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How to get data for small areas: Example: Regency of Bangli in the province of Bali, from the 2010 and 2000 census samples of Indonesia 1.Login 2.Browse.

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Presentation on theme: "How to get data for small areas: Example: Regency of Bangli in the province of Bali, from the 2010 and 2000 census samples of Indonesia 1.Login 2.Browse."— Presentation transcript:

1 How to get data for small areas: Example: Regency of Bangli in the province of Bali, from the 2010 and 2000 census samples of Indonesia 1.Login 2.Browse and Select Data 3.Select samples: Indonesia 2000 & 2010 4.Select variables (include Regency, RGCYID ) 5.Select cases: = “Bangli” 6.Submit extract request 7.Download extract to your computer 8.Analyze data using your statistics software For this and other tutorials: http://www.hist.umn.edu/~rmccaa/IPUMSI click “tutorials” (in left frame) http://www.hist.umn.edu/~rmccaa/IPUMSI https://international.ipums.org/international 1

2 1. Login: a. click “Login” on home page b. Click “Login” on registration page c. Submit registered email address & password 2

3 Click “Select Data” Note: to revise a prior extract, click “Saved Extracts” Click “Select Data”. Note: to revise a prior extract, click “Saved extracts” 3

4 First, click here, to select samples (the default is “all samples in the database”) 2a. Integrated Metadata: Variables Menu Only start here if you wish to see variables for all samples 4

5 2b. Select Samples: Scroll down to Indonesia click years and “submit sample selections” Scroll down to “Indonesia” Click “2010” and “2000” boxes to select samples for these censuses. 5

6 Step 3a. Select Variables: Mouse-over “Household”, then click “Geography” Mouse-over household for drop down menu, then click “Geography” 6

7 Step 3b. Select variables, including RGCYID (Regency, Indonesia) Click box beside “RGCYID” to select “Regency, Indonesia” variable for cart Click “Codes” to view a list of the regencies in “RGCYID” 7

8 3c. After RGCYID, select other variables, When finished selecting variables, Click “View Cart” to go to next step. 8

9 Step 3d. Review selections. Add/remove variables/samples. Click “Create data extract” 9

10 Step 4. Customize Extract: “Data format” and “Select Cases” Click here to select cases (by RGCYID). 10

11 Step 4a. Select cases: select the variables which will be used to select cases. Here we chose “RGCYID” Click here, to select persons by Regency of residence 11

12 Step 4b. Select Bangli, the Regency to study, and click “Submit” Standard mouse conventions apply. To make more than one selection, hold and press left mouse button. 12

13 Describe the extract to make it identifiable to you. If someday you wish to revise it, you may recall what the extract is about. Step 5a. Submit extract Optional: Data Format, Description, etc. 13 Click here to select SPSS, SAS, or STATA format

14 Select a preferred data format: STATA, SPSS, SAS, cvs or the default: fixed solumn width Optional, prior screen: “change” data format Make choice here and click “Submit”

15 Step 5b. Extract confirmation. Wait for email to download extract. Note: Once the extract is confirmed, Data Cart is now emptied. 15

16 6a. Email notification to retrieve extract (< 4 minutes). Click the link and login. Note: For citation, acknowledge both MPC and the statistical office that provided microdata 16

17 Step 6b. Click to download extract and metadata (“DDI”, basic or command files). Note: Click “SPSS” to download system file. Also download metadata and fixed column data, as desired. 17

18 Step 7. Unzip and analyze 10% sample Would a 1% sample suffice to analyze Bangli? Educational Attainment by Gender and Age, Bangli, Indonesia: 2000 and 2010 census year 2000 2010 Age, yearsEducational attainmentMaleFemaleMaleFemale 10-14Less than primary completed66.2% 57.9%56.1% Primary completed33.8% 42.1%43.9% N878720898890 15-19Less than primary completed6.8%7.3%3.9%6.0% Primary completed83.2%85.4%81.2%80.2% Secondary completed10.0%7.3%14.9%13.7% N970809770662 20-24Less than primary completed8.0%8.3%5.9%6.3% Primary completed61.9%72.4%52.7%57.9% Secondary completed30.0%19.2%39.7%32.5% University completed0.1%0.0%1.7%3.2% N861852658679 Source: Minnesota Population Center. Integrated Public Use Microdata Series, International: Version 6.1 [Machine-readable database]. Minneapolis: University of Minnesota, 2011 and BPS Statistics Indonesia. Is there gender discrimination in education in Bangli? (some) Is the female disadvantage decreasing over time? (yes) Policy: most critical need is to improve educational access for all. 18

19 How to get data for small areas: Example: Regency of Bangli in the province of Bali, from the 2010 and 2000 census samples of Indonesia 1.Login 2.Select samples (Indonesia 2000 & 2012) 3.Select variables (include Regency, RGCYID ) 4.Select cases: = “Bangli” 5.Submit extract request 6.Download extract to your computer 7.Analyze data using your statistics software For this and other tutorials: http://www.hist.umn.edu/~rmccaa/IPUMSI click “7 tutorials” http://www.hist.umn.edu/~rmccaa/IPUMSI https://international.ipums.org/international 19


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