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  <citation>
    <titlStmt>
      <titl>Monthly food price estimates by product and market</titl>
      <subTitl>Congo, Dem. Rep., 84 markets, 2007/01/01-2023/06/01, version 2023-06-19</subTitl>
      <altTitl/>
      <parTitl/>
      <IDNo>COD_2021_RTFP_v02_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="World Bank, Development Data Group (DECDG), Data Analytics and Tools unit (DECAT)">Bo Pieter Johannes Andrée</AuthEnty>
      <othId role="Source of market price data" affiliation="United Nations" email="">
        <p>World Food Programme (WFP)</p>
      </othId>
      <othId role="Source of market price data" affiliation="United Nations" email="">
        <p>Food and Agriculture Organization (FAO)</p>
      </othId>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2023-06-20">NADA</software>
      <fundAg abbr="FCDO (formerly DFID)" role="Support to data analytics">Foreign, Commonwealth &amp; Development Office</fundAg>
      <fundAg abbr="FCDO (formerly DFID)" role="Data documentation and dissemination (FCV Data Platform)">Foreign, Commonwealth &amp; Development Office</fundAg>
      <fundAg abbr="DFAT" role="Support to methodological development in low data regions">Department of Foreign Affairs and Trade</fundAg>
      <fundAg abbr="DFAT" role="Support to methodological development in low data regions">Department of Foreign Affairs and Trade</fundAg>
      <fundAg abbr="BMZ" role="Expansion of coverage and maintenance">Federal Ministry for Economic Cooperation and Development as part of the World Bank’s Food Systems 2030 Multi-Donor Trust Fund</fundAg>
      <fundAg abbr="BMZ" role="Expansion of coverage and maintenance">Federal Ministry for Economic Cooperation and Development as part of the World Bank’s Food Systems 2030 Multi-Donor Trust Fund</fundAg>
      <grantNo/>
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      <depDate date=""/>
      <distDate date=""/>
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    <serStmt>
      <serName>Monthly food price estimates in fragile countries</serName>
      <serInfo><![CDATA[Real Time Food Prices (RTFP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group (DECDG) using a combination of direct price measurement and Machine Learning estimation of missing price data. The historical and current estimates are based on price information gathered from the World Food Program (WFP), UN-Food and Agricultural Organization (FAO), select National Statistical Offices, and are continually updated and revised as more price information becomes available. Real-time exchange rate data used in this process are from official and public sources.
      
To produce smooth price series, outliers in the data are often adjusted using non-parametric density estimation and other techniques. Generalized Auto-Regressive Conditional Heteroskedasticity models are used to estimate intra-month price ranges. These models allow for excess kurtosis using a Generalized Error Distribution (GED). Open, High, Low, and Close price estimates are provided based on the modeled time-varying price distributions.
      
Data are produced from 2007 to the present and estimates are given for individual commodity items at geo-referenced market locations. Predicted data for missing entries are based on exchange rates, and price data available either at other market locations or from related price items.
      
RTFP estimates of historical and current prices may serve as proxies for sub-national price inflation series or national-level Consumer Price Inflation (CPI) indicators when complete information is unavailable. Therefore, RTFP data may differ from other sources with official data, including the World Bank’s International Comparison Program (ICP) or inflation series reported in the World Development Indicators.
