COVID-19 Impact on Rural Men and Women in Nigeria, Round 5 (doi:10.7910/DVN/816ZCO)

View:

Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

COVID-19 Impact on Rural Men and Women in Nigeria, Round 5

Identification Number:

doi:10.7910/DVN/816ZCO

Distributor:

Harvard Dataverse

Date of Distribution:

2022-03-24

Version:

1

Bibliographic Citation:

International Food Policy Research Institute (IFPRI), 2022, "COVID-19 Impact on Rural Men and Women in Nigeria, Round 5", https://doi.org/10.7910/DVN/816ZCO, Harvard Dataverse, V1, UNF:6:VJla3NvtNO2ewxvWUIc/QA== [fileUNF]

Study Description

Citation

Title:

COVID-19 Impact on Rural Men and Women in Nigeria, Round 5

Identification Number:

doi:10.7910/DVN/816ZCO

Authoring Entity:

International Food Policy Research Institute (IFPRI)

Other identifications and acknowledgements:

Claudia Ringler (International Food Policy Research Institute (IFPRI))

Other identifications and acknowledgements:

Elizabeth Bryan (International Food Policy Research Institute (IFPRI))

Other identifications and acknowledgements:

Shirley Jeoffreys (Finmark)

Other identifications and acknowledgements:

CGIAR Gender Platform

Other identifications and acknowledgements:

CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS)

Producer:

International Food Policy Research Institute (IFPRI)

Date of Production:

2021

Software used in Production:

STATA

Distributor:

Harvard Dataverse

Distributor:

International Food Policy Research Institute (IFPRI)

Access Authority:

IFPRI-Data

Depositor:

IFPRI-KM

Date of Deposit:

2022-03-03

Date of Distribution:

2022

Series Name:

Household- and Community-level Surveys

Holdings Information:

https://doi.org/10.7910/DVN/816ZCO

Study Scope

Keywords:

Agricultural Sciences, Social Sciences, Agricultural Sciences, Social Sciences, COVID-19, rural areas, men, women, health, shock, NIGERIA, WEST AFRICA, AFRICA SOUTH OF SAHARA, AFRICA

Topic Classification:

COVID-19, Gender, Health

Abstract:

This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nigeria. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

Time Period:

2021-2021

Date of Collection:

2021-06-26-2021-07-13

Country:

Nigeria

Geographic Unit(s):

Village

Unit of Analysis:

Individual

Unit of Analysis:

Household

Universe:

Rural households in the Kaduna state and Cross Rivers

Kind of Data:

sample survey data (SSD)

Methodology and Processing

Time Method:

Cross-section

Sampling Procedure:

A sample of about 500 individuals were drawn using systematic random sampling from an existing list of phone numbers from ‘Agro-Processing Productivity Enhancement and Livelihood Improvement Support (APPEALS)’ survey, which IFPRI conducted in the Kaduna state and Cross Rivers of Nigeria. These regions were also the Feed the Future zones of influence. The fourth wave of phone survey was conducted in June 2021 with 497 respondents. Female respondents represent about 50 percent of the sample.

Mode of Data Collection:

Telephone interview

Type of Research Instrument:

Structured questionnaire

Sources Statement

Data Access

Citation Requirement:

International Food Policy Research Institute (IFPRI). 2022. COVID-19 Impact on Rural Men and Women in Nigeria, Round 5. Washington, DC: IFPRI [dataset]. <a href="https://doi.org/10.7910/DVN/816ZCO">https://doi.org/10.7910/DVN/816ZCO</a>. Harvard Dataverse. Version 1.

Disclaimer:

<p>IFPRI adheres to the principle of unrestricted public access to its own final research outputs and will make such outputs freely available. The Institute encourages the use of the <b>COVID-19 Impact on Rural Men and Women in Nigeria, Round 5</b> dataset; for detailed information on its use, please refer to <a href="https://www.ifpri.org/intellectual-property-policy">IFPRI’s Intellectual Property Policy</a>. The data files in this dataset are unit record or ‘raw’ data files. Information that would allow survey respondents to be identified has been deleted from the files, but all other information remains. IFPRI’s decision not to alter the contents of the data files means that the user of these files will need to take care in handling missing observations, outliers, and violations of logical consistency. </p><p>The data are provided ‘as is’ and in no event shall IFPRI be liable for any damages resulting from the use of the data. While great effort was taken to obtain high-quality data, the accuracy or reliability of the data is not guaranteed or warranted in any way.</p>

Notes:

