In Rwanda, we have tried to keep things simple by entering only total 
population figures for province, district, sector and health facility levels 
for each year.

We have then created indicators for each of the major target population groups 
by using census breakdowns and multiplying the total population by the 
following factors (we're still waiting for results of 2012 census to update 
some of these):

Children 0 - 11 months

4.10%

Children 1 - 4 years

12.10%

Children 5 - 14 years

27.50%

Children < 15 years

43.70%

Population >= 15 years

56.30%

Children under 5 years

16.20%

Expected Pregnancies

4.10%

Women of reproductive age

23.60%

If your administrative units are very diverse this approach might not work, but 
it certainly simplifies analysis and people are less inclined to use smaller 
denominators to make their performance look better.

Randy

From: [email protected] 
[mailto:[email protected]] On Behalf Of 
Rodolfo Melia
Sent: Tuesday, March 26, 2013 6:11 PM
To: Paulo Grácio
Cc: [email protected]
Subject: Re: [Dhis2-users] Population Definition

So far (I'm only doing tests, no yet in production), I have imported population 
data using a dataset with annual data collection, populating 2012, 13 and 14 
with the same data, so I can do indicator calculations on those years.

For your case, I will create 3 data elements, each one associated to a category 
combination for Age, Gender and Area.

Rodolfo
On Tue, Mar 26, 2013 at 3:53 PM, Paulo Grácio 
<[email protected]<mailto:[email protected]>> wrote:
Hello,

I'm trying to figure out the best way to define population in a way that it can 
be used to calculate indicators. We have population values, lowest level is 
District, aggregated by age(0-5; 5-20;20-60;60+), gender(male, female) and 
area(rural, urban).

Based on you experience what do you consider to be the best approach for this?

Kind regards,
Paulo Grácio


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