 ??? ? ??? ???? 1
0%
46 ??? ? ??????? 11
0.3%
47 ??? ??? 2
0.1%
48 ??? ??? ?????? 1
0%
49 ??? ??? ??????? 2
0.1%
50 ??? ???? 3
0.1%
51 ??? ???? ???? 6
0.2%
52 ??? ???? ???? ?? ??? ???? ?????? 2
0.1%
53 ??? ???? ???? ??? ???? ?psn ????? ??? 1
0%
54 ??? ????? 3
0.1%
55 ??? ????? ??? ??????? 15
0.4%
56 ??? ????? ???? 1
0%
57 ??? ????? ???? ?? ??? ???? ????? 1
0%
58 ??? ????? ????? ??? ??????? 1
0%
59 ??? ????? ????? ????? ????? 1
0%
60 ??? ?????? 4
0.1%
61 ??? ?????? ???? 3
0.1%
62 ??? ?????? ???? ? PSN ???? 1
0%
63 ??? ?????? ???? ????? 1
0%
64 ??? ??????? 4
0.1%
65 ???? 1
0%
66 ???? ??? ???? 1
0%
67 ???? ??? ?????? ????? 1
0%
68 ???? ???? 5
0.1%
69 ???? ???? 1
0%
70 ???? ???? ???? 1
0%
71 ???? ???? ??????? 1
0%
72 ???? ????? 3
0.1%
73 ???? ????? 1
0%
74 ???? ????? ??? ????? ? ??? 1
0%
75 ???? ?????? 11
0.3%
76 ????? 7
0.2%
77 ????? ???? 1
0%
78 ????? ???? ??? ???? 1
0%
79 ????? ???? psn ???? 1
0%
80 ????? ????? 1
0%
81 ????? ????? ????? 1
0%
82 ????? ?????? ??? ? ??????? ?? 1
0%
83 ?????? 1
0%
84 ?????? ???? 1
0%
85 ?????? ???? ???? 1
0%
86 ?????? ???? ????? 1
0%
87 ?????? ???? ?????? ?? ?? ??? ????? ????? ? ??? ?????. 1
0%
88 ?????? ?????? ??? ????? ????? 1
0%
89 ??????? ???? ??? ???? ?PSN ????? ???? ???? ????? ??? 1
0%
90 ???????? 1
0%
91 ???????? ??????? 1
0%
92 ????????? 1
0%
93 ????????? ???? 1
0%
94 ????????? ????? 1
0%
95 0 3
0.1%
96 10000 1
0%
97 11/15/2021 2
0.1%
98 11/3/2020 1
0%
99 12000 1
0%
100 14000 1
0%
101 16/11/2021 1
0%
102 16_11_2021 1
0%
103 195$ / 28_10_2021 1
0%
104 1month ago 2
0.1%
105 1week Ago 16
0.4%
106 2 3
0.1%
107 2 years ago 2
0.1%
108 20/11/2021 1
0%
109 20/12/2020 1
0%
110 200 1
0%
111 2000 1
0%
112 2021/11 1
0%
113 3 3
0.1%
114 3 ?????? ???? 2
0.1%
115 3 month ago 1
0%
116 3 month a go 1
0%
117 3 months ago 1
0%
118 3 months ago 1
0%
119 3 months before 1
0%
120 3 Monts Ago 1
0%
121 30 1
0%
122 390 1
0%
123 3Month ago, cash for food 1
0%
124 4 2
0.1%
125 4 month a go 1
0%
126 4 month ago 2
0.1%
127 4Month Ago,cash for food 1
0%
128 5 1
0%
129 5000 1
0%
130 6 1
0%
131 6 month 2
0.1%
132 6 month ago 1
0%
133 6850 1
0%
134 8000 1
0%
135 About 3 months ago 1
0%
136 About 4 months ago 2
0.1%
137 AFN 3
0.1%
138 Animal for business 1
0%
139 assistance 1
0%
140 Assistance 3
0.1%
141 Assistance 44
1.2%
142 Assistance fee for refugee 1
0%
143 Basic needs 2
0.1%
144 Basic needs like food 1
0%
145 Bought animals 1
0%
146 Bought animals and bought Food 1
0%
147 Bought food 2
0.1%
148 Bought Food 3
0.1%
149 Bought food 5
0.1%
150 Bought Food 34
0.9%
151 Bought food and animal 1
0%
152 Bought Food and bought animals 1
0%
153 Buoght food 1
0%
154 But I'm disabled 1
0%
155 Buy the food 3
0.1%
156 Buying food 1
0%
157 Cansumption of spices for the sick 3
0.1%
158 Cash for food 7
0.2%
159 Cash for Food 1
0%
160 Cash For Food 1
0%
161 Cash for food 1
0%
162 Cash for food WFP 3
0.1%
163 Cash for for food WFP 1
0%
164 Cash for fuel 1
0%
165 Cash for fuel 1
0%
166 Cash for fuel and food 1
0%
167 Cash for fuel, food 1
0%
168 Cash for livelihood 1
0%
169 Cash For NFI 1
0%
170 cash for protection 1
0%
171 Cash for protection 3
0.1%
172 Cash for Protection 1
0%
173 Cash for protiction 3
0.1%
174 Cash for rent 5
0.1%
175 Cash for rent 5
0.1%
176 Cash for shelter 1
0%
177 Cash for shelter 2
0.1%
