Encuesta Permanente de Hogares 2014
Paraguay, 2014
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
9847
Gs. pagó por esta enfermedad/accidente por Medicamentos (S10B)
Data file: baa59r02_eph2014
Overview
Valid:
5112
Invalid:
15160
Type:
Discrete
Decimal:
0
Start:
477
End:
485
Width:
9
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 500 | |
| 1000 | |
| 1500 | |
| 2000 | |
| 2500 | |
| 2800 | |
| 3000 | |
| 3500 | |
| 3800 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 16000 | |
| 16500 | |
| 16600 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18400 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 19800 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 27750 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 35500 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 39500 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 45900 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 48300 | |
| 49000 | |
| 49500 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59000 | |
| 59500 | |
| 60000 | |
| 61000 | |
| 62000 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 67000 | |
| 68000 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 75000 | |
| 77000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 81000 | |
| 82000 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 87000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 92000 | |
| 93000 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 98000 | |
| 99000 | |
| 100000 | |
| 105000 | |
| 108000 | |
| 110000 | |
| 112000 | |
| 114000 | |
| 115000 | |
| 118000 | |
| 120000 | |
| 123000 | |
| 125000 | |
| 129000 | |
| 130000 | |
| 132500 | |
| 134000 | |
| 135000 | |
| 136000 | |
| 137000 | |
| 138000 | |
| 139000 | |
| 140000 | |
| 145000 | |
| 146000 | |
| 147000 | |
| 150000 | |
| 155000 | |
| 160000 | |
| 163000 | |
| 165000 | |
| 166000 | |
| 169000 | |
| 170000 | |
| 172000 | |
| 173000 | |
| 174000 | |
| 175000 | |
| 180000 | |
| 185000 | |
| 186000 | |
| 190000 | |
| 193000 | |
| 198000 | |
| 200000 | |
| 208000 | |
| 210000 | |
| 220000 | |
| 228000 | |
| 230000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 260000 | |
| 270000 | |
| 280000 | |
| 282000 | |
| 287100 | |
| 290000 | |
| 299000 | |
| 300000 | |
| 310000 | |
| 319000 | |
| 320000 | |
| 325000 | |
| 330000 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 371000 | |
| 380000 | |
| 390000 | |
| 400000 | |
| 402000 | |
| 405000 | |
| 420000 | |
| 430000 | |
| 435000 | |
| 450000 | |
| 480000 | |
| 490000 | |
| 500000 | |
| 510000 | |
| 520000 | |
| 530000 | |
| 550000 | |
| 558000 | |
| 570000 | |
| 580000 | |
| 600000 | |
| 630000 | |
| 650000 | |
| 670000 | |
| 700000 | |
| 750000 | |
| 780000 | |
| 790000 | |
| 800000 | |
| 850000 | |
| 880000 | |
| 890000 | |
| 900000 | |
| 950000 | |
| 1000000 | |
| 1090000 | |
| 1200000 | |
| 1350000 | |
| 1400000 | |
| 1500000 | |
| 1700000 | |
| 1800000 | |
| 2000000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2800000 | |
| 3000000 | |
| 3010000 | |
| 3600000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 6000000 | |
| 6750000 | |
| 7000000 | |
| 10000000 | |
| 999999999 | nr |
| Sysmiss |
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.