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The Swaziland area survey

The Swaziland area survey

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The Swaziland area survey

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  1. The Swaziland area survey Choice Ginindza

  2. Overview • Annual crop-cutting survey • Concentrate on the measurement of areas • under each crop • Forms for collection • What happens to the data • after they have been collected

  3. Each enumerator has a copy of this guide

  4. Holding layout sketch plan Field 2 60% maize, 40% pumpkins Field 3 beans Field 4 maize Field 1 Maize

  5. Symbols for the sketch plan

  6. Field area measurements 1 2 2 0 1 0 5 2 0 1 113 100 112 60 139 40 125 50 27.5 0.85 0.25

  7. Area in each field 01 Maize 100% 113 0.85 02 M 60% Pk 40% 112 139 03 Beans 100% 131 0.53 04 Maize 100% 113 0.98

  8. Total crop area 0.151.83 0.610.53

  9. Other information is also recorded

  10. Plus household information

  11. What happens next? • 75 staff collect these area data • between November and January each year • The completed forms are sent to me in HQ • there are about 2000 forms each year • it is one form per household, unless a household has more than 12 fields • The forms are checked for consistency • before being sent for data entry • They are then sent for data entry • By the end of January

  12. Then – the data are entered • Special software is used for the data entry • It is called CSPRO • and is designed specially for data entry • A headquarters' staff member • has programmed CSPRO • to make the data entry screen • the same as the data entry form • There are 7 staff • in the Government data entry team • and I add 2 of my staff just for this work • It takes about 2 weeks

  13. Checking the data once entered • The resulting computer files • are returned to me • I first look at them in an editor • it is called OX-edit and is just like Notepad • that is on every computer • I use the editor to look for “shifts” • in the data from CSPRO • one character missing can make the transfer • to Excel or a statistics package very odd • That checking just takes an hour perhaps

  14. The data now • Then I open the data in SPSS • That is a commonly used statistics package • They look the same in Excel – • as shown on the next slide • There are now 3945 records, • each one is a crop within a household. • Plus the household information

  15. Crop area information

  16. Household information

  17. Checking in SPSS • I check the data in SPSS • That typically takes one day • I also have the paper records available • And check odd values against them • I correct in SPSS (and Ox-Edit) • Sometimes records are returned • to the data entry people • and there is a further round • Typically we find problems with 10 to 30 records

  18. Analysis • Now I analyse the data using SPSS • That takes perhaps 1 day • The most important is maize, • so that is done first. • I get results from each Enumeration area • And then total them for each district • I compare with the previous year • as another check • I then export the summaries from SPSS to Excel

  19. Results • Here is the sort of table I get.

  20. Reporting • This information is then sent • to our Meteorological Service • They have to be there by the end of February • The met service estimates yields • And these estimates are multiplied • by these areas • To give the estimated production

  21. Publishing • The estimates are then in a monthly • agroclimatic bulletin • Which is part of our NEW system • NEW = National Early Warning • to provide the food-balance sheet • for the current year • Later we produce our own report • once we have the yields as well