      
 The following datasets are part of this series: 

 Country-level inflation: 
 - All countries: https://microdata.worldbank.org/index.php/catalog/study/WLD_2021_RTFP-CTRY_v02_M 

 Market-level estimates: 
 - All countries: https://microdata.worldbank.org/index.php/catalog/study/WLD_2021_RTFP_v02_M 
 - Afghanistan: https://microdata.worldbank.org/index.php/catalog/study/AFG_2021_RTFP_v02_M 
 - Burundi: https://microdata.worldbank.org/index.php/catalog/study/BDI_2021_RTFP_v02_M 
 - Burkina Faso: https://microdata.worldbank.org/index.php/catalog/study/BFA_2021_RTFP_v02_M 
 - Central African Republic: https://microdata.worldbank.org/index.php/catalog/study/CAF_2021_RTFP_v02_M 
 - Cameroon: https://microdata.worldbank.org/index.php/catalog/study/CMR_2021_RTFP_v02_M 
 - Congo, Dem. Rep.: https://microdata.worldbank.org/index.php/catalog/study/COD_2021_RTFP_v02_M 
 - Congo, Rep.: https://microdata.worldbank.org/index.php/catalog/study/COG_2021_RTFP_v02_M 
 - Gambia, The: https://microdata.worldbank.org/index.php/catalog/study/GMB_2021_RTFP_v02_M 
 - Guinea-Bissau: https://microdata.worldbank.org/index.php/catalog/study/GNB_2021_RTFP_v02_M 
 - Haiti: https://microdata.worldbank.org/index.php/catalog/study/HTI_2021_RTFP_v02_M 
 - Iraq: https://microdata.worldbank.org/index.php/catalog/study/IRQ_2021_RTFP_v02_M 
 - Lao PDR: https://microdata.worldbank.org/index.php/catalog/study/LAO_2021_RTFP_v02_M 
 - Lebanon: https://microdata.worldbank.org/index.php/catalog/study/LBN_2021_RTFP_v02_M 
 - Liberia: https://microdata.worldbank.org/index.php/catalog/study/LBR_2021_RTFP_v02_M 
 - Mali: https://microdata.worldbank.org/index.php/catalog/study/MLI_2021_RTFP_v02_M 
 - Myanmar: https://microdata.worldbank.org/index.php/catalog/study/MMR_2021_RTFP_v02_M 
 - Mozambique: https://microdata.worldbank.org/index.php/catalog/study/MOZ_2021_RTFP_v02_M 
 - Niger: https://microdata.worldbank.org/index.php/catalog/study/NER_2021_RTFP_v02_M 
 - Nigeria: https://microdata.worldbank.org/index.php/catalog/study/NGA_2021_RTFP_v02_M 
 - Sudan: https://microdata.worldbank.org/index.php/catalog/study/SDN_2021_RTFP_v02_M 
 - Somalia: https://microdata.worldbank.org/index.php/catalog/study/SOM_2021_RTFP_v02_M 
 - South Sudan: https://microdata.worldbank.org/index.php/catalog/study/SSD_2021_RTFP_v02_M 
 - Syrian Arab Republic: https://microdata.worldbank.org/index.php/catalog/study/SYR_2021_RTFP_v02_M 
 - Chad: https://microdata.worldbank.org/index.php/catalog/study/TCD_2021_RTFP_v02_M 
 - Yemen, Rep.: https://microdata.worldbank.org/index.php/catalog/study/YEM_2021_RTFP_v02_M 
]]></serInfo>
    </serStmt>
    <verStmt>
      <version date="2023/06/19"/>
      <verResp>FCV Data Platform</verResp>
      <notes><![CDATA[]]></notes>
    </verStmt>
    <biblCit format=""><![CDATA[]]></biblCit>
    <notes><![CDATA[]]></notes>
  </citation>
  <stdyInfo>
    <studyBudget><![CDATA[]]></studyBudget>
    <subject>
      <keyword vocab="" vocabURI="">Food Price Monitor</keyword>
      <keyword vocab="" vocabURI="">FPM</keyword>
      <keyword vocab="" vocabURI="">Real Time Food Prices</keyword>
      <keyword vocab="" vocabURI="">RTFP</keyword>
      <keyword vocab="" vocabURI="">Inflation</keyword>
      <keyword vocab="" vocabURI="">Food Price Inflation</keyword>
      <keyword vocab="" vocabURI="">Food security</keyword>
      <keyword vocab="" vocabURI="">Food Insecurity</keyword>
      <keyword vocab="" vocabURI="">Food Crisis</keyword>
      <keyword vocab="" vocabURI="">Famine</keyword>
      <keyword vocab="" vocabURI="">Fragility</keyword>
      <keyword vocab="" vocabURI="">FCS</keyword>
      <keyword vocab="" vocabURI="">FCV</keyword>
      <keyword vocab="" vocabURI="">Food Price Crisis</keyword>
      <keyword vocab="" vocabURI="">Commodity prices</keyword>
      <keyword vocab="" vocabURI="">Maize</keyword>
      <keyword vocab="" vocabURI="">Sorghum</keyword>
      <keyword vocab="" vocabURI="">Wheat</keyword>
      <keyword vocab="" vocabURI="">Rice</keyword>
      <keyword vocab="" vocabURI="">Agricultural prices</keyword>
      <keyword vocab="" vocabURI="">Food prices</keyword>
      <keyword vocab="" vocabURI="">Real Time Food Prices</keyword>
      <keyword vocab="" vocabURI="">Price measurement</keyword>
      <keyword vocab="" vocabURI="">Real-time exchange rate data</keyword>
      <keyword vocab="" vocabURI="">Commodity items</keyword>
      <keyword vocab="" vocabURI="">Geo-referenced market locations</keyword>
      <keyword vocab="" vocabURI="">Sub-national price inflation series</keyword>
      <keyword vocab="" vocabURI="">Consumer Price Inflation (CPI)</keyword>
      <keyword vocab="" vocabURI="">National-level CPI indicators</keyword>
      <keyword vocab="" vocabURI="">International Comparison Program (ICP)</keyword>
      <keyword vocab="" vocabURI="">Inflation series</keyword>
      <keyword vocab="" vocabURI="">Market prices</keyword>
      <keyword vocab="" vocabURI="">Price analysis</keyword>
      <keyword vocab="" vocabURI="">Real-time data</keyword>
      <keyword vocab="" vocabURI="">National prices</keyword>
      <keyword vocab="" vocabURI="">International prices</keyword>
      <keyword vocab="" vocabURI="">Price fluctuations</keyword>
      <keyword vocab="" vocabURI="">Price trends</keyword>
      <keyword vocab="" vocabURI="">Price Volatility</keyword>
      <keyword vocab="" vocabURI="">Congo, Dem. Rep.</keyword>
    </subject>
    <abstract><![CDATA[Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations.
                    This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

                    A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.]]></abstract>
    <sumDscr>
      <timePrd date="2007/01/01" event="start" cycle=""/>
