| Nepal {dhsage} | R Documentation |
The data represent the number of women of reproductive age in Nepal
Description
The function provides the number of women of reproductive age 15-49 in Nepal based on the demographic health survey of 2016, 2011, 2006, 2001 and 1996.
Usage
nep_2016
nep_2011
nep_2006
nep_2001
nep_1996
Arguments
nep_2016 |
A vector of (non-negative) count values. |
nep_2011 |
A vector of (non-negative) count values. |
nep_2006 |
A vector of (non-negative) count values. |
nep_2001 |
A vector of (non-negative) count values. |
nep_1996 |
A vector of (non-negative) count values. |
Details
Based on the demographic health surveys conducted in 2016, 2011, 2006, 2001, and 1996, the function gives the number of Nepalese women between the ages of 15 and 49.
Value
nep_1996, nep_2001, nep_2006, nep_2011 and nep_2016 give the number of women of reproductive age 15-49 in Nepal.
Author(s)
Muhammad Imran
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.
References
Ministry of Health, Nepal; New ERA, Nepal; Nepal Health Sector Support Program (NHSSP); and ICF. 2017. Nepal Health Facility Survey 2015. Kathmandu, Nepal: Ministry of Health, Nepal.
Ministry of Health and Population (MOHP) [Nepal], New ERA, and ICF International Inc. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: Ministry of Health and Population, New ERA, and ICF International, Calverton, Maryland.
Ministry of Health and Population (MOHP) [Nepal], New ERA, and Macro International Inc. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: Ministry of Health and Population, New ERA, and Macro International Inc.
Ministry of Health [Nepal], New ERA, and ORC Macro. 2002. Nepal Demographic and Health Survey 2001. Calverton, Maryland, USA: Family Health Division, Ministry of Health; New ERA; and ORC Macro.
Pradhan, Ajit, Ram Hari Aryal, Gokarna Regmi, Bharat Ban, and Pavalavalli Govindasamy. 1997. Nepal Family Health Survey 1996. Kathmandu, Nepal and Calverton, Maryland: Ministry of Health [Nepal], New ERA, and Macro International Inc.
See Also
myan_2016, timor_2016, mal_2016, heaping
Examples
x <- nep_2016
# starting age 23 and ending age 62
heaping(x, 23, 62)
# starting age 15 and ending age 49
heaping(x, 15, 49)