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    Home / Central Data Catalog / ECONOMIC-ENVIRONMENT / PSE-PCBS-EES-2006-V1.0 / variable [V13]
Economic-Environment

Environmental Economic Survey, 2006

West Bank and Gaza, 2004
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Reference ID
PSE-PCBS-EES-2006-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Economic Environment
Metadata
DDI/XML JSON
Created on
Sep 14, 2020
Last modified
Sep 14, 2020
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  • Study Description
  • Data Description
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  • Data files
  • Environmental
    Economic Survey
    Mains, 2006
  • Environmental
    Economic Survey
    Subforms, 2006

Second mean of putting non-separated solid waste during February 2006 (es08_2)

Data file: Environmental Economic Survey Mains, 2006

Overview

Valid: 2379
Valid (weighted): 58874.209
Invalid: 910
Invalid (weighted): 22921.654
Minimum: 1
Maximum: 7
Mean: 5.009
Mean (weighted): 4.776
Standard deviation: 1.954
Standard deviation (weighted): 1.951
Type: Discrete
Decimal: 0
Width: 1
Range: 1 - 7
Format: Numeric
Weighted variable: V58

Questions and instructions

Literal question
Second mean of putting non-separated solid waste during February 2006
Categories
Value Category Cases Weighted
1 Nylon bags 130 4090
5%
2 Special bags 240 5145
6.3%
3 Carton boxes 259 8594
10.5%
4 Metal boxes 107 3835
4.7%
5 Normal plastic boxes 659 16371
20%
6 Special plastic boxes 81 2053
2.5%
7 There isn't 903 18786
23%
Sysmiss 910 22922
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.

Description

Universe
All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.
Source of information
Economic Establishments

Imputation and derivation

Imputation
The data was collected between 15/03/2006 and 01/06/2006, the reference period during the data collection process was February 2006 for all the data except the periodicity of the solid waste collection, the reference period was the last week of the fieldworker existence in the establishment

Others

Security
Two types of errors affect the quality of survey data; sampling and non sampling errors. The sampling errors are measurable, however the non-sampling errors could not be determined easily due to the diversity of sources (e.g. the interviewers, respondent, editor, data entry operator... etc).

However, several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders had undergone intensive training and were provided with fieldwork manuals to consult when facing any problem.

The data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.
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