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| urban-rural variable [message #4226] |
Tue, 21 April 2015 10:14  |
menonidhi
Messages: 1
Registered: April 2015
Location: India
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In my study, I have two variables - V025: which classifies place of residence as Urban/Rural and S025: which classifies residence as Mega city/Large City/Small City/Large Town/Small town/Rural.
I was able to extract the former only for females. To check if I could could substitute V025 with S025( which I was able to extract for both the sexes), I checked the distribution of urban and rural population among females. I clubbed the values of Mega city/Large City/Small City/Large Town/Small town as Urban.
I however observe few discrepancies. The number of females in the urban area is 18,442 and rural is 20,815. In the second variable, the number of females in rural area is 23,529. I have summed the values of mega city,large city,small city, large town and small town which comes to 15,728.
I observe an exact difference of 2,714 i.e. (23,529-20,815=2714) and (18,442-15,728 =2,714). I have attached my results for any reference for the values mentioned above.
Is there a reason for this difference.
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| Re: urban-rural variable [message #4243 is a reply to message #4226] |
Fri, 24 April 2015 15:21  |
Trevor-DHS
Messages: 803
Registered: January 2013
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Senior Member |
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It wasn't very clear from your explanation which survey and datasets you are using, but it appears that you are using the HIV tests results data, matched with other datasets. However it appears that there is a problem with the matching of your data. I would expect the number of women and men to be roughly equal, but you have twice as many men as women. Below is a short piece of code for matching with the persons recode file, and for checking the sex distribution:
cd "C:\Data\DHS_Stata"
use "IAPR52FL.dta"
clonevar hivclust = hv001
clonevar hivnumb = hv002
clonevar hivline = hvidx
merge 1:1 hivclust hivnumb hivline using "IAAR51FL.dta"
keep if _merge==3
tab hv104
tab hv025
tab sh025
tab sh025 hv025
From this, I received the following output:
. tab hv104
sex of |
household |
member | Freq. Percent Cum.
------------+-----------------------------------
male | 51,641 48.88 48.88
female | 54,016 51.12 100.00
------------+-----------------------------------
Total | 105,657 100.00
. tab hv025
type of |
place of |
residence | Freq. Percent Cum.
------------+-----------------------------------
urban | 52,697 49.88 49.88
rural | 52,960 50.12 100.00
------------+-----------------------------------
Total | 105,657 100.00
. tab sh025
city\town\c |
ountryside | Freq. Percent Cum.
------------+-----------------------------------
mega city | 8,696 8.23 8.23
large city | 21,989 20.81 29.04
small city | 6,352 6.01 35.05
large town | 1,671 1.58 36.64
small town | 13,989 13.24 49.88
rural | 52,960 50.12 100.00
------------+-----------------------------------
Total | 105,657 100.00
. tab sh025 hv025
city\town\ | type of place of
countrysid | residence
e | urban rural | Total
-----------+----------------------+----------
mega city | 8,696 0 | 8,696
large city | 21,989 0 | 21,989
small city | 6,352 0 | 6,352
large town | 1,671 0 | 1,671
small town | 13,989 0 | 13,989
rural | 0 52,960 | 52,960
-----------+----------------------+----------
Total | 52,697 52,960 | 105,657
Also, as you can see the recoding of urban and rural makes sense in the last table.
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