<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="LBN_2020_MEED-W2_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          UNHCR_LBN_MEED_2020_WAVE2_SYR
        </titl>
        <IDNo>
          DDI_LBN_2020_MEED-W2_v01_M
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer>
          UNHCR
        </producer>
        <prodDate date="2021-05-05">
          2021-05-05
        </prodDate>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[Version 1 (May 2021). This version is identical to UNHCR DDI ID: UNHCR-LBN-MEED-WAVE2-SYR-2020-v2.1, except the following edits were made:
- Minor spelling, grammatical, and formatting corrections
- Specified the archive where study is originally stored
- Minor alterations to study title to fit World Bank formatting practices, change reflected in citation 
- Description of external documents altered to reflect the document titles]]>
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Phone Survey - Monitoring of the Effects of the Economic Deterioration on Syrian Refugee Households Wave 2, 2020
        </titl>
        <IDNo>
          LBN_2020_MEED-W2_v01_M
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          United Nations High Commissioner for Refugees (UNHCR)
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <producer>
          WFP
        </producer>
        <software version="4.0.10" date="2018-05-02">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact affiliation="UNHCR" email="microdata@unhcr.org">
          Curation team
        </contact>
      </distStmt>
      <verStmt>
        <version date="2020-06-09">
          v2.1: Edited, cleaned and anonymised data.
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas>
          Health
        </topcClas>
        <topcClas>
          Education
        </topcClas>
        <topcClas>
          Food security
        </topcClas>
        <topcClas>
          Livelihood &amp; Social cohesion
        </topcClas>
        <topcClas>
          Return
        </topcClas>
        <topcClas>
          Shelter/Other Infrastructure
        </topcClas>
        <topcClas>
          Health Care Referral Services
        </topcClas>
        <topcClas>
          Domestic Needs/Household Support
        </topcClas>
        <topcClas>
          Income Generation
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[The Monitoring of the Effects of the Economic Deterioration on Refugee Households dataset is a Phone survey of Syrian and non-Syrian households to monitor the changes over time in key areas in the context of the deteriorating economic situation in Lebanon. The UNHCR call center was used to conduct the two waves of data collection: 20-28 February (Wave I) and 17 April-15 May (Wave II). Several call attempts were made at different times of the day to reach the largest possible number of households.

After the Wave I of the survey, which was collected before the first case of Covid 19 was reported in Lebanon, the Wave II was conducted to account for the impacts of the spread of the Covid 19 virus on refugees, the level of awareness among them and their accessibility to hygiene items and health care services. This dataset includes only the Syrian refugees cases.]]>
      </abstract>
      <sumDscr>
        <collDate date="2020-04-17" event="start"/>
        <collDate date="2020-05-15" event="end"/>
        <nation abbr="LBN">
          Lebanon
        </nation>
        <anlyUnit>
          Household
        </anlyUnit>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[The questionnaire included key indicators on household demographics, shelter, expenditures, livelihoods, debt, coping strategies, food security and consumption, and health. In addition, it included indicators on COVID 19, its impacts on access to services, levels of awareness, and access to PFEs and hygiene items.

The scope includes:
- key indicators on household demographics
- accommodation
- rent
- employment
- health/ COVID 19
- food security
- livelihoods
- food consumption
- debt
- coping strategies and assistance
- intention to return
- education]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector>
          UNHCR
        </dataCollector>
        <sampProc>
          <![CDATA[In order to facilitate regular monitoring of the change for households nationally, this monitoring approach employed a phone survey approach conducted on a quarterly basis with wave 1 starting in February 2020 and wave 2 (presented herein) starting in April 2020. 

To achieve this, a simple random sampling approach was used in both waves, extracted from UNHCR database in Lebanon. Two nationally representative samples were extracted: (1) Syrian refugees, and (2) Non-Syrian refugees. Each sample is estimated at 500 (total 1,000) refugee households.