<h3>IFPRI Datasets Terms of Use Statement</h3> <h4>(December 2019)</h4> <p> <strong>1. Description </strong></p> <p>The International Food Policy Research Institute (IFPRI) views the products of its research including research dataset(s) as global public goods and is committed to enabling their widespread distribution and use by providing unrestricted public access. This is in keeping with the <a href="https://www.ifpri.org/cdmref/p15738coll2/id/133308/filename/133517.pdf">IFPRI Research Data Management and Open Access (RDMOA) Policy</a> and the <a href="https://cgspace.cgiar.org/bitstream/handle/10947/4488/Open%20Access%20Data%20Management%20Policy.pdf?sequence=1&isAllowed=y">CGIAR Open Access and Data Management Policy </a> (each, a “Policy” and together, the “Policies”).</p> <p>IFPRI makes all its research data publicly available through the “IFPRI Dataverse.” The IFPRI Dataverse houses and is comprised of datasets collected during the course of IFPRI research, including data tables in various standard formats, survey instruments, codebooks, metadata, and other associated documentation. IFPRI Dataverse is a network member of Harvard Dataverse, which is a repository for research data hosted at <a href="https://dataverse.harvard.edu/">Institute for Quantitative Social Science (IQSS)</a>, Harvard University.</p> <p>IFPRI is the owner of the “IFPRI Dataverse” (sometimes referred to in these Terms of Use as the “Site”). The Communications and Public Affairs (CPA) division of IFPRI operates this Site on behalf of IFPRI. For questions pertaining to these terms of use, licenses, or concerns, please contact <a href="mailto:IFPRI-Data@cgiar.org">IFPRI-Data@cgiar.org</a>.</p> <p>In the event of any conflict between these Terms of Use and either of the Policies, the terms of the applicable Policy shall control with respect to, and to the extent of, any such conflicting terms.</p> <p> <strong>2. Adoption, Acceptance, and Changes to Terms of Use </strong></p> <p>By using this Site, downloading or otherwise accessing any dataset or other materials or content made available through it, you (“you” or “user”), acknowledge that you understand and intend these Terms of Use to be the legal equivalent of a signed, written contract and equally binding, and that you accept the terms of and agree to be legally bound by these Terms of Use. IFPRI may change these Terms of Use without prior notification. However, any modifications to the Terms of Use will only be effective for the download/use of this Site subsequent to such modification. Your continued download of datasets or any other use of this Site subsequent to reasonable notice of such modification will be conclusively deemed acceptance of any such modification to these Terms of Use. You agree that notice of changes to these Terms of Use posted on this Site constitutes reasonable and sufficient notice. We consider it is incumbent upon users to read these terms to be aware of changes. At all times, you are bound by the then-current version of these Terms of Use and all applicable laws. Accordingly, we highly recommend that you review these Terms of Use from time to time to ensure that you are familiar with the most recent version. </p> <p> <strong>3. Use of the Materials/Site </strong></p> <p>By using this Site or downloading, or otherwise accessing the IFPRI Dataverse, users acknowledge:</p> <ol> <li>The dataset or any other materials made available through the site will be used solely for reporting aggregated information, and not for investigation of specific individuals or organizations.</li> <li>IFPRI will not be responsible or held accountable for any interpretations or conclusions that users may arrive from the use of dataset or materials available on the Site.</li> <li>No attempt will made to re-identify research subjects from the data or materials that are accessed from the site, and no use will be made of the identify of any person, institutions or establishment discovered inadvertently. If user becomes aware of any violation of the foregoing, user will immediately report it to <a href="mailto:IFPRI-Data@cgiar.org"> IFPRI-Data</a>.</li> <li>No attempt will be made to produce links among datasets, datafiles or any other materials that are available through this site; and the datasets, datafiles, and other materials from this site and other existing datasets/materials that are available from other organizations or accessible over the internet to identify individuals, organizations or establishments, not limited to research subjects.</li> <li>No attempt will be made to extract information from the materials in the Site that could help user to find means of contacting any research subjects of the dataset already known to the User. <li>Any publications resulting from the use of data will cite IFPRI as the source of data in accordance with the Citation Requirement provided within each dataset.</li></ol> <p>In addition, you may not use Content in any manner that suggests the endorsement or association of any third-party entity, person, product or service by IFPRI unless express written permission has been given by IFPRI in advance. Except as expressly permitted hereunder in Section 4, you may not under any circumstances: (a) copy, print or download in any medium all or substantially all of the Content; (b) modify any Content; or (c) copy, distribute, or reverse engineer any underlying software code for this Site and/or Content. Unless and except as otherwise expressly permitted by these Terms of Use, you may not access, copy, reproduce, modify, create derivative works of, alter, publicly distribute, republish, upload, post, transmit, publicly perform or display, license, transfer, sell, mirror, frame, “deep link,” “scrape,” data mine, or otherwise use any information or material obtained from or through this Site, without written permission from IFPRI. You may not remove or obscure any copyright notices or other notices of intellectual property rights from this Site or any content available on or through this Site. Any unauthorized use of this Site or the Content will terminate the permission granted by these Terms of Use and may violate applicable laws, including copyright, trademark, database laws, and commercial regulations and statutes.</p> <p>In addition to Third-Party Materials (as described in Section 6), there may be certain Content that may have more restrictive terms of use (e.g., particular datasets, including those related to the “Africa RISING” program, that may have timing and other restrictions, such as when IFPRI may first make the relevant data generally publicly available). In such case, users shall at all times comply with any and all such additional restrictions, and shall not attempt to circumvent any relevant technical, administrative or other security measures, or otherwise seek to obtain unauthorized access to such Content. </p> <p> <strong>4. Copyright and Licenses</strong></p> <p>IFPRI is the owner of the datasets that are produced by IFPRI. In addition, IFPRI is the owner of this Site, and the data, datasets, and other content provided on this Site (all such content collectively, the “Content”) are the exclusive property of IFPRI and/or its affiliates, or are used with permission from third-party licensors, and are protected by law, including United States copyright, database, trade secret, and trademark law, as well as other state, national, and international laws and regulations. Except as expressly provided in these Terms of Use, IFPRI does not grant any express or implied rights to you. IFPRI owns copyright rights in this Site as a collective work and/or compilation, and in its datasets accessible on or through this Site.</p> <p>Except where there is a statement that a non-CC license is being used, materials will be made available under the <strong>Creative Commons Attribution 4.0 International</strong> (<a href="https://creativecommons.org/licenses/by/4.0/deed.ast">CC-BY-4.0</a>). This license contains permission to reuse, distribute, and reproduce content even for commercial purposes. IFPRI grants this license under the condition that any reuse will contain attribution of the content to IFPRI and any named authors of the dataset in the form of citations as per applicable industry standards and best practices for citing data, or as otherwise acceptable to IFPRI in its reasonable discretion. Notwithstanding the foregoing, IFPRI reserves the right, in its reasonable discretion to choose not to be associated with certain reports and other products that cite the relevant data, and in any such event, IFPRI may notify the user, and the user shall promptly comply with IFPRI’s requests related thereto.</p> <p> <strong>5. Attribution for Adaptations and Derivatives</strong></p> <ol> <li><strong> Attribution</strong>: Regardless of any other license terms governing the use of a dataset, any use of the dataset or their content must be attributed with proper citation according to recognized citation format standards to include: authorship, year, title of the dataset, publisher, and reference URI (Uniform Resource Identifier).