National Survey on Drug Use and Health 2016-2017
First round
Nigeria, 2016 - 2017
Get Microdata
Reference ID
NGA-NBS-NDUS-2016-2017-v01
Producer(s)
National Bureau of Statistics (NBS), Centre for Research and Information on Substance Abuse (CRISA)
Metadata
Created on
Mar 19, 2021
Last modified
Mar 19, 2021
Page views
707250
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20015
NUMBERS OF DRUG USERS ARRESTED IN YOUR AREA (E3Drug_Arrest)
Data file: KEY INFORMANT DATA
Overview
Valid:
1047
Invalid:
1741
Type:
Discrete
Decimal:
0
Start:
1988
End:
1990
Width:
3
Range:
1 - 500
Format:
Numeric
Questions and instructions
Question pretext
As I had mentioned in the last section, we are trying to build up a picture of drug use in the country. In this section, I will ask you some questions about how common different patterns of drug use are in your area. Don’t worry if you can not give an exact response to questions, your best guess is OK. The next questions are about drug users of e.g. Marijuana, Cocaine, Heroin, Tramadol, etc.
We would like to know something about the proportion of drug users who are arrested and charged each year.
We would like to know something about the proportion of drug users who are arrested and charged each year.
Literal question
Thinking of all the different types of drug users (we have talked about) with whom you have had contact over the last 12 months, how many would you think have been arrested during the last 12 months for drug related charges?
Don’t worry if you cannot give an exact response to questions, your best guess is OK, but if you have no idea at all then please say so and I will continue with the next question.
Don’t worry if you cannot give an exact response to questions, your best guess is OK, but if you have no idea at all then please say so and I will continue with the next question.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 3 |
0.3%
|
|
| 2 | 61 |
5.8%
|
|
| 3 | 33 |
3.2%
|
|
| 4 | 21 |
2%
|
|
| 5 | 48 |
4.6%
|
|
| 6 | 19 |
1.8%
|
|
| 7 | 10 |
1%
|
|
| 8 | 19 |
1.8%
|
|
| 9 | 4 |
0.4%
|
|
| 10 | 87 |
8.3%
|
|
| 11 | 3 |
0.3%
|
|
| 12 | 13 |
1.2%
|
|
| 13 | 5 |
0.5%
|
|
| 14 | 1 |
0.1%
|
|
| 15 | 31 |
3%
|
|
| 16 | 4 |
0.4%
|
|
| 17 | 4 |
0.4%
|
|
| 18 | 3 |
0.3%
|
|
| 19 | 1 |
0.1%
|
|
| 20 | 49 |
4.7%
|
|
| 22 | 1 |
0.1%
|
|
| 23 | 1 |
0.1%
|
|
| 24 | 1 |
0.1%
|
|
| 25 | 9 |
0.9%
|
|
| 28 | 1 |
0.1%
|
|
| 30 | 27 |
2.6%
|
|
| 33 | 1 |
0.1%
|
|
| 34 | 2 |
0.2%
|
|
| 35 | 9 |
0.9%
|
|
| 36 | 1 |
0.1%
|
|
| 40 | 24 |
2.3%
|
|
| 42 | 1 |
0.1%
|
|
| 45 | 12 |
1.1%
|
|
| 48 | 1 |
0.1%
|
|
| 50 | 39 |
3.7%
|
|
| 55 | 1 |
0.1%
|
|
| 56 | 1 |
0.1%
|
|
| 57 | 1 |
0.1%
|
|
| 60 | 20 |
1.9%
|
|
| 63 | 1 |
0.1%
|
|
| 68 | 1 |
0.1%
|
|
| 70 | 17 |
1.6%
|
|
| 75 | 3 |
0.3%
|
|
| 76 | 1 |
0.1%
|
|
| 80 | 7 |
0.7%
|
|
| 85 | 6 |
0.6%
|
|
| 87 | 1 |
0.1%
|
|
| 90 | 10 |
1%
|
|
| 95 | 1 |
0.1%
|
|
| 99 | DON'T KNOW | 369 |
35.2%
|
| 100 | 14 |
1.3%
|
|
| 110 | 1 |
0.1%
|
|
| 130 | 1 |
0.1%
|
|
| 145 | 1 |
0.1%
|
|
| 150 | 4 |
0.4%
|
|
| 180 | 1 |
0.1%
|
|
| 190 | 1 |
0.1%
|
|
| 200 | 10 |
1%
|
|
| 205 | 1 |
0.1%
|
|
| 213 | 1 |
0.1%
|
|
| 250 | 2 |
0.2%
|
|
| 300 | 4 |
0.4%
|
|
| 350 | 1 |
0.1%
|
|
| 400 | 9 |
0.9%
|
|
| 500 | 7 |
0.7%
|
|
| Sysmiss | 1741 |
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.