To account for non-response rate, the data samples were enlarged: 1,000 Syrians and 1,000 non-Syrians.]]>
        </sampProc>
        <collMode>
          Computer Assisted Telephone Interview [cati]
        </collMode>
        <resInstru>
          The questionnaire included key indicators on household demographics, shelter, expenditures, livelihoods, debt, coping strategies, food security and consumption, and health. In addition, it included indicators on COVID 19, its impacts on access to services, levels of awareness, and access to PFEs and hygiene items.
        </resInstru>
        <sources/>
        <collSitu>
          Interviews were made by phone.
        </collSitu>
        <weight>
          No weighting was applied for this dataset since it includes only Syrian records.
        </weight>
      </dataColl>
      <anlyInfo>
        <respRate>
          The initial response rate in WAVE 2 was very low (40%); to increase the response, UNHCR used WhatsAPP (via partners) to establish contact with refugees and managed to increase the response rate to 60%.
        </respRate>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <origArch>
          <![CDATA[United Nations Refugee Agency Microdata Library
https://microdata.unhcr.org/index.php/catalog/240
Original Archive Study ID: UNHCR-LBN-MEED-WAVE2-SYR-2020-v2.1
Cost: None]]>
        </origArch>
      </setAvail>
      <useStmt>
        <citReq>
          <![CDATA[Please cite as follows:

(2020) Phone Survey - Monitoring of the Effects of the Economic Deterioration on Syrian Refugee Households Wave 2, 2020, UNHCR microdata library, https://microdata.unhcr.org]]>
        </citReq>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="LBN_2020_MEED-W2_v01_M.Nesstar?Index=0&amp;Name=unhcr_lbn_meed_2020_wave2_syr_v2.1_anonymized">
    <fileTxt>
      <fileName>
        unhcr_lbn_meed_2020_wave2_syr_v2.1_anonymized.NSDstat
      </fileName>
      <fileCont>
        This file contains all household-level data collected during this survey.
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          80
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <var ID="V1" name="CallDate" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="12" width="12" RecSegNo="1"/>
      <labl/>
      <valrng>
        <range UNITS="REAL" min="1" max="584"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          00:11.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          00:23.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          00:28.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          00:35.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          00:37.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          00:38.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          00:39.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          01:01.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          01:06.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          01:16.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          01:16.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          01:19.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          01:19.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          01:20.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          01:23.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          01:34.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          01:35.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          01:39.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          01:44.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          01:46.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          01:51.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          01:59.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          02:00.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          02:02.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          02:03.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          02:06.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          02:14.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          02:39.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          02:40.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          02:45.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          02:57.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          02:58.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          03:09.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          03:16.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          03:22.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          03:33.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          03:37.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          03:47.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          03:49.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          04:00.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          04:01.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          04:12.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          04:15.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          04:24.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          04:24.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          04:26.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          04:27.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          04:32.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          04:37.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          04:40.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          04:45.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          04:48.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          04:49.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          04:49.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          04:56.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          05:08.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          05:22.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          05:30.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          05:38.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          05:45.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          05:48.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          05:49.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          05:51.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          05:55.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          05:57.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          06:20.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          06:23.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          06:28.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          06:42.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          06:43.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          06:49.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          06:49.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          06:50.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          07:05.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          07:06.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          07:08.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          07:10.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          07:14.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          07:18.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          07:35.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          07:37.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          07:49.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          07:51.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          07:52.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          08:05.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          08:14.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          08:17.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          08:25.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          08:29.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          08:29.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          08:48.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          08:55.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          08:58.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          09:05.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          09:11.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          09:11.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          09:21.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          09:22.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          09:33.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          09:46.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          09:55.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          09:56.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          09:56.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          10:09.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          10:10.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          10:12.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          10:13.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          10:14.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          10:21.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10:46.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          10:53.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          11:03.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          11:12.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          11:30.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          11:38.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          11:39.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          11:42.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          11:48.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          11:50.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          11:50.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          12:05.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          12:07.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          12:09.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          12:09.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          12:09.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          12:12.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          12:32.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          12:37.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          12:55.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          12:55.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          13:18.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          13:37.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          13:44.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          13:50.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          13:57.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          13:59.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          13:59.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          14:03.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          14:05.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          14:22.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          14:32.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          14:32.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          14:37.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          14:39.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          14:40.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          14:41.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          14:42.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          14:45.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          14:46.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          14:54.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          14:57.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          14:57.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          14:58.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          15:00.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          15:01.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          15:02.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          15:04.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          15:04.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          15:05.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          15:07.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          15:10.