OpenCRVS
v1.2
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3.2.2.2 Prepare source file for statistics

Next you need to prepare your statistics source file. This is a csv file for the statistical parameters that are used to calculate performance metrics and completeness rates. You can import and create csv files in Excel or Google Drive. Using our farajaland-statistics.csv, bangladesh-statistics.csv or jamaica-statistics.csv files as an example, download and create a new csv file with the statistical information for your country.
adminPcode
name
male_population_2007
female_population_2007
population_2007
crude_birth_rate_2007
male_population_2008
female_population_2008
population_2008
crude_birth_rate_2008
male_population_2009
female_population_2009
population_2009
crude_birth_rate_2009
male_population_2010
female_population_2010
population_2010
crude_birth_rate_2010
male_population_2011
female_population_2011
population_2011
crude_birth_rate_2011
male_population_2012
female_population_2012
population_2012
crude_birth_rate_2012
male_population_2013
female_population_2013
population_2013
crude_birth_rate_2013
male_population_2014
female_population_2014
population_2014
crude_birth_rate_2014
male_population_2015
female_population_2015
population_2015
crude_birth_rate_2015
male_population_2016
female_population_2016
population_2016
crude_birth_rate_2016
male_population_2017
female_population_2017
population_2017
crude_birth_rate_2017
male_population_2018
female_population_2018
population_2018
crude_birth_rate_2018
male_population_2019
female_population_2019
population_2019
crude_birth_rate_2019
male_population_2020
female_population_2020
population_2020
crude_birth_rate_2020
male_population_2021
female_population_2021
population_2021
crude_birth_rate_2021
AWn3s2RqgAN
Central
177555
170774
348377
19.4
181676
175555
357291
19.6
188087
181116
369261
18.8
189251
182171
371480
17.6
191308
183928
375281
16.6
197533
190359
387958
17.9
143825
141233
285059
17.6
145664
142059
287723
19.3
149012
146810
295822
17.7
151786
149045
300831
16.6
152859
150197
303057
18.2
155068
139186
294255
16.9
152874
144456
297331
17.3
163391
148928
312320
17.6
387162
299071
686233
6.99
KozcEjeTyuD
Sulaka
201028
186018
387046
19
201079
187184
388263
21.1
205044
189817
394861
17.6
207035
192464
399499
18.6
213349
199019
412368
20.3
213774
197747
411521
19
187272
180532
367806
18
175569
173179
348750
18.7
305507
306748
612257
19.7
309110
309404
618515
21.6
292729
289899
582630
20.1
303743
320864
624608
20
347497
306895
654393
18.1
365242
330116
695358
16.7
356247
297534
653781
17.9
B1u1bVtIA92
Pualula
245834
229646
475481
21
245920
228128
474048
22.7
252761
234940
487701
19
253865
236282
490147
19.5
260700
241754
502454
19.2
264423
245103
509534
18
267310
259051
526363
18.8
261220
257310
518530
19.4
280519
275429
555948
18.8
284831
280377
565210
20.1
278730
273515
552247
17.6
285236
269631
554868
17.2
300896
285807
586704
15.1
269712
303358
573070
15.3
260244
308373
568617
16.1
Do not change or re-format the header row as the import script requires these names to be precise in order to parse the csv. Do not use commas in any cell and do not have any empty rows.
Each row will represent a unique set of statistics for an administrative division in your country.
Notice that the adminPcode and name columns are identical to applicable levels created in the csv file in the previous step.
The next 4 columns are repeated for however many years you are able to source data from your statistical department. Each year MUST contain a minimum of 4 columns:
  • male_population_<year>
  • female_population_<year>
  • population_<year>
  • crude_birth_rate_<year>
Be careful when adding extra years to not have any spaces in your headers between the name of the header and the year key.
You can remove year blocks of 4 columns if you do not have this data, but make sure the available years that you do have run consecutively without any time gaps.
You can add statistical data to a location every year using the FHIR Location API.
Note: crude death rate is applied globally in the "required settings" step later in this documentation.
Note: At this stage, there is not too much point in you entering data more than 5 years back in time as OpenCRVS can only calculate completeness rates based on the registration information it has available. In future versions, we plan to introduce legacy data import to include historical registrations. At that point, a history of population data becomes really powerful.