Vital Statistics Registration Process and Data Collection Overview

This content provides detailed information on the vital statistics registration process, including live birth characteristics, data collection procedures, and coverage of items such as date of occurrence, registration, place of birth, mother and father characteristics. It also outlines the central statistic organization's role in recording vital events like births and presents statistical data on live births in various administrative units. The content touches on the importance of accurate vital statistics for demographic analysis and policy-making.

• Vital Statistics
• Birth Registration
• Data Collection
• Demography
• Central Statistics

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1. By the name of Allah

2. some questions about live birth characteristic in the every country 1 date of occurrence 2 Date of registration 3 place of occurrence 4 locality of occurrence 5 urban / rural occurrence 6- place of registration 7 type of birth (I,e, single, twin, triplet, quadruplet or higher multiple delivery ) 8 Attendant at birth yes yes yes yes yes yes yes yes

3. copy of the after register in distract book and province sending to capital . General civil registration office Presidency statistic ) ( ) ( province management ) ( ) ( sub district/town sheathe ) ( ) ( district page ) ( ) ( lane/transit issue number ) ( house number date / / Specification ) ( ) ( ) ( Grand / F N Father name Name of child : female male gender : more then tow townie ones :kind of birth : station house Hospital place of birth year Month day Date of birth ID number : page ) ( ) ( Mother language : S/of occupancy F/occupation ) ( ) ( ) ( ) ( : N/registration several child M/age M/ name

4. Coverage of items: Births : (a)Characteristics of the events: Date of Registration, Date of Birth, Sex, Place of Birth. Order of Live Birth, Type of Attention at Delivery (b) Characteristics of mother and father: Literacy, Occupation, Religion, Age of mother at confinement. Nationality, 4

5. central statistic Organization social - demography office vital statistic events registration division name of provinc nam of distric area date births in sex mother`s residence whilest baby birth other administrative unit kind of births mother`s age whilest of baby birth this administrative unite months plus of tow less than 15 year No other provinc female this distric unknown male Total Total twin 45-49 40-44 35-39 30-34 25-29 20-24 15-19 one Total Total 50 0 0 Jan 1 0 0 0 0 feb 2 0 0 0 0 mar 3 0 0 0 0 4 april 0 0 0 0 may 5 0 0 0 0 Jun 6 0 0 0 0 July 7 0 0 0 0 Aug 8 0 0 0 0 Sep 9 0 0 0 0 Octo 10 0 0 0 0 Nove 11 0 0 5 Dece 0 0 12 0 0 0 0 Total

6. some questions about death characteristic in the every country 1 date of occurrence 2 Date of registration 3 place of occurrence 4 locality of occurrence 5 urban / rural occurrence yes 6- place of registration yes 7 cause of death yes 8 Certifier yes 9 type of Certification yes yes yes yes

7. General civil registration office ) ( province sub district / town ) ( district ) ( transit date / / Presidency of statistic management authoritative ) ( ) ( ) ( ) ( ) ( ) ( issue/n page 1- Death specification report Death specification Name ) (F/name ) ( G/F/name ) ( province ) ( village ) (transit ) ( ID number ) ( page gander male age day month year Marital status 1- single 2- marry 3- widow 4- divorce Nationality degree of education how match the member of family Death specification Date of death date predicate report Date registration / / reason Kind of skins kind of accident Stead of death incidence 1- hospital 2- house 3- station Providing attribute nonentity ones of cardinal relationship Name ( ) F/name ( ) G/F/name ( ) ID number page Province sub district allege Attribute reporters Name ( ) F/name ( ) G/F/name ( 0 Province sub district allege Pertinence reporter whit death person Attribute registration person Name ( ) degree ( ) duty ( ) signature Send date report to preferable coordinate female ) ( Occupation ID number page

8. deaths monthly table death according to age and sex death according to residetype of disease and incident death according to residence death according to marital status death according to gender other administrative unit this administrative unit stomach,intestine and neurological diseases less than of one year unforenssen events traffic accidents TB(tuberculos) other provinc sari diseases unknown unknown unknown unknown this area divorce Titanus diarrha maried month conser widow single 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 19-10 heart Total Total Total Total male male liver 60+ Total 5-9 0-4 sex No mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal mal 0 e Jan 0 0 0 0 1 0 e 0 e febr 0 0 0 0 2 0 e March 0 e 0 0 0 0 3 0 e 0 e April 0 0 0 0 4 0 e 0 e May 0 0 0 0 5 0 e 0 e June 0 0 0 0 6 0 e 0 e July 0 0 0 0 7 0 e Agust 0 e 0 0 0 0 8 0 e Septem 0 e ber 0 0 0 0 9 0 e October 0 e 0 0 0 0 10 0 e Novemb Decemb 0 e er 0 0 0 0 11 0 e 0 e er 0 0 0 0 12 male 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Total 0

9. Weaknesses strengths SWOT SWOT Opportunity threats

10. 1-Electronic Based system 2-Internal Master trainers on Birth &Death(ICD1O coding) 3-Estiblishmen of vital Statistics department in MOPH 4-having comprehensive strategic plan at national Level

11. 1- lack of capacity at health facility level 2-Inadequet supportive supervision and monitoring of the work in states 3-less allocation of budget from governmental sources 4-lack of commitment & high level of staff turn over nate 5- lack of political commitment & support

12. 1-Support of International partners(WHO,Uncef, unfpa) 2-Having Strategic plan 2016-2020

13. 1-insecurity situation 2- lack of community involvement

14. Flow of CRVS data in AFG. (Birth & Deaths) Flow of CRVS data in AFG. (Birth & Deaths) Collecting Querying Editing Imputation of missing data Computerization Produce statistics & provincial report Collecting Querying Editing Imputation of missing data HFs CRVS office (District) CRVS office (Province) H Community (HHs) Collecting Querying Editing Imputation of missing data Computerization Produce statistics & provincial report PHO CRVS Authority (National) Querying Produce statistics & provincial report MOPH Dissemination Querying Produce statistics & provincial report CSO

15. Thanks for your attention