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          15:16.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          15:22.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          15:25.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          15:53.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          15:54.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          15:57.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          16:02.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          16:12.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          16:32.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          16:41.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          16:41.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          16:49.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          16:49.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          16:54.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          16:57.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          17:03.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          17:11.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          17:28.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          17:28.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          17:29.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          17:30.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          17:43.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          17:56.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          17:57.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          18:09.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          18:14.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          18:37.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          18:41.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          18:43.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          18:44.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          18:45.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          18:52.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          19:02.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          19:07.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          19:20.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          19:24.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          19:25.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          19:35.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          19:37.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          19:38.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          19:38.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          19:38.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          19:41.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          19:45.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          19:50.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          19:50.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          19:50.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          19:53.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          19:56.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          19:57.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          20:08.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          20:14.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          20:15.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          20:47.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          20:49.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          20:56.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          21:06.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          21:10.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          21:21.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21:31.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          21:32.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          21:33.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          21:42.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          21:50.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          21:53.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          22:03.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          22:04.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          22:20.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          22:26.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          22:29.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          22:36.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          22:42.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          22:48.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          22:54.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          22:59.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          23:01.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          23:12.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          23:18.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          23:25.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          23:26.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          23:36.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          23:43.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          23:46.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          23:48.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          23:49.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          23:56.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          24:01.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          24:05.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          24:07.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          24:08.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          24:11.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          24:17.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          24:26.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          24:26.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          24:27.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          24:35.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          24:43.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          24:44.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          24:45.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          24:46.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          24:49.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          24:52.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          24:53.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          25:00.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          25:02.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          25:10.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          25:10.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          25:11.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          25:16.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          25:21.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          25:21.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          25:25.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          25:30.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          25:39.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          25:48.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          25:52.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          25:57.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          26:03.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          26:06.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          26:15.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          26:16.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          26:18.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          26:21.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          26:23.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          26:25.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          26:30.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          26:35.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          26:37.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          26:40.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          26:53.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          27:05.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          27:06.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          27:11.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          27:11.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          27:21.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          27:26.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          27:58.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          28:08.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          28:32.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          28:32.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          28:35.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          28:47.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          28:47.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          28:55.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          29:06.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          29:06.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          29:07.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          29:07.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          29:09.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          29:10.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          29:30.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          29:34.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          29:35.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          29:52.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          29:57.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          29:59.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          30:04.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          30:08.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          30:10.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          30:12.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          30:22.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          30:28.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          30:34.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          30:38.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          30:42.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          30:43.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          30:56.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          31:01.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          31:27.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31:28.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          31:33.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          31:41.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          31:46.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          31:51.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          31:52.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          31:52.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          31:56.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          31:59.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          32:01.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          32:16.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          32:17.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          32:20.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          32:21.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          32:23.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          32:23.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          32:27.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          32:27.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          32:28.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          32:29.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          32:30.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          32:36.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          32:37.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          32:40.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          32:53.