      <timePrd date="2023/06/01" event="end" cycle=""/>
      <collDate date="2007/01/01" event="start" cycle=""/>
      <collDate date="2023/06/01" event="end" cycle=""/>
      <nation abbr="COD">Congo, Dem. Rep.</nation>
      <geogCover/>
      <geogUnit>Sub-national level, Admin 2 (selected)</geogUnit>
      <anlyUnit><![CDATA[]]></anlyUnit>
      <universe><![CDATA[]]></universe>
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    <notes><![CDATA[List of food products included in estimates (not all products are included in country-level estimates): beans, cassava, cassava flour, fish, fish salted, fish smoked, maize, maize meal, meat beef, meat chicken, meat goat with bones, oil, plantains, rice, salt, sugar, wheat flour]]></notes>
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      <sampProc><![CDATA[]]></sampProc>
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    <notes><![CDATA[Information on the model used for Congo, Dem. Rep. (see working paper for more information)
Components: Beans (1 KG, Index Weight = 1), Cassava (Cossette) (1 KG, Index Weight = 1), Cassava Flour (1 KG, Index Weight = 1), Fish (Fresh) (1 KG, Index Weight = 1), Fish (Salted) (1 KG, Index Weight = 1), Fish (Smoked) (1 KG, Index Weight = 1), Maize (1 KG, Index Weight = 1), Maize Meal (1 KG, Index Weight = 1), Meat (Beef) (1 KG, Index Weight = 1), Meat (Chicken) (1 KG, Index Weight = 1), Meat (Goat, With Bones) (1 KG, Index Weight = 1), Oil (Palm) (1 L, Index Weight = 1), Plantains (1 KG, Index Weight = 1), Rice (Local) (1 KG, Index Weight = 1), Salt (1 KG, Index Weight = 1), Sugar (1 KG, Index Weight = 1), Wheat Flour (1 KG, Index Weight = 1)
Currency: CDF
Number of markets used: 86
Number of markets covered: 86
Number of food items: 17
Number of observations (food): beans: 3310, cassava: 2659, cassava_flour: 3258, fish: 2660, fish_salted: 2504, fish_smoked: 2443, maize: 3160, maize_meal: 2871, meat_beef: 2391, meat_chicken: 1545, meat_goat_with_bones: 2471, oil: 3464, plantains: 2777, rice: 3029, salt: 2890, sugar: 2958, wheat_flour: 1831
Number of observations (other): exchange_rate: 2977
Data coverage (food): 15.97%
Data coverage previous 12 months (food): 16.65%
Average annualized food inflation: 6.66%
Maximum food drawdown: -14.01%
Average annualized food volatility: 7.31%
Average monthly food price correlation between markets: 0.23
Average annual food price correlation between markets: 0.43
R squared individual food items: beans: 0.84, cassava: 0.93, cassava_flour: 0.81, fish: 0.94, fish_salted: 0.94, fish_smoked: 0.95, maize: 0.93, maize_meal: 0.93, meat_beef: 0.97, meat_chicken: 0.95, meat_goat_with_bones: 0.96, oil: 0.8, plantains: 0.91, rice: 0.93, salt: 0.91, sugar: 0.93, wheat_flour: 0.94
R squared individual other items: exchange_rate: 0.98
Index confidence score: 0.93
Imputation model: beans: cubist (Andree, 2021), cassava: two-stage cubist (Andree and Pape, 2023), cassava_flour: cubist (Andree, 2021), fish: two-stage cubist (Andree and Pape, 2023), fish_salted: two-stage cubist (Andree and Pape, 2023), fish_smoked: two-stage cubist (Andree and Pape, 2023), maize: two-stage cubist (Andree and Pape, 2023), maize_meal: two-stage cubist (Andree and Pape, 2023), meat_beef: two-stage cubist (Andree and Pape, 2023), meat_chicken: two-stage cubist (Andree and Pape, 2023), meat_goat_with_bones: two-stage cubist (Andree and Pape, 2023), oil: cubist (Andree, 2021), plantains: two-stage cubist (Andree and Pape, 2023), rice: two-stage cubist (Andree and Pape, 2023), salt: two-stage cubist (Andree and Pape, 2023), sugar: two-stage cubist (Andree and Pape, 2023), wheat_flour: two-stage cubist (Andree and Pape, 2023)
 

]]></notes>
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      <dataAppr><![CDATA[]]></dataAppr>
    </anlyInfo>
    <stdyClas><![CDATA[]]></stdyClas>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
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  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI="">World Bank Microdata Library, FCV Collection</accsPlac>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
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      <notes><![CDATA[]]></notes>
    </setAvail>
    <useStmt>
      <restrctn>The estimates presented in this dataset are all based on publicly-available data from the World Food Programme.
          The dataset of price estimates is published as open data.</restrctn>
      <contact affiliation="World Bank, Development Data Group" URI="https://datahelpdesk.worldbank.org/" email="">Data Help Desk</contact>
      <citReq><![CDATA[Please cite this dataset as follows: Andrée, B. P. J. (2021). Monthly food price estimates by product and market (Version 2023-06-19). COD_2021_RTFP_v02_M. Washington, DC: World Bank Microdata Library. https://doi.org/10.48529/2ZH0-JF55]]></citReq>
      <deposReq><![CDATA[]]></deposReq>
      <conditions><![CDATA[]]></conditions>
      <disclaimer><![CDATA[The RTFP data and metadata provided are &quot;as is&quot; and &quot;as available,&quot; and every effort is made to ensure their timeliness, accuracy, and completeness. When errors are discovered, they are corrected as appropriate and feasible. For details on the terms and conditions for usage of the RTFP database, please refer to the license details.]]></disclaimer>
    </useStmt>
    <notes><![CDATA[]]></notes>
  </dataAccs>
  <notes><![CDATA[]]></notes>
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      <caseQnty>17226</caseQnty>
      <varQnty>144</varQnty>
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  <labl>Longitude</labl>
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  <labl>Components (products)</labl>