178 Cash for shelter repairing 6
0.2%
179 Cash protection 1
0%
180 Cash protiction 4
0.1%
181 Cash Protiction 1
0%
182 CFS 1
0%
183 Consump tion of life 1
0%
184 Consumption of life 5
0.1%
185 Consumtion of life 1
0%
186 COVID-19 1
0%
187 Covid-19 protection 1
0%
188 COVID -19 1
0%
189 Covid 19 1
0%
190 COVID 19 3
0.1%
191 Covid 19 help from refugees directory 1
0%
192 COVID19 1
0%
193 Dash for food 1
0%
194 Dastarkhwan mili 1
0%
195 Debit 4
0.1%
196 Debt 2
0.1%
197 dollar 2
0.1%
198 Dollar 16
0.4%
199 Drymilk 1
0%
200 Ds 1
0%
201 DS,BD 1
0%
202 Due to illness 1
0%
203 E.W.A 1
0%
204 Education 5
0.1%
205 ER.MC 1
0%
206 ERM assistance. 1
0%
207 Everything 1
0%
208 F W A 1
0%
209 Family expenses 1
0%
210 Family expenses and pay loan 1
0%
211 Fife Months Ago 1
0%
212 Fir help to poor people 1
0%
213 Fmp 3
0.1%
214 FMP 1
0%
215 food 17
0.5%
216 Food 159
4.3%
217 Food- nfi- rent 1
0%
218 Food-NFI 5
0.1%
219 Food 2
0.1%
220 Food and fuel consumption 1
0%
221 Food and nfi 1
0%
222 Food and non food 3
0.1%
223 Food and rent 1
0%
224 Food maney 16
0.4%
225 Food maney 41
1.1%
226 Food money 3
0.1%
227 Food, NFI and rent 1
0%
228 Food,NFI and rent 17
0.5%
229 Food,NFI and rent 1
0%
230 For 1
0%
231 For bread 1
0%
232 For money purpose 1
0%
233 For providing of her needs family. 1
0%
234 For vintrazition assistance 1
0%
235 For basic needs 3
0.1%
236 For basic needs 2
0.1%
237 For bbeing displaced 1
0%
238 For been IDP 1
0%
239 For being 1
0%
240 For being displaced 10
0.3%
241 For bread and rent 1
0%
242 For carpet weaving 1
0%
243 For cause of displacement 7
0.2%
244 For cause of displacement This family was return place of origin and didn't find any assistance in this place, they need money to repair their house. 1
0%
245 For corona virus 1
0%
246 For disabled people 1
0%
247 For displaced people 2
0.1%
248 For displaced people 2
0.1%
249 For displacement 1
0%
250 For displacement 8
0.2%
251 For eduction and health 1
0%
252 For expense 7
0.2%
253 For expense 161
4.3%
254 For expense 1
0%
255 For family expenses 1
0%
256 for food 11
0.3%
257 For food 3
0.1%
258 For Food 5
0.1%
259 For food items 1
0%
260 For food use 2
0.1%
261 For food use 1
0%
262 For Food use 1
0%
263 For health 1
0%
264 For health 3
0.1%
265 For help displaced people 2
0.1%
266 For help the displaced people 1
0%
267 For help to displace people 1
0%
268 For help to displaced 1
0%
269 For help to displaced people 1
0%
270 For help to poor people 2
0.1%
271 For help to poor people 2
0.1%
272 For her home needed items, and treatment 1
0%
273 For her houses food needed 1
0%
274 For her treatment 7
0.2%
275 For his daily income, daily wages 1
0%
276 For his sickness 1
0%
277 For his treatment 3
0.1%
278 For his treatment. 2
0.1%
279 for house expenses 3
0.1%
280 For multiple needs 1
0%
281 For multiple needs 4
0.1%
282 For my displacement 1
0%
283 For my displacement 21
0.6%
284 For my home needed 1
0%
285 for needs 1
0%
286 For needs 1
0%
287 for needs of life 2
0.1%
288 for other needs 8
0.2%
289 for other needs of life 1
0%
290 For our home daily expenses 1
0%
291 For our home daily needed 1
0%
292 For our home daily needed, food, rice, oil extra 1
0%
293 For own business 1
0%
294 For protection 2
0.1%
295 For providing of her needs family 2
0.1%
