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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / UGA_2013-2014_NPS-W4_V01_EN_M_V01_A_OCS / variable [F176]
agricultural-surveys

National Panel Survey 2013-2014

Uganda, 2013 - 2014
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Reference ID
UGA_2013-2014_NPS-W4_v01_EN_M_v01_A_OCS
Producer(s)
Uganda Bureau of Statistics
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 11, 2020
Last modified
Nov 08, 2022
Page views
93088
Downloads
642
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • GSEC1
  • GSEC2
  • GSEC3
  • GSEC4
  • GSEC5
  • GSEC6_1
  • GSEC6_2
  • GSEC6_3
  • GSEC8_1
  • GSEC9_1
  • GSEC9_2
  • GSEC10_1
  • GSEC10_2
  • GSEC10_3
  • GSEC11A
  • GSEC11B
  • GSEC12_1
  • GSEC14A
  • GSEC14B
  • GSEC15
  • GSEC15B
  • GSEC15BB
  • GSEC15BB_2
  • GSEC15BB_3
  • GSEC15C
  • GSEC15D
  • GSEC15E
  • GSEC16
  • GSEC17_1
  • GSEC17_2
  • GSEC17_3
  • GSEC17_4
  • GSEC19
  • WSEC1A
  • WSEC2
  • WSEC3
  • WSEC4
  • WSEC5
  • AGSEC1
  • AGSEC2A
  • AGSEC2B
  • AGSEC3A
  • AGSEC3B
  • AGSEC4A
  • AGSEC4B
  • AGSEC5A
  • AGSEC5B
  • AGSEC6A
  • AGSEC6A_1
  • AGSEC6B
  • AGSEC6B_1
  • AGSEC6C
  • AGSEC6C_1
  • AGSEC7
  • AGSEC8A
  • AGSEC8B
  • AGSEC8C
  • AGSEC9
  • AGSEC9A
  • AGSEC10
  • AGSEC11
  • CSEC1A
  • CSEC2A
  • CSEC2B
  • CSEC2C
  • CSEC2C_1
  • CSEC3
  • CSEC3A
  • CSEC3B
  • CSEC3C
  • CSEC3D
  • CSEC3E
  • CSEC3F
  • CSEC3G
  • CSEC3H
  • CSEC3I
  • CSEC3J
  • CSEC3K
  • CSEC3K_1
  • CSEC3L
  • CSEC4A
  • CSEC4B
  • CSEC4C
  • CSEC4D
  • CSEC4D_1
  • CSEC4E
  • CSEC4F
  • CSEC4G
  • CSEC4H
  • CSEC4H_1
  • CSEC4I
  • CSEC4J
  • CSEC4K_1
  • CSEC4L
  • CSEC4M.1
  • CSEC4N
  • CSEC4O
  • CSEC4P
  • CSEC4Q
  • CSEC4R
  • CSEC5
  • CSEC5A
  • CSEC5B
  • CSEC5C
  • CSEC5D
  • CSEC5E
  • CSEC6A
  • CSEC6B
  • CSEC6C
  • CSEC6D
  • CSEC6E
  • UNPS 2013-14
    Consumption
    Aggregate
  • gsec12

Specify the other concerns (C2BQ13_9_other)

Data file: CSEC2B

Overview

Valid: 57
Invalid: 0
Type: Discrete
Start: 113
End: 194
Width: 82
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
ABSENTEESIEM OF STAFF 1
1.8%
ABSENTISM OF STAFF 1
1.8%
AVAILABLE AMBULANCE LACKS FUEL ALWAYS.INCASE OF REFERRALS YOU HAVE TO PAY FOR FUEL 1
1.8%
BAD ATTITUDE OF HEALTH WORK 1
1.8%
BAD ATTITUDE OF SOME STAFF MEMBER 1
1.8%
BAD ROAD 1
1.8%
BAD ROADS 1
1.8%
Being in the army barracks you can not move and out freely 1
1.8%
CLIENT' EXPECTATIONS NOT MET BECAUSE THEY COME FROM DIFFERENT SUB-COUNTY 1
1.8%
CLIENTS EXPECTATIONS NOT ALWAYS MET 1
1.8%
Educate staff on job values 1
1.8%
HEALTH WORKERS NOT ALWAYS AVAILABLE 1
1.8%
High Number of Patients 1
1.8%
ILLEGAL CHARGES 1
1.8%
IN ADEQUATE BUILDINGS 1
1.8%
INACCESSIBILITY DURING RAINY SEASON 1
1.8%
INADEQUATE FACILITIES-BUILDINGS 1
1.8%
LACK OF CLINICAL EQUIPMENTS 1
1.8%
LACK OF DRUGS 1
1.8%
LACK OF SPACE ESPECIALLY DURING 1
1.8%
LATE STARTING OF WORK 1
1.8%
LESS PAY TO STAFF 1
1.8%
LESS STAFF 1
1.8%
LESS STAFF SERVING PATIENTS 1
1.8%
LIMITED FACILITES 1
1.8%
LIMITED FACILITIES 1
1.8%
LIMITED FACILITIES EG [WARDS] 1
1.8%
LIMITED STAFF 1
1.8%
LIMITED WARDS 1
1.8%
LIMITED WORKING SPACE 1
1.8%
Less information on range of services; Absenteesm of staff 1
1.8%
Low number of staff 1
1.8%
MEDICAL STAFF NEGLIGENCE 1
1.8%
NEGLEGIENCE OF PATIENTS 1
1.8%
NO ELECTRICITY 1
1.8%
NON- AVAILABILITY OF SAFE DRINKING WATER. 1
1.8%
NONE 2
3.5%
No Ambulance services; No staff quarters; No maternity services. 1
1.8%
Not working over weekends 1
1.8%
POOR ATTITUDE OF SOME HEALTH WORKERS 1
1.8%
POOR ROAD 1
1.8%
PROVISION OF FOOD FOR PATIENTS 1
1.8%
Patient neglect 1
1.8%
Poor Ambulance services 1
1.8%
Poor Hygiene, Poor conduct of Staff 1
1.8%
Poor sanitation facilities, 1
1.8%
STAFF ALWAYS NOT BEING AVAILABLE 1
1.8%
Staff often absent 1
1.8%
Too congested 1
1.8%
blocked easy accesss routes 1
1.8%
electricity 1
1.8%
low number of staff 1
1.8%
negligence 1
1.8%
poor road 1
1.8%
provide enough wards 1
1.8%
some staff are not cooperative with patients. village people know them ver well. 1
1.8%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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