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          33:09.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          33:11.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          33:16.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          33:18.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          33:26.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          33:27.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          33:28.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          33:31.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          33:36.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          33:45.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          33:47.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          33:57.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          34:02.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          34:03.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          34:06.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          34:10.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          34:24.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          34:25.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          34:25.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          34:26.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          34:26.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          34:28.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          34:29.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          34:35.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          34:44.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          34:59.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          35:13.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          35:18.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          35:19.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          35:21.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          35:22.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          35:23.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          35:23.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          35:24.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          35:24.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          35:25.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          35:26.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          35:27.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          35:30.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          35:47.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          35:50.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          36:06.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          36:22.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          36:35.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          36:46.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          36:47.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          37:03.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          37:24.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          37:27.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          37:43.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          37:58.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          38:20.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          38:22.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          38:25.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          38:30.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          38:31.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          38:38.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          38:40.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          38:45.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          39:07.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          39:11.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          39:17.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          39:32.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          39:33.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          39:33.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          39:53.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          40:04.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          40:39.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          40:45.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          40:46.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          40:46.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          40:47.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          40:54.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          40:59.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          41:00.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          41:17.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          41:46.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          41:54.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          42:03.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          42:05.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          42:05.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          42:09.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          42:12.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          42:20.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          42:37.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          42:38.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          42:47.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          42:54.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          43:16.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          43:35.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          43:36.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          43:40.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          43:45.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          43:58.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          44:01.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          44:06.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          44:09.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          44:23.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          44:34.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          44:41.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          44:46.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          44:46.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          44:57.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          44:59.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          45:03.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          45:04.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          45:07.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          45:22.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          45:26.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          45:39.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          45:39.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          45:40.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          45:42.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          45:46.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          46:01.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          46:04.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          46:07.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          46:09.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          46:11.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          46:31.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          46:32.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          46:35.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          46:46.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          46:54.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          46:59.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          47:11.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          47:25.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          47:28.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          47:56.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          47:59.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          48:00.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          48:05.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          48:12.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          489
        </catValu>
        <labl>
          48:18.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          48:25.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          48:27.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          48:35.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          48:46.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          49:01.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          495
        </catValu>
        <labl>
          49:02.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          49:31.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          497
        </catValu>
        <labl>
          49:35.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          49:36.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          49:42.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          49:51.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          49:51.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          49:52.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          49:53.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          49:59.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          50:16.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          50:25.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          50:29.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          50:33.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          50:45.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          50:49.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          51:11.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          51:20.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          51:40.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          51:42.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          51:42.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          51:48.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          51:55.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          518
        </catValu>
        <labl>
          51:56.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          52:19.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          52:25.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          52:28.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          52:28.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          52:33.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          52:37.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          52:46.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          52:48.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          527
        </catValu>
        <labl>
          52:49.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          53:05.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          53:08.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          53:12.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          53:17.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          53:22.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          53:27.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          53:28.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          53:30.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          536
        </catValu>
        <labl>
          53:46.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          537
        </catValu>
        <labl>
          53:52.3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          538
        </catValu>
        <labl>
          53:57.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          54:10.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          54:10.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          54:11.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          542
        </catValu>
        <labl>
          54:23.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          543