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  <labl>Start dense data</labl>
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</var>
<var ID="V015" name="last_survey_point" files="COD_2021_RTFP_MKT">
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</var>
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<var ID="V020" name="beans" files="COD_2021_RTFP_MKT">
  <labl>Beans</labl>
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</var>
<var ID="V021" name="cassava" files="COD_2021_RTFP_MKT">
  <labl>Cassava</labl>
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</var>
<var ID="V022" name="cassava_flour" files="COD_2021_RTFP_MKT">
  <labl>Cassava flour</labl>
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</var>
<var ID="V023" name="fish" files="COD_2021_RTFP_MKT">
  <labl>Fish</labl>
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</var>
<var ID="V024" name="fish_salted" files="COD_2021_RTFP_MKT">
  <labl>Fish salted</labl>
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</var>
<var ID="V025" name="fish_smoked" files="COD_2021_RTFP_MKT">
  <labl>Fish smoked</labl>
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</var>
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  <labl>Maize</labl>
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</var>
<var ID="V027" name="maize_meal" files="COD_2021_RTFP_MKT">
  <labl>Maize meal</labl>
  <sumStat type="Number of valid values">2841</sumStat>
</var>
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</var>
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  <labl>Meat chicken</labl>
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</var>
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</var>
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  <sumStat type="Number of valid values">2859</sumStat>
</var>
<var ID="V036" name="wheat_flour" files="COD_2021_RTFP_MKT">
  <labl>Wheat flour</labl>
  <sumStat type="Number of valid values">1784</sumStat>
</var>
<var ID="V037" name="o_beans" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Beans</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V038" name="h_beans" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Beans</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V039" name="l_beans" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Beans</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V040" name="c_beans" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Beans</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V041" name="inflation_beans" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Beans</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V042" name="trust_beans" files="COD_2021_RTFP_MKT">
  <labl>Trust - Beans</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V043" name="o_cassava" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Cassava</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V044" name="h_cassava" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Cassava</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V045" name="l_cassava" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Cassava</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V046" name="c_cassava" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Cassava</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V047" name="inflation_cassava" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Cassava</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V048" name="trust_cassava" files="COD_2021_RTFP_MKT">
  <labl>Trust - Cassava</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V049" name="o_cassava_flour" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Cassava flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V050" name="h_cassava_flour" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Cassava flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V051" name="l_cassava_flour" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Cassava flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V052" name="c_cassava_flour" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Cassava flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V053" name="inflation_cassava_flour" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Cassava flour</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V054" name="trust_cassava_flour" files="COD_2021_RTFP_MKT">
  <labl>Trust - Cassava flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V055" name="o_fish" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Fish</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V056" name="h_fish" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Fish</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V057" name="l_fish" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Fish</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V058" name="c_fish" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Fish</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V059" name="inflation_fish" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Fish</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V060" name="trust_fish" files="COD_2021_RTFP_MKT">
  <labl>Trust - Fish</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V061" name="o_fish_salted" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Fish salted</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V062" name="h_fish_salted" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Fissalted</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V063" name="l_fish_salted" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Fish salted</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V064" name="c_fish_salted" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Fish salted</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V065" name="inflation_fish_salted" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Fish salted</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V066" name="trust_fish_salted" files="COD_2021_RTFP_MKT">
