Transpersons are likely to be given official jobs as the Local Government and Community Development (LG&CD) department has decided to fix their two per cent employment quota in several posts lying vacant. File
LAHORE: Transpersons are likely to be given official jobs as the Local Government and Community Development (LG&CD) department has decided to fix their two per cent employment quota in several posts lying vacant in the local governments, councils (Metropolitan / Municipal Corporations, Union Councils etc), the Walled City of Lahore Authority, the Local Government Board and the department for long.
“We have taken a policy decision to allocate a two per cent quota in all vacant posts for transpersons begging at intersections, streets and markets since they have no jobs. We are doing this in line with the Constitution of Pakistan which guarantees equal rights to everyone without any discrimination,” department’s secretary Noorul Amin Mengal told
PHC 2021: We aim at quality data – Awutu Senya West Census Officer
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Barbados Statistical Service household listing service begins on May 31
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…As NPC chairman hails governor on good governance
Governor Ifeanyi #Ugwuanyi of #Enugu State has called for synergy and strategic partnership between the state government and the National Population Commission (NPC), towards ensuring that all population related rights and privileges are accorded to the state in future census exercises.
Gov. Ugwuanyi who made the call when he received in audience a delegation from the Commission, led by its Chairman, Hon. Nasir Isa Kwarra, at the Government House, Enugu, noted that the published population of Enugu State, in the 2006 Census, which stood at 3, 267,837, was “a gross under-representation of our population size”.
Background
Anemia is a global public health problem, particularly in developing countries. Assessing the geographic distributions and determinant factors is a key and crucial step in designing targeted prevention and intervention programmes to address anemia. Thus, the current study is aimed to assess the spatial distribution and determinant factors of anemia in Ethiopia among adults aged 15–59.
Methods
A secondary data analysis was done based on 2016 Ethiopian Demographic and Health Surveys (EDHS). Total weighted samples of 29,140 adults were included. Data processing and analysis were performed using STATA 14; ArcGIS 10.1 and SaTScan 9.6 software. Spatial autocorrelation was checked using Global Moran’s index (Moran’s I). Hotspot analysis was made using Gettis-OrdGi statistics. Additionally, spatial scan statistics were applied to identify significant primary and secondary cluster of anemia. Mixed effect ordinal logistics were fitted to determine factors associated with th