Survei Rumah Tangga Pedesaan 2014
Indonesia, 2014 - 2015
Get MicrodataCreated on
Jun 26, 2017
Last modified
Jun 26, 2017
Page views
38642
Downloads
913
- Data files
- BUKU1_FLAT
- BUKU1_PAP3
- BUKU1_DN2
- BUKU1_PD2
- BUKU1_PD3
- BUKU1_PD4
- BUKU1_FKS
- BUKU1_FKS2
- BUKU1_FPD
- BUKU1_AS
- BUKU1_TR
- BUKU1_KE2
- BUKU1_CP_RST
- BUKU2_FLAT
- BUKU2_PD
- BUKU2_FKS
- BUKU2_FPD
- BUKU2_AS1
- BUKU2_TR
- BUKU2_GE
- BUKU2_MI1
- BUKU2_KE6
- BUKU2_CP_RST
- BUKU3_FLAT
- BUKU3_AR1
- BUKU3_PB
- BUKU3_RJ
- BUKU3_KS1
- BUKU3_KS3
- BUKU3_UT2
- BUKU3_NT2
- BUKU3_HR1
- BUKU3_HR2
- BUKU3_PH
- BUKU3_P1
- BUKU3_GE
- BUKU3_JS1
- BUKU3_JS3
- BUKU3_PK
- BUKU3_CP
- BUKU4_FLAT
- BUKU4_CP_RST
- BUKU5_FLAT
- BUKU5_KW2
- BUKU5_PM2
- BUKU5_JS
- BUKU5_JS33
- BUKU5_JS4
- BUKU5_KM
- BUKU5_CP_RST
- BUKU6_FLAT
- BUKU6_POS2
- BUKU6_DLA2
- BUKU6_DLA3
- BUKU6_CP_RST
- FL_FLAT
- FL_RST
- FT_FLAT
- FT_RST
- PR_FLAT
- PR_RST
- BUKU5_JS5
- BUKU5_JS6
Total kerugian akibat gangguan ekonomi (ge04)
Data file: BUKU3_GE
Overview
Valid:
776
Invalid:
22809
Minimum:
30000
Maximum:
200000000
Type:
Discrete
Decimal:
0
Width:
11
Range:
-
Format:
Questions and instructions
Literal question
Total kerugian yang terkait [...] selama 12 bulan terakhir?
Categories
| Value | Category |
|---|---|
| 30000 | |
| 40000 | |
| 50000 | |
| 60000 | |
| 100000 | |
| 105000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 175500 | |
| 180000 | |
| 190000 | |
| 195000 | |
| 200000 | |
| 220000 | |
| 225000 | |
| 240000 | |
| 247000 | |
| 250000 | |
| 270000 | |
| 280000 | |
| 300000 | |
| 320000 | |
| 325000 | |
| 350000 | |
| 360000 | |
| 400000 | |
| 420000 | |
| 450000 | |
| 480000 | |
| 500000 | |
| 520000 | |
| 536000 | |
| 540000 | |
| 580000 | |
| 581000 | |
| 590000 | |
| 595000 | |
| 600000 | |
| 640000 | |
| 650000 | |
| 660000 | |
| 675000 | |
| 700000 | |
| 720000 | |
| 735000 | |
| 750000 | |
| 774000 | |
| 780000 | |
| 800000 | |
| 810000 | |
| 825000 | |
| 900000 | |
| 950000 | |
| 1000000 | |
| 1125000 | |
| 1200000 | |
| 1250000 | |
| 1300000 | |
| 1350000 | |
| 1400000 | |
| 1425000 | |
| 1440000 | |
| 1500000 | |
| 1575000 | |
| 1600000 | |
| 1620000 | |
| 1700000 | |
| 1750000 | |
| 1800000 | |
| 1880000 | |
| 1920000 | |
| 2000000 | |
| 2025000 | |
| 2060000 | |
| 2080000 | |
| 2100000 | |
| 2115000 | |
| 2200000 | |
| 2250000 | |
| 2300000 | |
| 2340000 | |
| 2400000 | |
| 2475000 | |
| 2500000 | |
| 2520000 | |
| 2650000 | |
| 2700000 | |
| 2800000 | |
| 2880000 | |
| 2925000 | |
| 3000000 | |
| 3030000 | |
| 3200000 | |
| 3400000 | |
| 3420000 | |
| 3440000 | |
| 3500000 | |
| 3600000 | |
| 3750000 | |
| 3800000 | |
| 3900000 | |
| 4000000 | |
| 4300000 | |
| 4320000 | |
| 4365000 | |
| 4400000 | |
| 4500000 | |
| 4600000 | |
| 4800000 | |
| 5000000 | |
| 5040000 | |
| 5400000 | |
| 5450000 | |
| 5500000 | |
| 5860000 | |
| 6000000 | |
| 6250000 | |
| 6400000 | |
| 6500000 | |
| 7000000 | |
| 7200000 | |
| 7500000 | |
| 7600000 | |
| 7750000 | |
| 7800000 | |
| 8000000 | |
| 8400000 | |
| 9000000 | |
| 9600000 | |
| 9900000 | |
| 10000000 | |
| 10200000 | |
| 11000000 | |
| 11400000 | |
| 11500000 | |
| 12000000 | |
| 12150000 | |
| 12500000 | |
| 12800000 | |
| 15000000 | |
| 15600000 | |
| 15750000 | |
| 16000000 | |
| 16200000 | |
| 16750000 | |
| 17000000 | |
| 20000000 | |
| 21250000 | |
| 21600000 | |
| 22500000 | |
| 24000000 | |
| 25200000 | |
| 27000000 | |
| 28800000 | |
| 30000000 | |
| 35000000 | |
| 36000000 | |
| 37000000 | |
| 40000000 | |
| 48000000 | |
| 50000000 | |
| 80000000 | |
| 100000000 | |
| 160000000 | |
| 200000000 | |
| 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.