  <labl>Trust - Fish salted</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V067" name="o_fish_smoked" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Fish smoked</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V068" name="h_fish_smoked" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Fissmoked</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V069" name="l_fish_smoked" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Fish smoked</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V070" name="c_fish_smoked" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Fish smoked</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V071" name="inflation_fish_smoked" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Fish smoked</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V072" name="trust_fish_smoked" files="COD_2021_RTFP_MKT">
  <labl>Trust - Fish smoked</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V073" name="o_maize" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Maize</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V074" name="h_maize" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Maize</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V075" name="l_maize" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Maize</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V076" name="c_maize" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Maize</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V077" name="inflation_maize" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Maize</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V078" name="trust_maize" files="COD_2021_RTFP_MKT">
  <labl>Trust - Maize</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V079" name="o_maize_meal" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Maize meal</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V080" name="h_maize_meal" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Maize meal</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V081" name="l_maize_meal" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Maize meal</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V082" name="c_maize_meal" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Maize meal</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V083" name="inflation_maize_meal" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Maize meal</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V084" name="trust_maize_meal" files="COD_2021_RTFP_MKT">
  <labl>Trust - Maize meal</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V085" name="o_meat_beef" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Meat beef</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V086" name="h_meat_beef" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Meat beef</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V087" name="l_meat_beef" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Meat beef</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V088" name="c_meat_beef" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Meat beef</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V089" name="inflation_meat_beef" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Meat beef</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V090" name="trust_meat_beef" files="COD_2021_RTFP_MKT">
  <labl>Trust - Meat beef</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V091" name="o_meat_chicken" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Meat chicken</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V092" name="h_meat_chicken" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Meat chicken</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V093" name="l_meat_chicken" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Meat chicken</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V094" name="c_meat_chicken" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Meat chicken</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V095" name="inflation_meat_chicken" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Meat chicken</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V096" name="trust_meat_chicken" files="COD_2021_RTFP_MKT">
  <labl>Trust - Meat chicken</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V097" name="o_meat_goat_with_bones" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Meat goat with bones</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V098" name="h_meat_goat_with_bones" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Meat goat witbones</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V099" name="l_meat_goat_with_bones" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Meat goat with bones</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V100" name="c_meat_goat_with_bones" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Meat goat with bones</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V101" name="inflation_meat_goat_with_bones" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Meat goat with bones</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V102" name="trust_meat_goat_with_bones" files="COD_2021_RTFP_MKT">