</li> <li><strong>Adaptations</strong>:Except as otherwise specified by IFPRI, if you use a dataset from this Site under CC BY or any other license that permits you to make adaptations, you must add (after the attribution language) the following explanation to the adaptation that you create: <p><i>“This data was provided by the International Food Policy Research Institute (IFPRI). IFPRI bears no responsibility for the analyses or interpretations of the data presented here.”</i></p> </ol> <p> <strong>6. Third Parties</strong></p> <p>In general, no matter what license applies to each particular dataset, there may be links or references on this Site to third parties and material owned (in whole or in part) by third parties, including datasets that may have more restrictive terms of use. IFPRI therefore does not warrant that the use of any third-party-owned datasets, individual components/elements, data, or other material contained or otherwise made available on or through this Site (collectively “Third-Party Materials”) will not infringe on or otherwise violate the copyright or other rights of third parties. The risk of claims resulting from such infringement or other violation or unauthorized use rests solely with users of this Site. If you wish to re-use any such Third-Party Materials, it is your responsibility to determine whether permission is needed for that re-use and to obtain permission from the applicable owner. Any descriptions of, references to, or links to third parties or third-party products, publications or services does not imply endorsements of any kind, unless expressly stated by IFPRI. IFPRI expressly disclaims any responsibility for the content, the accuracy of the information, and/or quality of products or services provided by or otherwise made available by such third parties (including the Third-Party Materials, and any information and materials on any third-party sites).</p> <p> <strong>7. Non-endorsement</strong></p> <p>Nothing in these Terms of Use or on this Site shall be construed as granting you any right or license to use any trademarks, service marks or logos displayed on the Site. Unless otherwise noted, INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE, IFPRI, IFPRI DATAVERSE, , and other brands and logos featured on this Site constitute IFPRI’s trade/service marks. You agree not to: (a) use or register any name, logo or insignia of IFPRI or any of its projects for any purpose including publicity releases, advertising or email communications or in any other manner, including customer lists, without securing prior written approval of the Communications and Public Affairs (CPA) Director or Director General (DG) of IFPRI; (b) challenge or contest the validity or IFPRI’s ownership of such trademarks, any of the Content, or any other IFPRI intellectual property; or (c) assist any third party in doing so. </p> <p> This Site may also include the product, service and company names, as well as logos, of third parties. Such third-party designations are the trade/service marks of their respective owners, and may not be used without the prior written permission of their respective owners.</p> <p> <strong>8. Indemnification</strong></p> <p>The user shall indemnify and hold harmless IFPRI, its affiliates and related organizations, and each of their respective officers, directors, employees, legal representatives, agents, successors and assigns, from and against any damages, liabilities, judgments, settlements, costs and expenses (including reasonable attorneys’ and professionals’ fees and court costs arising out of any third-party claims based on (a) the use or misuse of this Site or data or any other materials or Content made available through this Site; (b) any changes made by the user to the downloaded data; (c) any breach by the user of any of the term and conditions of these Terms of Use; (d) ) infringement by you, or any third party using your account, of any intellectual property or other right of any person or entity, including but not limited to any breach by you of these Terms of Use.</p> <p> <strong>9. Disclaimers and Limitation of Liability</strong></p> <p>IFPRI PROVIDES THE DATA AND OTHER MATERIALS ON THE IFPRI DATAVERSE AND ALL CONTENT ON AN “AS IS,” AND “AS AVAILABLE” BASIS, AND IFPRI EXPRESSLY DISCLAIMS ALL WARRANTIES REPRESENTATIONS, INDEMNITIES AND GUARANTEES, WHETHER EXPRESS OR IMPLIED, ARISING BY LAW, CUSTOM, PRIOR ORAL OR WRITTEN STATEMENTS BY IFPRI, WITH RESPECT TO ALL SUCH DATA AND OTHER CONTENT (INCLUDING, BUT NOT LIMITED TO ANY WARRANTY OF SATISFACTORY QUALITY, MERCHANTABILITY, FITNESS FOR PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT, ACCURACY, TIMELINESS, AND COMPLETENESS) TO THE MAXIMUM EXTENT ALLOWED BY LAW. IFPRI FURTHER DISCLAIMS, AND SHALL HAVE NO LIABILITY FOR, ANY ERRORS, OMISSIONS, INACCURACIES, OR INTERRUPTIONS IN THE DATA, ANY OTHER CONTENT, OR THIS SITE. USERS SHALL NOT MAKE ANY STATEMENT REGARDING THE USE OF THE IFPRI DATAVERSE THAT IS CONTRADICTORY TO OR INCONSISTENT WITH THE FOREGOING STATEMENTS. IN NO EVENT SHALL IFPRI BE LIABLE FOR INDIRECT, SPECIAL, INCIDENTAL, CONSEQUENTIAL, EXEMPLARY OR PUNITIVE DAMAGES ARISING UNDER OR RELATING TO THESE TERMS OF USE, OR FOR LOST PROFITS, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. IFPRI SHALL NOT BE LIABLE TO ANY THIRD PARTIES FOR ANY CLAIM OR DEMAND BASED ON OR RELATING TO THESE TERMS OF USE, OR USE OF THE IFPRI DATAVERSE. </p> <p>TO THE EXTENT PERMITTED BY LAW, IFPRI DISCLAIMS LIABILITY FOR ANY DIRECT DAMAGES BASED ON YOUR ACCESS OR USE OF THIS SITE AND ITS CONTENT.</p> <p> <strong>10. Misuse</strong></p> <p> IFPRI reserves the right in its sole discretion to cancel or suspend access to the dataset or any material in the IFPRI Dataverse or any other Content, or terminate these Terms of Use, at any time and for any reason, including but not limited to the following reasons: violation of these Terms of Use; violation of intellectual property rights; misrepresentation of identity; protection of this Site from perceived threats electronic or otherwise; and illegal activity on this Site. </p> <p> <strong>11. Use of Your Data</strong></p> <p> The IFPRI Dataverse is a network member of the <a href="https://dataverse.harvard.edu/"> Harvard Dataverse</a>. <a href="http://best-practices.dataverse.org/harvard-policies/harvard-privacy-policy.html">Harvard Dataverse Privacy Policy</a> explains what information are collected through this application and how this information is handled. This policy also applies to the IFPRI Dataverse and this Site. Further when guestbook feature is activated for the data and materials that you are downloading through the IFPRI Dataverse, users are required to provide some information including name and email. This information resides in the server of Harvard University and is also available to IFPRI (e.g., the Dataverse administrator and curator). IFPRI will implement and maintain procedures to protect your information that is downloaded from the guestbook. IFPRI is fully committed to safeguarding the privacy of our users. Please see <a href="https://www.ifpri.org/privacy-cookie-policy">IFPRI’s Privacy Policy </a>for information regarding the use and handling of personal information. These privacy policies are made a part of, and incorporated by reference into, these Terms of Use.</p> <p><strong>12. Miscellaneous</strong></p> <p>Except as permitted under Section 4, the user may not assign, transfer or delegate any of its rights and obligations hereunder without consent. No agency, partnership, joint venture, or employment relationship is created as a result of these Terms of Use and neither party has any authority of any kind to bind the other in any respect outside of the terms described within these Terms of Use. In any action or proceeding to enforce rights under these Terms of Use, the prevailing party will be entitled to recover costs and attorneys’ fees.</p> <p>Failure to insist on strict performance of any of the provisions of these Terms of Use will not operate as a waiver of any subsequent default or failure of performance. No waiver by IFPRI of any right under these Terms of Use will be deemed to be either a waiver of any other right or provision or a waiver of that same right or provision at any other time. Any rights not expressly granted under these Terms of Use are reserved by IFPRI. These Terms of Use shall be governed by the laws of the District of Columbia without reference to its conflict of law principles. The parties hereby consent to the jurisdiction of the courts located in Washington, D.C. in any action arising out of or relating to these Terms of Use, and agree that any action arising out of or relating to these Terms of Use shall be maintained in the same jurisdiction. </p> <p>No joint venture, partnership, employment, agency or other relationship exists between you and IFPRI as a result of these Terms of Use or your use of this Site. If any provision of these Terms of User is held unlawful, void or unenforceable for any reason by a court or tribunal of competent jurisdiction, that provision shall be enforced to the maximum extent permissible so as to effect the intent of the parties, and the remainder of these Terms of Use shall continue in full force and effect. </p>