296 For providing of her needs family. 3
0.1%
297 For providing of thier needa. 1
0%
298 For PSN 1
0%
299 For purpose of his treatment. 1
0%
300 For recover treatment of his son 1
0%
301 for rent 1
0%
302 For rent 11
0.3%
303 For Rent 1
0%
304 For rent 109
2.9%
305 For rent house 1
0%
306 For reternee 1
0%
307 For returning from pakistan 1
0%
308 For Self protection 1
0%
309 for shilter 1
0%
310 For small business 2
0.1%
311 For small busness 3
0.1%
312 For Tailoreang 1
0%
313 For tailoring work. 1
0%
314 For the treatment of her diseases 1
0%
315 For the treatment of his diseases 1
0%
316 For the treatment of my children 2
0.1%
317 For the treatment of my daughter 1
0%
318 For the treatment of my daughter, and other home needed 1
0%
319 for treatment 3
0.1%
320 For treatment 6
0.2%
321 For treatment 1
0%
322 for treatment and food 1
0%
323 For treatment of Bibi Najia 1
0%
324 For treatment of kidney 1
0%
325 For treatment of Maryam. 1
0%
326 For treatment of sickness 1
0%
327 For Trinciport 1
0%
328 For ventalaizition asistance 1
0%
329 For ventalaizition asistenc 2
0.1%
330 For ventalaizition assistance 7
0.2%
331 For ventalazition assistance 1
0%
332 For ventrazition assistance 1
0%
333 For ventrazition assistanse 1
0%
334 For ventrization asestens 1
0%
335 For ventrization assesstens 1
0%
336 For ventrization assestens 2
0.1%
337 For vintarazitin assistance 1
0%
338 For vintarazition assistance 1
0%
339 For vintrazition asistance 1
0%
340 For vintrazition assisstance 1
0%
341 For vintrazition assistace 1
0%
342 For vintrazition assistance 29
0.8%
343 For vintraztion assistance 1
0%
344 For vintriazition assistans 1
0%
345 For vintrization assessments 1
0%
346 For vintrization assesstens 1
0%
347 For vintrization assistans 1
0%
348 For vintrization assistens 8
0.2%
349 For vintrizission assistens 1
0%
350 For vintrizition assistans 1
0%
351 For vintrizition assistens 1
0%
352 For vitrazition assistance 1
0%
353 For vitrization assistens 1
0%
354 For wenterization assistance 1
0%
355 For winterization 1
0%
356 For winterization 1
0%
357 For winterzition 4
0.1%
358 For winterzition 14
0.4%
359 For wintrizition 9
0.2%
360 For witrizition 26
0.7%
361 For witrizrtion 1
0%
362 for work 1
0%
363 for working 3
0.1%
364 From hawadis 1
0%
365 Fuel 2
0.1%
366 Fuel consumption 1
0%
367 Fuel consumption and food 2
0.1%
368 Fuel, rent, health care 2
0.1%
369 Gir famiky 1
0%
370 H 1
0%
371 Hairdressers 1
0%
372 Has been treated 6
0.2%
373 Has been treated 4
0.1%
374 Has been treated and bought food 1
0%
375 Has been treated and bought Food 1
0%
376 Has been treated and bought Food. 1
0%
377 Has been treated. 1
0%
378 He bought food and livestock 1
0%
379 He bought food and livestock. 1
0%
380 He bought food and started livestock 1
0%
381 He bought food and started livestock. 15
0.4%
382 He brought food and started livestock. 1
0%
383 He built shop 1
0%
384 He doesn't know 1
0%
385 He dosen't know 1
0%
386 He dosn't know 1
0%
387 He raised livestock 1
0%
388 He sold his mobile card for money. 1
0%
389 He treated children 1
0%
390 He treated his children 1
0%
391 he treated his children. 3
0.1%
392 He used the money given to him to suppert his children 1
0%
393 He used the money given to him to support his children 1
0%