        </catValu>
        <labl>
          54:26.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          544
        </catValu>
        <labl>
          54:30.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          545
        </catValu>
        <labl>
          54:31.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          546
        </catValu>
        <labl>
          54:43.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          547
        </catValu>
        <labl>
          55:00.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          55:05.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          549
        </catValu>
        <labl>
          55:05.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          55:06.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          55:27.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          55:44.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          553
        </catValu>
        <labl>
          55:46.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          55:48.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          555
        </catValu>
        <labl>
          55:56.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          556
        </catValu>
        <labl>
          56:10.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          557
        </catValu>
        <labl>
          56:11.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          56:13.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          56:29.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          56:31.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          56:33.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          56:47.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          57:09.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          564
        </catValu>
        <labl>
          57:18.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          565
        </catValu>
        <labl>
          57:18.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          57:19.9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          567
        </catValu>
        <labl>
          57:32.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          568
        </catValu>
        <labl>
          57:33.8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          569
        </catValu>
        <labl>
          57:42.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          58:18.1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          571
        </catValu>
        <labl>
          58:22.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          572
        </catValu>
        <labl>
          58:29.7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          573
        </catValu>
        <labl>
          58:33.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          58:47.6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          575
        </catValu>
        <labl>
          58:48.5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          576
        </catValu>
        <labl>
          58:53.4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          577
        </catValu>
        <labl>
          58:59.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          59:00.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          579
        </catValu>
        <labl>
          59:22.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          59:31.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          59:39.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          59:45.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          59:54.2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          59:56.0
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2" name="Nationality" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="13" EndPos="24" width="12" RecSegNo="1"/>
      <labl>
        Nationality
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          SYR
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="Housing_type" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="25" EndPos="36" width="12" RecSegNo="1"/>
      <labl>
        What type of housing/shelter does the family live in?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Non Residential
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Residential
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Non Permanent
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4" name="hh_size" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="37" EndPos="48" width="12" RecSegNo="1"/>
      <labl>
        What is the total number of Household members?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3_4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          5_6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="gender_hoh" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="60" width="12" RecSegNo="1"/>
      <labl>
        <![CDATA[What is the  sex of the head of household?]]>
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="occupancy_type" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="72" width="12" RecSegNo="1"/>
      <labl>
        Type of occupancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rental
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Work for rent
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V7" name="rent_currency" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="84" width="12" RecSegNo="1"/>
      <labl>
        If renting, please indicate the currency in which you are currently paying rent
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Either USD or LBP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          LBP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          USD
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V8" name="rental_period" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="96" width="12" RecSegNo="1"/>
      <labl>
        When is the rent payment due?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Every 2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Every 3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Every month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Every six months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Once a year (every 12 months)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="rent_cost_lbp" files="F1" dcml="0" intrvl="contin">
      <location StartPos="97" EndPos="108" width="12" RecSegNo="1"/>
      <labl>
        How much should you pay each time (what is the rent value)? (LBP)
      </labl>
      <valrng>
        <range UNITS="REAL" min="30000" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V10" name="last_rental_payment_lbp" files="F1" dcml="0" intrvl="contin">
      <location StartPos="109" EndPos="120" width="12" RecSegNo="1"/>
      <labl>
        How much did you pay for rent the last time you paid? (LBP)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V11" name="rent_cost_usd" files="F1" dcml="0" intrvl="contin">
      <location StartPos="121" EndPos="132" width="12" RecSegNo="1"/>
      <labl>
        How much should you pay each time (what is the rent value)? (USD)
      </labl>
      <valrng>
        <range UNITS="REAL" min="200" max="300"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V12" name="last_rental_payment_usd" files="F1" dcml="0" intrvl="contin">
      <location StartPos="133" EndPos="144" width="12" RecSegNo="1"/>
      <labl>
        How much did you pay for rent the last time you paid? (USD)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="330"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="same_curr_prev" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="156" width="12" RecSegNo="1"/>
      <labl>
        Were you paying in this same currency prior to the previous three months?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="payment_past_month" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="168" width="12" RecSegNo="1"/>
      <labl>
        Did this payment occur in the past 30 days?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="change_rent" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="169" EndPos="180" width="12" RecSegNo="1"/>
      <labl>
        Has there been any change in the rental price in the previous three months?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="rent_increase_decrease" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="181" EndPos="192" width="12" RecSegNo="1"/>
      <labl>
        If yes, did the rent increase or decrease?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Decreased
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Increased
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="amount_change_rent" files="F1" dcml="0" intrvl="contin">
      <location StartPos="193" EndPos="204" width="12" RecSegNo="1"/>
      <labl>
        <![CDATA[How much did the rent  increase or decrease?]]>
      </labl>
      <valrng>
        <range UNITS="REAL" min="10000" max="4500000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="changed_accom_3month" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="205" EndPos="216" width="12" RecSegNo="1"/>
      <labl>
        Have you changed accommodation in the past three months?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="changed_accom_3month_reason" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="217" EndPos="228" width="12" RecSegNo="1"/>
      <labl>
        If changed accommodation, what is the main reason?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Due to change in rental currency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          End of rental agreement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Eviction due to inability to pay rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Eviction for reasons other than inability to pay rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Lack of work opportunities in the area/location
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Rent is too expensive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Shelter and WASH Conditions not acceptable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Tension with host community
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Tension with landlord
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="planning_change_accom" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="229" EndPos="240" width="12" RecSegNo="1"/>
      <labl>
        Are you planning to change accommodation in the next three months?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="planning_change_accom_reason" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="241" EndPos="252" width="12" RecSegNo="1"/>
      <labl>
        If planning to change accomodation, what is the main reason?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="11"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Due to change in rental currency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Due to change in rental price
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          End of rental agreement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Eviction due to inability to pay rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Eviction due to reasons other than inability to pay rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Lack of work opportunities in the area/location
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Not enough privacy for my family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Rent is too expensive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Shelter and WASH Conditions not acceptable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Tension with the landlord
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="plan_leave_leb" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="253" EndPos="264" width="12" RecSegNo="1"/>
      <labl>
        Are you planning to leave Lebanon?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Prefer not to answer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="leave_leb_where" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="265" EndPos="276" width="12" RecSegNo="1"/>
      <labl>
        If yes, where?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Return to country of origin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Third Country
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="any_members_above_15" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="277" EndPos="288" width="12" RecSegNo="1"/>
      <labl>
        Are you or any household member in Lebanon above the age of 15?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="num_above_15" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="289" EndPos="300" width="12" RecSegNo="1"/>
      <labl>
        How many family members above the age of 15?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="num_employed" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="301" EndPos="312" width="12" RecSegNo="1"/>
      <labl>
        How many family members have started a new job since October 2019?