Other Study Description Materials

Related Materials

<a href="https://gcan.ifpri.info/files/2021/03/GCAN-phone-survey-cross-country-results.pdf">Gendered Impacts of Covid-19 in 7 Feed-the-Future Countries</a>

Related Studies

<a href="https://doi.org/10.7910/DVN/PZJ7CK">COVID-19 Impact on Rural Men and Women in Nigeria, Round 1</a>

</p> <a href="https://doi.org/10.7910/DVN/2J4O8W">COVID-19 Impact on Rural Men and Women in Nigeria, Round 2</a>

</p><a href="https://doi.org/10.7910/DVN/MLRR0Q">COVID-19 Impact on Rural Men and Women in Nigeria, Round 3</a>

</p><a href="https://doi.org/10.7910/DVN/B5VSGH">COVID-19 Impact on Rural Men and Women in Nigeria, Round 4</a>

File Description--f6056808

File: Nigeria_COVID19_R5_codebook_responses.tab

  • Number of cases: 743

  • No. of variables per record: 3

  • Type of File: text/tab-separated-values

Notes:

UNF:6:TE4Ev9xf29meKWF/2rqXkg==

File Description--f6056806

File: Nigeria_COVID19_R5_codebook.tab

  • Number of cases: 204

  • No. of variables per record: 5

  • Type of File: text/tab-separated-values

Notes:

UNF:6:a9eGBuYb+fRHPNlvy5boKQ==

File Description--f6058195

File: Nigeria_COVID19_R5.tab

  • Number of cases: 497

  • No. of variables per record: 203

  • Type of File: text/tab-separated-values

Notes:

