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    Home / Central Data Catalog / ECONOMIC-ENVIRONMENT / PSE-PCBS-EES-2006-V1.0 / variable [F1]
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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25717
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  • Study Description
  • Data Description
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  • Environmental
    Economic Survey
    Mains, 2006
  • Environmental
    Economic Survey
    Subforms, 2006

Economic activity (sector)

Data file: Environmental Economic Survey Mains, 2006

Overview

Valid: 3289
Valid (weighted): 81795.862
Invalid: 0
Invalid (weighted): 0
Minimum: 1
Maximum: 9
Mean: 4.761
Mean (weighted): 3.575
Standard deviation: 2.876
Standard deviation (weighted): 2.134
Type: Discrete
Decimal: 0
Width: 1
Range: 1 - 9
Format: Numeric
Weighted variable: V58

Questions and instructions

Literal question
Economic activity
Categories
Value Category Cases Weighted
1 Industrial activities 667 12553
15.3%
2 Constructions 190 550
0.7%
3 Whole sale, retail & repairs 595 50044
61.2%
4 Hotels & restaurants 238 3748
4.6%
5 Transport, storage & communications 199 692
0.8%
6 Real estate, renting & business activities 252 3557
4.3%
7 Education 249 2045
2.5%
8 Health & social work 465 2943
3.6%
9 Community, social & personal services 434 5665
6.9%
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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