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="num_lost_job" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="313" EndPos="324" width="12" RecSegNo="1"/>
      <labl>
        How many family members have lost a job in the past three months?
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="num_gained_job" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="325" EndPos="336" width="12" RecSegNo="1"/>
      <labl>
        How many family members have started a new job in the past three months?
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="total_debt" files="F1" dcml="0" intrvl="contin">
      <location StartPos="337" EndPos="348" width="12" RecSegNo="1"/>
      <labl>
        How many family members have started a new job in the past three months?
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="30600000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="debt_3_months" files="F1" dcml="0" intrvl="contin">
      <location StartPos="349" EndPos="360" width="12" RecSegNo="1"/>
      <labl>
        What is the amount of new debt incurred in the last 90 days? (In LBP)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="20300000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="first_problem" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="361" EndPos="372" width="12" RecSegNo="1"/>
      <labl>
        What is the primary problem your family is currently facing?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Bad shelter conditions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Cannot afford health related costs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Children out of school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Community violence/disputes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Distance to shops to buy goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Electricity cuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Employment/loss of jobs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Food unavailability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Increased prices for food items
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Increased prices for other non-food items
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Increased rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Increased Rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Lack of access to drinking water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Lack of assistance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Not enough money to cover food needs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Not enough money to cover other non-food needs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Restricted freedom of movement due to lack of legal residency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Restricted movement due to corona virus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Shortage of medicine
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="second_problem" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="373" EndPos="384" width="12" RecSegNo="1"/>
      <labl>
        What is the second main problem your family is currently facing?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Bad shelter conditions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Cannot afford health related costs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Children out of school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Community violence/disputes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Electricity cuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Employment/loss of jobs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Food unavailability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Increased prices for food items
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Increased prices for other non-food items
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Increased rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Increased Rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Increased transportation costs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Lack of assistance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Not enough money to cover food needs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Not enough money to cover other non-food needs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Restricted freedom of movement due to lack of legal residency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Restricted movement due to corona virus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Shortage of medicine
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="third_problem" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="385" EndPos="396" width="12" RecSegNo="1"/>
      <labl>
        What is the third main problem your family is currently facing?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="23"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Bad shelter conditions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Cannot afford health related costs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Children out of school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Community violence/disputes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Distance to shops to buy goods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Electricity Cuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Employment/loss of jobs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Food unavailability
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Increased prices for food items
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Increased prices for other non-food items
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Increased rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Increased Rent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Increased transportation costs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Lack of access to drinking water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Lack of assistance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Not enough money to cover food needs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Not enough money to cover other non-food needs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Restricted freedom of movement due to lack of legal residency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Restricted movement due to corona virus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Shortage of Fuel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Shortage of medicine