  <labl>Trust - Meat goat with bones</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V103" name="o_oil" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Oil</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V104" name="h_oil" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Oil</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V105" name="l_oil" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Oil</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V106" name="c_oil" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Oil</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V107" name="inflation_oil" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Oil</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V108" name="trust_oil" files="COD_2021_RTFP_MKT">
  <labl>Trust - Oil</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V109" name="o_plantains" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Plantains</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V110" name="h_plantains" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Plantains</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V111" name="l_plantains" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Plantains</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V112" name="c_plantains" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Plantains</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V113" name="inflation_plantains" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Plantains</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V114" name="trust_plantains" files="COD_2021_RTFP_MKT">
  <labl>Trust - Plantains</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V115" name="o_rice" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Rice</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V116" name="h_rice" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Rice</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V117" name="l_rice" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Rice</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V118" name="c_rice" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Rice</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V119" name="inflation_rice" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Rice</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V120" name="trust_rice" files="COD_2021_RTFP_MKT">
  <labl>Trust - Rice</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V121" name="o_salt" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Salt</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V122" name="h_salt" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Salt</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V123" name="l_salt" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Salt</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V124" name="c_salt" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Salt</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V125" name="inflation_salt" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Salt</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V126" name="trust_salt" files="COD_2021_RTFP_MKT">
  <labl>Trust - Salt</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V127" name="o_sugar" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Sugar</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V128" name="h_sugar" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Sugar</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V129" name="l_sugar" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Sugar</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V130" name="c_sugar" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Sugar</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V131" name="inflation_sugar" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Sugar</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V132" name="trust_sugar" files="COD_2021_RTFP_MKT">
  <labl>Trust - Sugar</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V133" name="o_wheat_flour" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Wheat flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V134" name="h_wheat_flour" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Wheat flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V135" name="l_wheat_flour" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Wheat flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V136" name="c_wheat_flour" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Wheat flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V137" name="inflation_wheat_flour" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Wheat flour</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V138" name="trust_wheat_flour" files="COD_2021_RTFP_MKT">
  <labl>Trust - Wheat flour</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V139" name="o_food_price_index" files="COD_2021_RTFP_MKT">
  <labl>Open estimate - Food price index</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V140" name="h_food_price_index" files="COD_2021_RTFP_MKT">
  <labl>High estimate - Food price index</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V141" name="l_food_price_index" files="COD_2021_RTFP_MKT">
  <labl>Low estimate - Food price index</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V142" name="c_food_price_index" files="COD_2021_RTFP_MKT">
  <labl>Close estimate - Food price index</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
<var ID="V143" name="inflation_food_price_index" files="COD_2021_RTFP_MKT">
  <labl>Inflation - Food price index</labl>
  <sumStat type="Number of valid values">16182</sumStat>
</var>
<var ID="V144" name="trust_food_price_index" files="COD_2021_RTFP_MKT">
  <labl>Trust - Food price index</labl>
  <sumStat type="Number of valid values">17226</sumStat>
</var>
</dataDscr></codeBook>