UNF:6:JhY0dfgZzgtr6Qd8tsL27g==

Panel

Survey

Variable Description

List of Variables:

  • list_name - list_name
  • value - value
  • label - label
  • name - name
  • label - label
  • type - type
  • choices - choices
  • recode - recode
  • w5instanceid - InstanceID
  • unique_id - Enter ID to pull details from previous wave
  • w5wave5 - Wave5
  • w5shell_country - Country
  • w5shell_language - Language selection
  • w5shell_gender - Gender
  • w5shell_age - What was your age last birthday?
  • w5shell_ageshell_age_age - @Exact Age : What was your age last birthday?
  • w5shell_age_recoded - Age groups
  • w5instanceid_w1 - Instance ID from Wave 1
  • w5b_09_w1 - B_09 Response from wave 1
  • w5b10_w1 - B_10 Response from wave 1
  • w5b17_w1 - B_17 Response from wave 1
  • w5g_01_w1 - G_01 Response from wave 1
  • w5g_02_w1 - G_02 Response from wave 1
  • w5g_03_w1 - G_03 Response from wave 1
  • w5g_04_w1 - G_04 Response from wave 1
  • w5a_02_1code - A.02 Enumeratior code
  • w5a_03 - Is the respondent able to talk?
  • w5a_03_c_7 - @Other (Specify) : Is the respondent able to talk?
  • w5a_04 - Time of day
  • consent - Did the respondent consent to be surveyed?
  • speaker2 - B.00: Is the phone on speaker?
  • w5b01 - B.01 Gender of respondent
  • w5b03 - B.03 Have you added any new members to your household since the last time we spo
  • w5b03a - B.03a How many people now live in your household?
  • w5b03b - B.03b How many adults aged 18-59 now live in your household?
  • w5b03c - B.03c How many children 5 years or younger now live in your household?
  • w5b03d - B.03d How many people aged 60 years or older now live in your household?
  • w5b03e - B.03e How many children aged 6 -17 now live in your household?
  • w5b04 - B.04 What is your current (main) occupation? That is, what kind of work do you m
  • w5b04a - B.04a What is your secondary occupation? That is, are you currently doing any ot
  • w5b05_1 - Staple crops such as rice, maize, sorghum, cassava, wheat, millet, pulses : What
  • w5b05_2 - Horticulture such as fruits and vegetables : What kind of farming or livestock?
  • w5b05_3 - Other cash crops for example spices or castor : What kind of farming or livestoc
  • w5b05_4 - Dairy : What kind of farming or livestock? Is it...
  • w5b05_5 - Sheep, goat, and pig rearing : What kind of farming or livestock? Is it...
  • w5b05_6 - Poultry : What kind of farming or livestock? Is it...
  • w5b05_7 - Other : What kind of farming or livestock? Is it...
  • w5b06 - Has the work that you do changed because of the Covid-19 pandemic?
  • w5b06a - How has the work that you do changed?
  • w5b07 - Why do you not work?
  • w5b08 - What is your spouse's or partner's main occupation? That is, what kind of work d
  • w5b08a - What is your spouse's secondary occupation? That is, is your spouse currently do
  • w5b09 - What kind of farming or livestock? Is it...
  • w5b010 - Has the work that your spouse does changed because of the Covid-19 pandemic?
  • w5b010a - How has the work that your spouse does changed?
  • w5b011 - Why does your spouse not work?
  • w5c_01a_1 - C01a: 1=Unemployment/loss of income
  • w5c_01a_2 - C01a: 2=Food access
  • w5c_01a_3 - C01a: 3=Shops being closed
  • w5c_01a_4 - C01a: 4=Travel restrictions
  • w5c_01a_5 - C01a: 5=Temple/Church/mosque being closed
  • w5c_01a_6 - C01a: 6=School closures
  • w5c_01a_7 - C01a: 7=Additional people living with the household
  • w5c_01a_8 - C01a: 8=Social distancing/quarantine
  • w5c_01a_9 - C01a: 9=Being sick, fear of getting sick, or fear of dying
  • w5c_01a_10 - C01a: 10=Other, specify (record verbatim)
  • w5c_01a_10_c_10 - C01a: Specify other
  • w5c_01 - C.01 In the last two weeks, has your household experienced a loss of income due
  • w5c_02a - C.02a. Whose income is less than before?
  • w5c_02b - C.02b. In the last two weeks, did you use savings to deal with the loss of incom
  • w5c_02c - C.02c. (If 2 to C.02b) Whose savings were used? Was it���
  • w5c02d - C.02d. (If 2 to C.02b) Who decided to use savings?
  • w5c_02c1 - C.02c1. (If 2 to C.02b) How long do you think it will take to rebuild the saving
  • w5c_02d - C.02d. In the last two weeks, did you sell assets to deal with the loss of incom
  • w5c_02e - C.02e (If 2 to C.02d) Who owned the assets that were sold? Was it���
  • w5c02e1a - C.02e1a. (If 2 to C.02d) Who decided to sell assets?
  • w5c_02e1 - C.02e1. (If 2 to C.02d) How long do you think it will take to rebuild your asset
  • w5c_02f - C.02f. In the last two weeks, did you borrow to deal with the loss of income?
  • w5c_02f1 - C.02f1. How did you use borrowed funds?
  • w5c_02f1__c_7 - @other, specify : How did you use borrowed funds?
  • w5c_02g - C.02g. Who did you borrow from? Was it a���
  • w5c_02g_c_10 - @Other, specify : Who did you borrow from? Was it a...
  • w5c02g2 - C.02g2. Who decided to borrow?
  • w5c02g3 - C.02g3. What is your repayment plan for any loans that you borrowed in the last
  • w5c02g4 - C.02g4. How long do you think it will take to repay all the debts incurred due t
  • w5c_02g1 - C.02g1. (If 2 to c.02f.) What is your repayment plan for this loan?
