Maternal Health Services and Maternal Mortality Survey 2001
Bangladesh, 2001
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
5247
- Data Files
- agriculture_hhlevel
- bookbread_cl
- bookchecklist_cl
- bookdaily_cl
- bookfoodeaten_cl
- bookmetadata_cl
- booknonpurchased_cl
- check_form_food_cl
- communication_cl
- communication_mobile_cl
- community_all
- community_dups
- dwellinga_cl
- dwellingb_cl
- dwellingc1_cl
- dwellingc2_cl
- dwellingc3_cl
- educationa_cl
- educationb_cl
- educationc_cl
- fertility_cl
- filters
- filters_cl
- healtha_cl
- healthb_cl
- household_rostera_cl
- household_rosterb_cl
- id_agric_household_animals_cl
- id_agric_household_cl
- identification
- identification_cl
- laboura_cl
- labourb_cl
- labourc_cl
- labourd_cl
- migrationa_cl
- migrationb2_cl
- migrationb_cl
- migrationc_cl
- migrationd2_cl
- migrationd_cl
- migratione_cl
- non_farm_business_cl
- non_farm_business_first_cl
- non_food_expendituresa_cl
- non_food_expendituresb_cl
- non_food_expendituresc_cl
- other_income_cl
- part1_roster_a
- part1_roster_b
- part2_roster
- part3_roster
- part4_roster
- part5_roster
- part6_roster
- part7_roster
- part8_roster_a
- part8_roster_b
- part9_roster_a
- part9_roster_b
- part10_roster
- part11_roster
- poverty
- section2_cl
- social_assistance_cl
- social_capital_cl
- subjective_poverty_cl
- weights_cl
- weights_psu
Amount paid for certificate (V66)
Data file: dwellinga_cl
Overview
Valid:
880
Invalid:
2960
Minimum:
0
Maximum:
9999997
Type:
Discrete
Decimal:
0
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 400 | |
| 1000 | |
| 2000 | |
| 2700 | |
| 3000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 8000 | |
| 9000 | |
| 9500 | |
| 9800 | |
| 10000 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 32000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 60000 | |
| 62000 | |
| 65000 | |
| 70000 | |
| 72000 | |
| 73000 | |
| 74000 | |
| 75000 | |
| 78000 | |
| 80000 | |
| 82000 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 90000 | |
| 93000 | |
| 95000 | |
| 96000 | |
| 100000 | |
| 120000 | |
| 128000 | |
| 130000 | |
| 135000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 200000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 270000 | |
| 280000 | |
| 300000 | |
| 340000 | |
| 350000 | |
| 380000 | |
| 400000 | |
| 500000 | |
| 650000 | |
| 800000 | |
| 1000000 | |
| 9999997 | Don't know/Refused to answer |
| 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.