394 He used to money given to his support his children 1
0%
395 He was selling vegetables 1
0%
396 health 36
1%
397 Health 23
0.6%
398 Health 17
0.5%
399 Health/Treatment 1
0%
400 Help 21
0.6%
401 Help 28
0.8%
402 Help for expences 1
0%
403 Help for refugees 1
0%
404 Helping for poor people 1
0%
405 Helping for poor people 1
0%
406 Helping for poor families 1
0%
407 Helping for poor families 6
0.2%
408 Helping for poor people 6
0.2%
409 Helping to poor people 1
0%
410 Her Father was killed 1
0%
411 Her husband is dead, so she is the head of her own family   1
0%
412 Hospital cash 1
0%
413 Houeshold expenses 1
0%
414 house expenses 22
0.6%
415 House expenses 2
0.1%
416 Householad expenses 1
0%
417 Household expebses 1
0%
418 Household expenses 27
0.7%
419 Human train assistance 24
0.6%
420 Humanitarian 1
0%
421 Humanitarian aids 1
0%
422 Humanitarian aid 1
0%
423 Humanitarian aids 27
0.7%
424 Humanitarian Aids 39
1%
425 Humanitarian Aids with disables 1
0%
426 Humanitarian assistance 19
0.5%
427 Humanitarian assistance 96
2.6%
428 Humanitarian assistances. 3
0.1%
429 humantrain assistance 25
0.7%
430 Humantrain assistance 1
0%
431 humantrain assistance is 1
0%
432 I ate it because of the food 4
0.1%
433 I ate it because Of the food 1
0%
434 Idp 167
4.5%
435 IDP 26
0.7%
436 In 2016 1
0%
437 IPD 1
0%
438 IRC 1
0%
439 It was assistance for shelter purpose 1
0%
440 It was for shelter in 2019 1
0%
441 Kamar Darad 1
0%
442 Komak 21
0.6%
443 Komak 6
0.2%
444 Korona viruse 1
0%
445 Laat month 1
0%
446 Last month 32
0.9%
447 Last weak 20
0.5%
448 Last Weak 1
0%
449 Last week 80
2.2%
450 Last Week 22
0.6%
451 Last week 2
0.1%
452 Last week 265 USA Dallar 1
0%
453 Last week 265 USA Dollars 4
0.1%
454 Last week ventarazation 1
0%
455 Last, week 1
0%
456 Last,week 1
0%
457 Lat week 1
0%
458 Less food was given to them 1
0%
459 Livelihood 1
0%
460 Lp 1
0%
461 LP..BN 1
0%
462 LP.BN 2
0.1%
463 Lp_BN 1
0%
464 Mashin Tailor 1
0%
465 Mashing Colths 1
0%
466 Medical test 2
0.1%
467 Medical test-food-NFI 1
0%
468 Medical test 6
0.2%
469 Medical test and food 1
0%
470 Medicine 5
0.1%
471 Medicine and sickness expences 1
0%
472 Money and foods because of being IDP 9
0.2%
473 Money and foods because of being IDP 11
0.3%
474 MPC 3
0.1%
475 MPC cash 1
0%
476 Multiple needs 15
0.4%
477 Multiple needs 15
0.4%
478 N/a 1
0%
479 N/A 30
0.8%
480 Non food 1
0%
481 NRC 1
0%
482 On month ago 1
0%
483 One week ago 7
0.2%
484 One year ago 1
0%
485 Operation 1
0%
486 Our home was damaged 1
0%
487 Our house was damaged 1
0%
488 PAN 1
0%
489 Patent treatment costs 1
0%
490 Patient 6
0.2%
491 Patient 1
0%
492 Patient treatment costs 3
0.1%
493 Patients 2
0.1%
494 Poverty 1
0%
495 Poverty 1
0%
496 psb 2
0.1%
497 psn 29
0.8%
498 Psn 5
0.1%
499 PSN 85
2.3%
500 PSN 31
0.8%
501 Purchase of food item and fuel consumption 1
0%
502 R w A 1
0%
503 R C F P 1
0%
504 R w a 1
0%
505 R w A 2
0.1%
506 R W A 22
0.6%
507 R W A 21
0.6%
508 R,W,A 1
0%
509 R.w.a 1
0%
510 R.W.A 27
0.7%
511 R.W.A 26
0.7%
512 Rasso 1
0%
513 RAW 1
0%
514 RCFP 1
0%
515 Recieved Winterzation assistance in 2009 1
0%
516 Reduce of poverty 1
0%
517 Reduce of Poverty 1
0%
518 Reduce of poverty 2
0.1%
519 Refugees help 1
0%
520 rent 1
0%
521 Rent 31
0.8%
522 Rent 8
0.2%
523 Rent ,NFI 1
0%
