National Household Survey 2016-2017
Uganda, 2016 - 2017
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
36440
Downloads
418
- Data files
- conversion2016.dta
- CSEC1.dta
- CSEC1c.dta
- CSEC1d.dta
- CSEC1dB10.dta
- CSEC2A.dta
- CSEC2B.dta
- CSEC2C.dta
- CSEC2D.dta
- CSEC2DD.dta
- CSEC3.dta
- CSEC8.dta
- CSEC9.dta
- CSEC10.dta
- CSEC11a.dta
- CSEC11b.dta
- GSEC1.dta
- GSEC2.dta
- GSEC3.dta
- GSEC4.dta
- GSEC5.dta
- GSEC6b.dta
- GSEC6c.dta
- GSEC6c_1.dta
- GSEC6d.dta
- GSEC6e.dta
- GSEC7a.dta
- GSEC7b.dta
- GSEC7c.dta
- GSEC9.dta
- GSEC10A.dta
- GSEC10B.dta
- GSEC11.dta
- GSEC12.dta
- GSEC12B.dta
- GSEC12C.dta
- GSEC12D.dta
- GSEC13a.dta
- GSEC13b.dta
- Labour.dta
- Market.dta
- pov16.dta
- pov16_rev1.dta
- tenp1.dta
- tenp2.dta
- tenp3.dta
- tenp4.dta
(itmcd)
Data file: GSEC6d.dta
Overview
Valid:
139986
Invalid:
-
Minimum:
201
Maximum:
7024
Type:
Discrete
Decimal:
0
Start:
7
End:
10
Width:
4
Range:
201 - 7024
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 201 | Men’s clothing- new | 4178 |
3%
|
| 202 | Women’s clothing –new | 4717 |
3.4%
|
| 203 | Children’s clothing (excluding school uniforms)-new | 4875 |
3.5%
|
| 205 | Tailoring and Materials | 2938 |
2.1%
|
| 206 | Men’s Footwear | 4509 |
3.2%
|
| 207 | Women’s Footwear | 5609 |
4%
|
| 208 | Children’s Footwear | 5442 |
3.9%
|
| 209 | Other Footwear and repairs | 3556 |
2.5%
|
| 301 | Furniture Items | 1658 |
1.2%
|
| 302 | Carpets, mats, etc | 1659 |
1.2%
|
| 303 | Curtains, etc | 1954 |
1.4%
|
| 304 | Bedding Mattresses | 1708 |
1.2%
|
| 305 | Blankets | 1857 |
1.3%
|
| 306 | Others and Repairs | 311 |
0.2%
|
| 401 | Appliances: Electric iron, / Kettles, Refrigerator etc | 189 |
0.1%
|
| 402 | Charcoal and Kerosene Stoves | 975 |
0.7%
|
| 403 | Electronic Equipment | 349 |
0.2%
|
| 404 | Bicycles | 241 |
0.2%
|
| 405 | Radio | 1002 |
0.7%
|
| 406 | Motors, Pick-ups, etc | 36 |
0%
|
| 407 | Motor cycles | 168 |
0.1%
|
| 408 | Computers for household use | 50 |
0%
|
| 409 | Phone | 953 |
0.7%
|
| 410 | Other equipment and repairs | 177 |
0.1%
|
| 411 | Jewelry, Watches, clocks etc | 852 |
0.6%
|
| 501 | Plastic basins | 5824 |
4.2%
|
| 502 | Plastic plates/ tumblers | 3111 |
2.2%
|
| 503 | Jerry cans and plastic buckets | 4341 |
3.1%
|
| 504 | Enamel and metallic utensils | 1498 |
1.1%
|
| 505 | Switches, plugs, cables, etc | 191 |
0.1%
|
| 506 | Others and repairs | 226 |
0.2%
|
| 602 | Boarding and Lodging | 597 |
0.4%
|
| 603 | School uniform | 5405 |
3.9%
|
| 604 | Books and supplies | 9460 |
6.8%
|
| 606 | Total education expenses | 0 |
0%
|
| 607 | Costs to and from school | 2115 |
1.5%
|
| 701 | Expenditure on household functions | 859 |
0.6%
|
| 702 | Insurance Premiums (heading) | 7 |
0%
|
| 703 | Other services N.E.S. | 544 |
0.4%
|
| 2011 | Men’s clothing- second hand | 2030 |
1.5%
|
| 2012 | 2781 |
2%
|
|
| 2021 | Women’s clothing –second hand | 2465 |
1.8%
|
| 2022 | 3180 |
2.3%
|
|
| 2031 | Children’s clothing (excluding school uniforms)- Second hand | 2299 |
1.6%
|
| 2032 | 3636 |
2.6%
|
|
| 2041 | Other clothing and clothing materials/hiring of clothing materials | 1612 |
1.2%
|
| 3031 | Bed sheets | 5294 |
3.8%
|
| 4012 | Home theatres, DVDs, Decks CD players | 53 |
0%
|
| 4021 | Electric/Gas cooker | 35 |
0%
|
| 4031 | Flash disks, CDs | 209 |
0.1%
|
| 4091 | Phone Handsets fixed | 47 |
0%
|
| 4092 | Phone Handsets mobile | 934 |
0.7%
|
| 5041 | Spoons/Knives/Forks | 2043 |
1.5%
|
| 5042 | Saucepan/cook-pot/pressure cooker/thermal cooker etc | 3128 |
2.2%
|
| 6011 | School fees | 7786 |
5.6%
|
| 6012 | Registration fees | 2890 |
2.1%
|
| 6013 | Exam fees | 5585 |
4%
|
| 6051 | Other educational expenses | 5041 |
3.6%
|
| 6052 | Expenses in day care facility | 302 |
0.2%
|
| 6053 | Expenses not broken down | 4204 |
3%
|
| 7021 | Insurance connected to health | 34 |
0%
|
| 7022 | Third party insurance | 163 |
0.1%
|
| 7023 | Education insurance | 0 |
0%
|
| 7024 | Funeral insurance | 94 |
0.1%
|
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.