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="less_expensive_food" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="397" EndPos="408" width="12" RecSegNo="1"/>
      <labl>
        How many days in the past week did you rely on less expensive/preferable food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="borrowed_food" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="409" EndPos="420" width="12" RecSegNo="1"/>
      <labl>
        How many days in the past week did you borrow food or rely on help from friends
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="reduced_meals" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="421" EndPos="432" width="12" RecSegNo="1"/>
      <labl>
        How many days in the past week did your family reduce the number of meals eaten
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="reduced_size" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="433" EndPos="444" width="12" RecSegNo="1"/>
      <labl>
        How many days in the past week did your family reduce portion size of meals
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="restricted_adults" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="445" EndPos="456" width="12" RecSegNo="1"/>
      <labl>
        How many days in the past week did adults eat less so children can eat
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="any_member_under_15" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="457" EndPos="468" width="12" RecSegNo="1"/>
      <labl>
        Are there any children in this family under 15 years old?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="withdrawn_school" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="469" EndPos="480" width="12" RecSegNo="1"/>
      <labl>
        In the past three months, was any child removed/ withdrawn from school
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="child_work" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="481" EndPos="492" width="12" RecSegNo="1"/>
      <labl>
        In the past three months, did you have to have any child involved in work
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="reduce_health" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="493" EndPos="504" width="12" RecSegNo="1"/>
      <labl>
        In the past month did anyone have to reduce expenses on health care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="reduce_legal" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="505" EndPos="516" width="12" RecSegNo="1"/>
      <labl>
        In the past month did anyone have to reduce expenses on legal documentation
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="sell_assets" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="517" EndPos="528" width="12" RecSegNo="1"/>
      <labl>
        In the past month did any household member sell household goods
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="sell_productive" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="529" EndPos="540" width="12" RecSegNo="1"/>
      <labl>
        In the past month did anyone have to sell productive assets
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="food_credit_debt" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="541" EndPos="552" width="12" RecSegNo="1"/>
      <labl>
        In the past month, did anyone have to buy food on credit or by borrowing money
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="arrange_marriage" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="553" EndPos="564" width="12" RecSegNo="1"/>
      <labl>
        <![CDATA[Since Oct 2019,  did your family have to arrange the marriage of a family member]]>
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="left_leb" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="565" EndPos="576" width="12" RecSegNo="1"/>
      <labl>
        Has any household member left Lebanon since October 2019
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="need_phc" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="577" EndPos="588" width="12" RecSegNo="1"/>
      <labl>
        Did any of your hh members require primary health care in the last 6 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="get_phc" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="589" EndPos="600" width="12" RecSegNo="1"/>
      <labl>
        Did you get the required primary health care assistance?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="not_get_phc_why" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="601" EndPos="612" width="12" RecSegNo="1"/>
      <labl>
        If no, what was the primary reason?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cost of drugs/Diagnostic tests/treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Fees doctor visit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Inadequate welcoming/treatment by health center staff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Not accepted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Security concerns / fear of movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Transportation cost
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="need_hospital" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="613" EndPos="624" width="12" RecSegNo="1"/>
      <labl>
        Did any of your household members require hospitalization in the last 6 months?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="get_hospital" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="625" EndPos="636" width="12" RecSegNo="1"/>
      <labl>
        Did you get the required hospital care?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="not_get_hospital_why" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="637" EndPos="648" width="12" RecSegNo="1"/>
      <labl>
        If no what was the primary reason?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cost of treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not accepted due to no availability of beds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Security concerns / fear of movement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          <![CDATA[The hospital refused to admit the patient due to the  inability of the family to secure the hospital deposit]]>
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="denied_service_none" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="649" EndPos="660" width="12" RecSegNo="1"/>
      <labl>
        If no what was the primary reason?