524 Rent and Fuel 1
0%
525 Rent assistance 1
0%
526 Rent, fuel 3
0.1%
527 Rent, health care, transportation 1
0%
528 Rent,NFI and food 1
0%
529 Respons 3
0.1%
530 Response 22
0.6%
531 Response 12
0.3%
532 RSSAO 1
0%
533 RWA 15
0.4%
534 SCOPE 1
0%
535 Sequllah was treatment 1
0%
536 She baked bread 1
0%
537 She is a widow and has no guardian. 1
0%
538 She started baked bread. 1
0%
539 She started sewing with money 1
0%
540 She started sewing with money 1
0%
541 She treated his children and bought animals 1
0%
542 Shelter assistance 1
0%
543 Shelter construction by UNHCR 1
0%
544 Sick 38
1%
545 Sick 19
0.5%
546 Sickness 23
0.6%
547 Sickness 5
0.1%
548 Sickness of daughter 1
0%
549 Sinterization 1
0%
550 Small busness 2
0.1%
551 Solution the problem of poor peoples 1
0%
552 T 2
0.1%
553 Tadawe 1
0%
554 Taeloreang 1
0%
555 Tailoring 1
0%
556 The lady's husband was a shopkeeper 1
0%
557 The moany given was used to support his children 1
0%
558 The patient 1
0%
559 Thereat 3
0.1%
560 They have food problems and winter consumption is ahead 1
0%
561 This family were IDP in the past but now they return back to place of origin, during IDPs they found assistance and now they need money to repair their shelter. 1
0%
562 To buy food and important necessities of life. 1
0%
563 To fillfull the needs of emergency 1
0%
564 To help displaced people 1
0%
565 To help for displaced people 1
0%
566 To help for displaced people 4
0.1%
567 To help for poor people 1
0%
568 To help for poor people 1
0%
569 Traetment 3
0.1%
570 Transportation 2
0.1%
571 Transportation, health care, food 1
0%
572 Tratment 30
0.8%
573 Treat ment 2
0.1%
574 Treatment 90
2.4%
575 Treatment 4
0.1%
576 Treatment of sickness 2
0.1%
577 Treatment purposes 1
0%
578 Treatmment 1
0%
579 Tretment 1
0%
580 Unhcr help 1
0%
581 UNHCR help 1
0%
582 UNHCR/WAW cash for refugees 1
0%
583 unicif 1
0%
584 Venterazation 1
0%
585 Venterization 2
0.1%
586 Vinterazation 16
0.4%
587 Vinterizatioh 1
0%
588 Vinterization 146
3.9%
589 Vinterization 16
0.4%
590 Vinterizetion 1
0%
591 Vinterzzation 1
0%
592 Vintrazition 1
0%
593 Vintrization 1
0%
594 Viterization 2
0.1%
595 Wantarazation 1
0%
596 Wantrazation 1
0%
597 Wantraztion 1
0%
598 We are IDP 3
0.1%
599 We are IDP 20
0.5%
600 Wenterization 1
0%
601 Weterization 3
0.1%
602 WFP 1
0%
603 WFP food 1
0%
604 Wiantration 4
0.1%
605 Wiantrazation 1
0%
606 Widow 1
0%
607 Widowed 2
0.1%
608 Wintaration 2
0.1%
609 Wintarazatino 1
0%
610 Wintarazation 34
0.9%
611 Wintarrization 1
0%
612 Wintartion 1
0%
613 Winter accomodation spent 1
0%
614 Winteraization 3
0.1%
615 Winteraization 1
0%
616 Winteration 1
0%
617 Winterazation 2
0.1%
618 Winterazition 1
0%
619 Winterezition 2
0.1%
620 Winterizatin 7
0.2%
621 Winterization 181
4.9%
622 Winterization 44
1.2%
623 Winterizetin 1
0%
624 Winterizetion 93
2.5%
625 Winteriztion 1
0%
626 Winterzation 2
0.1%
627 Winterzation 2
0.1%
628 Winterzetion 3
0.1%
629 Wintirezation 2
0.1%
630 Wintration 1
0%
631 Wintrazation 8
0.2%
632 Wintrezation 1
0%
633 Witerization 2
0.1%
634 Witnterization 1
0%
635 Wntarazation 1
0%
636 Working 3
0.1%
637 Working 20
0.5%
638 Zainab is treatment 1
0%
Missing value 138462
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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