  • w5c_02g2 - C.02g2. (If 2 to c.02f.) How long do you think it will take to repay the debts i
  • w5c_02h - C.02h. Did you receive a transfer, as cash or in-kind, from the government to de
  • w5c_02i - C.02i. Did you receive a transfer, as cash or in-kind from a non-government orga
  • w5c_02q - C.02q. Did you participate in any relief program in the last 12 months?
  • w5c_02q1 - C.02q1. (If 2 to c.02q.) What is the name of program(s)?
  • w5c_02j_1 - C02j: 1= Consumed less food (fewer meals or lesser quantity for all or some memb
  • w5c_02j_2 - C02j: 2= Found an alternative job/worked extra hours to support family income
  • w5c_02j_3 - C02j: 3= Reduced expenditure
  • w5c_02j_4 - C02j: 4= No action taken
  • w5c_02j_95 - C02j: 95= Others, specify
  • w5c_02j_95_c_95 - C02j: Other specify
  • w5c_02j_98 - C02j: Don't know
  • w5c_02k_1 - C02k: 1= Food items
  • w5c_02k_2 - C02k: 2= Medical expenses
  • w5c_02k_3 - C02k: 3= Children's education
  • w5c_02k_4 - C02k: 4= Transportation
  • w5c_02k_5 - C02k: 5= Agriculture inputs
  • w5c_02k_6 - C02k: 6= Utilities (electricity/water/newspaper/television)
  • w5c_02k_7 - C02k: 7= Livestock needs
  • w5c_02k_8 - C02k: 8= Clothing
  • w5c_02k_9 - C02k: 9= Mobile phone recharge
  • w5c_02k_10 - C02k: 10= Festival/wedding/social functions
  • w5c_02k_95 - C02k: 95= Others, specify
  • w5c_02k_95_c_95 - C02k: Other specify
  • w5c_02k_98 - 98= Don't know
  • w5c_03 - C.03 Has anyone in your household been sick in the last two weeks days?
  • w5c_04 - C.04 Over the past 24 hours, how many hours did you spend caring for other membe
  • w5c_05 - C.05. How does this compare to a typical day before the COVID-19 epidemic? Is it
  • w5c_06 - C.06. Over the past 24 hours, how many hours did your (spouse/partner) spend car
  • w5c_07 - C.07. How does this compare to a typical day before the COVID-19 epidemic? Is it
  • w5c08 - C.08 Have you done any (INSERT TYPE OF WORK BASED ON B.09) work in the last 7 da
  • w5c09 - C.09 How does the amount of time you spent working in the last 7 days compare to
  • w5c10 - C.10 Has your spouse or partner done any (INSERT TYPE OF WORK BASED ON B.10) wor
  • w5c11 - C.11 How does the amount of time your spouse or partner spent working in the las
  • w5c_12 - C.12. In the past 7 days, who usually decided how the money you personally earne
  • w5c_13 - C.13 (Skip if 5 to C.12) In the past 7 days, would you say that the money you pe
  • w5c_14 - C.14 (Skip if 4 to C.13) In the past 7 days, who usually decided how your spouse
  • w5c_15a1 - How many boys in the age group of 5-18 years are there in your household?
  • w5c15a - And, how many of these <font color=#00FA9A>{#C_15a1#}</font> boys were attending
  • w5c_15a2 - Why weren't some of the boys attending school before the lockdown?
  • w5c_15a2_c_888 - @Other [Specify] : Why weren't some of the boys attending school before the lock
  • w5c_15a2_oth - Specify why won't you send your boy(s) back to school
  • w5c_15a3 - Are schools open right now in your area?
  • w5c_15a4 - How many of these <font color=#00FA9A>{#C_15a1#}</font> boys are currently enrol
  • w5c_15a_4 - C.15a5. How many of these <font color=#00FA9A>{#C_15a1#}</font> boys are current
  • w5c_15a5 - C.15a6. And, how many boys who are enrolled in school are attending classes onli
  • w5c_15a6 - C.15a7 . Will you send your boy(s) back to school when they reopen?
  • w5c_15a7_1 - Not safe due to the Coronavirus : C.15a7 . Why won't you send your send your boy
  • w5c_15a7_2 - Too expensive : C.15a7 . Why won't you send your send your boy(s) back to school
  • w5c_15a7_3 - He will help in the family business or farm : C.15a7 . Why won't you send your s
  • w5c_15a7_4 - Need help at home : C.15a7 . Why won't you send your send your boy(s) back to sc
  • w5c_15a7_5 - He does not want to continue his studies : C.15a7 . Why won't you send your send
  • w5c_15a7_6 - He will start looking for a job : C.15a7 . Why won't you send your send your boy
  • w5c_15a7_7 - He is working now : C.15a7 . Why won't you send your send your boy(s) back to sc
  • w5c_15a7_8 - No money to pay fees due to COVID-19 : C.15a7 . Why won't you send your send you
  • w5c_15a7_888 - Other [Specify] : C.15a7 . Why won't you send your send your boy(s) back to scho
  • w5c_15a7_888_c_888 - @Other [Specify] : C.15a7 . Why won't you send your send your boy(s) back to sch
  • w5c_15a7_98 - Don't know : C.15a7 . Why won't you send your send your boy(s) back to school?
  • w5c_15b1 - How many girls in the age group of 5-18 years are there in your household?
  • w5c15b - And, how many of these <font color=#00FA9A>{#C_15b1#}</font> girls were attendin
  • w5c_15b2 - Why weren't some of the girls attending school before the lockdown?
  • w5c_15b2_c_888 - @Other [Specify] : Why weren't some of the girls attending school before the loc
  • w5c_15b2_oth - Specify why won't you send your girl(s) back to school
  • w5c_15b4 - How many of these <font color=#00FA9A>{#C_15b1#}</font> girls are currently enro
  • w5c_15b5 - How many of these <font color=#00FA9A>{#C_15b1#}</font> girls are currently goin