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="denied_service_market" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="661" EndPos="672" width="12" RecSegNo="1"/>
      <labl>
        Denied services due to COVID-19: Access to supermarkets
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="denied_service_work" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="673" EndPos="684" width="12" RecSegNo="1"/>
      <labl>
        Denied services due to COVID-19: Work opportunity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="denied_service_health" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="685" EndPos="696" width="12" RecSegNo="1"/>
      <labl>
        Denied services due to COVID-19: Going to health care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="denied_service_edu" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="697" EndPos="708" width="12" RecSegNo="1"/>
      <labl>
        Denied services due to COVID-19: Education
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="denied_service_assistance" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="709" EndPos="720" width="12" RecSegNo="1"/>
      <labl>
        Denied services due to COVID-19: Redeeming assistance
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="denied_service_dont_know" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="721" EndPos="732" width="12" RecSegNo="1"/>
      <labl>
        Denied services due to COVID-19: Dont know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="denied_service_other_service" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="733" EndPos="744" width="12" RecSegNo="1"/>
      <labl>
        Denied services due to COVID-19: Other services
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="symptoms_covid" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="745" EndPos="756" width="12" RecSegNo="1"/>
      <labl>
        Do you know what the symptoms of COVID-19
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="gloves_masks" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="757" EndPos="768" width="12" RecSegNo="1"/>
      <labl>
        Do you and your family have gloves and masks?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="received_nfi" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="769" EndPos="780" width="12" RecSegNo="1"/>
      <labl>
        Have you received a hygiene kit/soap from a charity or humanitarian organization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="content_needed" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="781" EndPos="792" width="12" RecSegNo="1"/>
      <labl>
        Was the content what you needed?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="preffered_recieved" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="793" EndPos="804" width="12" RecSegNo="1"/>
      <labl>
        What would you have preferred to receive?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kememet - kfouf - hand-gel.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          masks and gloves.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          More items ( clore , soap...)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Needs more items and quantities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          spirto w kemmemet w kfouf
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="concerns_moh_hotline" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="805" EndPos="816" width="12" RecSegNo="1"/>
      <labl>
        Any concerns/fears to contact the MOH if a member may have Covid19
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not aware of the Ministry of pubic health hotline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="total_exp" files="F1" dcml="0" intrvl="contin">
      <location StartPos="817" EndPos="828" width="12" RecSegNo="1"/>
      <labl>
        Over the past 30 days, what was the household total expenditure?
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="10700000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="exp_food" files="F1" dcml="0" intrvl="contin">
      <location StartPos="829" EndPos="840" width="12" RecSegNo="1"/>
      <labl>
        Over the past 30 days, what was the household total expenditure on food?
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8500000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="exp_health" files="F1" dcml="0" intrvl="contin">
      <location StartPos="841" EndPos="852" width="12" RecSegNo="1"/>
      <labl>
        Over the past 30 days, what was the household total expenditure on health care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1700000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="exp_hygeine" files="F1" dcml="0" intrvl="contin">
      <location StartPos="853" EndPos="864" width="12" RecSegNo="1"/>
      <labl>
        Over the past 30 days, what was the household total expenditure on hygiene
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="500000"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="Governorate" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="865" EndPos="876" width="12" RecSegNo="1"/>
      <labl>
        In which governorate does the family reside?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Akkar_North
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Baalbek_Bekaa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Beirut_Mount Lebanon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Nabatieh_South
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="symptoms_covid_fever" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="877" EndPos="888" width="12" RecSegNo="1"/>
      <labl>
        Covid symptoms you know: Fever
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="symptoms_covid_breathe" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="889" EndPos="900" width="12" RecSegNo="1"/>
      <labl>
        Covid symptoms you know: Breathing problems
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="symptoms_covid_other_symp" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="901" EndPos="912" width="12" RecSegNo="1"/>
      <labl>
        Covid symptoms you know: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="concerns_enough_money" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="913" EndPos="924" width="12" RecSegNo="1"/>
      <labl>
        Concerns to contact MoH: Not enough money
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="concerns_needed_treat" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="925" EndPos="936" width="12" RecSegNo="1"/>
      <labl>
        Concerns to contact MoH: Not receiving the required treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V79" name="concerns_other_conc" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="937" EndPos="948" width="12" RecSegNo="1"/>
      <labl>
        Concerns to contact MoH: Other concerns
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="concerns_poorly_treat" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="949" EndPos="960" width="12" RecSegNo="1"/>
      <labl>
        Concerns to contact MoH: Poor treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