  • w5c_15b6 - And, how many girls who are enrolled in school are attending classes online or o
  • w5c_15b7 - Will you send your girl(s) back to school when they reopen?
  • w5c_15b8_1 - Not safe due to the Coronavirus : Why won't you send your send your girl(s) back
  • w5c_15b8_2 - Too expensive : Why won't you send your send your girl(s) back to school?
  • w5c_15b8_3 - She will help in the family business or farm : Why won't you send your send your
  • w5c_15b8_4 - Need help at home : Why won't you send your send your girl(s) back to school?
  • w5c_15b8_5 - She does not want to continue his studies : Why won't you send your send your gi
  • w5c_15b8_6 - She will start looking for a job : Why won't you send your send your girl(s) bac
  • w5c_15b8_7 - She is working now : Why won't you send your send your girl(s) back to school?
  • w5c_15b8_8 - No money to pay fees due to COVID-19 : Why won't you send your send your girl(s)
  • w5c_15b8_888 - Other [Specify] : Why won't you send your send your girl(s) back to school?
  • w5c_15b8_888_c_888 - @Other [Specify] : Why won't you send your send your girl(s) back to school?
  • w5c_15b8_98 - Don't know : Why won't you send your send your girl(s) back to school?
  • w5ee_01 - E.01 You or any member of your household were worried you would not have enough
  • w5ee_02 - E.02 You or any member of your household were unable to eat healthy and nutriti
  • w5ee_03 - E.03 You or any member of your household had to skip a meal?
  • w5ee_04 - E.04 You or any member of your household ate less than you thought you should h
  • w5ee_05 - E.05 You or any member of your household were hungry but did not eat?
  • w5ee_06 - E.06 Your household access to food changed since the COVID-19 pandemic affected
  • w5ee_07 - E.07 If yes (2), how?
  • w5dietarydiversity_1 - 1.������������ Grains, roots and tubers (dietary diversity)
  • w5dietarydiversity_2 - 2.������������ Pulses/Beans/peas (dietary diversity)
  • w5dietarydiversity_3 - 3.������������ Nuts and seeds (dietary diversity)
  • w5dietarydiversity_4 - 4.������������ Dairy (dietary diversity)
  • w5dietarydiversity_5 - 5.������������ Meat, poultry and fish (dietary diversity)
  • w5dietarydiversity_6 - 6.������������ Eggs (dietary diversity)
  • w5dietarydiversity_7 - 7.������������ Dark leafy greens and vegetables (dietary diversity)
  • w5dietarydiversity_8 - 8.������������ Other Vitamin A-rich fruits and vegetables (dietary diversity)
  • w5dietarydiversity_9 - 9.������������ Other vegetables (dietary diversity)
  • w5dietarydiversity_10 - 10.���� Other fruits (dietary diversity)
  • w5fafa1 - Fa1: In the first round of the phone survey you reported that your main source o
  • w5fafa2 - Fa2. If no, what is your current main source of drinking water?
  • w5fafa_3 - Fa3. What is the distance to this main source of drinking water?
  • w5fafa4 - Fa4. Does it typically take you more than 30 minutes to collect water, round tri
  • w5fafa_4 - Fa4. Where is your drinking water collected from?
  • w5ff_01 - F.01 Worry. In the last 2 weeks, how frequently did you or anyone in your househ
  • w5ff_02 - F.02 Plans. In the last 2 weeks, how frequently have you or anyone in your house
  • w5ff_03 - F.03 Drink. In the last 2 weeks, how frequently has there not been as much water
  • w5ff_04 - F.04 Hands. In the last 2 weeks, how frequently have you or anyone in your house
  • w5ff_05 - F.05 Have you heard of recommendations to wash your hands frequently, especially
  • w5ff_08 - F.08 Are you using more, less or the same amount of water for domestic purposes
  • w5ff_09 - F.09 How much of this change is a result of Covid-19?
  • w5ff_10 - F.10 Do you pay for domestic water?
  • w5ff_11 - Do you pay more, less or the same amount for water as you did before Covid-19?
  • w5g_xy - X-Y
  • w5g01 - In previous survey, you reported that X number of men have migrated from your ho
  • w5g02 - How many of these men <font color = #00ffbf>{#G.G01#}</font> have/had returned h
  • w5g03 - How many men who have returned home due to the COVID-19 epidemic (Y reported las
  • w5g04 - In previous survey conducted in July, you reported that X number of women have m
  • w5g05 - How many of these women <font color = #00ffbf>{#G.G04#}</font> have/had returned
  • w5g06 - How many women who have returned home due to the COVID-19 epidemic (Y reported l
  • w5g07 - Are those members who have not returned sending money back to your household?
  • w5g08 - Are those members who had returned but now migrated back for work (in the last 2
  • w5g10 - Those who have stayed back at home (returned due to COVID-19 and not gone back f
  • w5g10_c_95 - @Others, specify : Those who have stayed back at home (returned due to COVID-19
  • w5g11 - Has any other household member migrated for work for the first time after the la
  • w5g12 - How many of these newly migrated members (May - June) are men?
  • w5g13 - How many of these newly migrated members (May - June) are women?
  • w5g14 - Are these newly migrated members sending money back to your household (in the la
  • w5end1 - <font color=#00ff80><h2>Thank you very much for participating. Would y

Variables

list_name

f6056808 Location:

Variable Format: character

Notes: UNF:6:jk47E5mqYcZSXVEfwaTvgA==

value

f6056808 Location:

Summary Statistics: Max. 126.0; StDev 34.73144499017193; Valid 743.0; Min. 0.0; Mean 22.26514131897707

Variable Format: numeric

Notes: UNF:6:NXQATAnB9iItBsCQNrmIqw==

label

f6056808 Location:

Variable Format: character

Notes: UNF:6:Lu52kNdzclU9LE6HLHC4ng==

name

f6056806 Location:

Variable Format: character

Notes: UNF:6:mdrQkXmU26PYkXpDSFTGyg==

label

f6056806 Location:

Variable Format: character

Notes: UNF:6:fgU1CpEi+5m1o13kFKTU1g==

type

f6056806 Location:

Variable Format: character

Notes: UNF:6:8ce68iv4xSh4doyIqu37Eg==

choices

f6056806 Location:

Variable Format: character

Notes: UNF:6:hOtHQgBXE273bexbfT4cDQ==

recode

f6056806 Location:

Summary Statistics: StDev NaN; Max. NaN; Min. NaN; Valid 0.0; Mean NaN;

Variable Format: numeric

Notes: UNF:6:/qle5mVDFaEeMc6XL/Nx/A==

InstanceID

f6058195 Location:

Summary Statistics: StDev 4534.761399881161; Max. 1864382.0; Mean 1852517.4205231387; Min. 1846170.0; Valid 497.0

Variable Format: numeric

Notes: UNF:6:uJaXClmRbMANsbVBtl1uWw==

Enter ID to pull details from previous wave

f6058195 Location:

Summary Statistics: Valid 497.0; Mean 328.2354124748475; Min. 1.0; StDev 193.7356418027375; Max. 707.0

Variable Format: numeric

Notes: UNF:6:OO2CGJxhBhHBmy1F2iDZ9A==

Wave5

f6058195 Location:

Value

Label

Frequency

Text

1.

Wave5 Cases

497

Summary Statistics: Mean 1.0; Max. 1.0; StDev 0.0; Valid 497.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:98PPylfsWtrLLGzXl2NQ/Q==

Country

f6058195 Location:

Value

Label

Frequency

Text

91.

Colombia

0

20.

Ghana

0

30.

Mozambique

0

119.

Australia

0

53.

Hungary

0

8.

Morocco

0

36.

Hong Kong

0

39.

Iraq

0

76.

Cyprus

0

95.

Ecuador

0

5.

KSA

0

24.

Indonesia

0

78.

Denmark

0

77.

Czech Republic

0

69.

Puerto Rico

0

55.

United States

0

67.

Panama

0

96.

Cameroon

0

14.

China

0

44.

Russia

0

80.

Finland

0

75.

Austria

0

23.

Pakistan

0

109.

Myanmar

0

10.

Nigeria

497

51.

Ethiopia

0

72.

El Salvador

0

112.

Georgia

0

38.

Taiwan

0

48.

Belgium

0

33.

Bahrain

0

70.

Dominican Republic

0

88.

Netherlands

0

81.

Greece

0

104.

Swaziland

0

25.

Malaysia

0

2.

Mexico

0

107.

Sudan

0

116.

Zimbabwe

0

89.

Portugal

0

94.

Norway

0

118.

Iceland

0

71.

Guatemala

0

92.

Canada

0

84.

Latvia

0

121.

Uruguay

0

31.

Tanzania

0

6.

UAE

0

34.

Qatar

0

12.

Uganda

0

106.

Namibia

0

43.

Kazakhstan

0

47.

Serbia

0

102.

Rwanda

0

111.

Bangladesh

0

126.

Uzbekistan

0

68.

Costa Rica

0

9.

Tunisia

0

28.

Bolivia

0

124.

Yemen

0

41.

Bulgaria

0

61.

Albania

0

73.

Honduras

0

22.

Jordan

0

45.

Ukraine

0

37.

South Korea

0

1.

India

0

82.

Ireland

0

101.

Liberia

0

57.

Eritrea

0

79.

Estonia

0

63.

Kosovo

0

7.

Algeria

0

64.

Macedonia

0

18.

Vietnam

0

50.

Spain

0

42.

Romania

0

59.

Iran

0

83.

Italy

0

120.

Afghanistan

0

103.

South Sudan

0

58.

Angola

0

125.

Kyrgyzstan

0

3.

Poland

0

110.

Sri Lanka

0

108.

Turkey

0

15.

Peru

0

60.

Oman

0

87.

Malta

0

4.

Egypt

0

66.

Slovenia

0

49.

France

0

56.

Senegal

0

123.

Mali

0

85.

Lithuania

0

54.

Germany

0

114.

Lesotho

0

105.

Botswana

0

98.

Congo Brazzaville

0

86.

Luxembourg

0

40.

South Africa

0

21.

Lebanon

0

117.

Liechtenstein

0

62.

Bosnia and Herzegovina

0

65.

Montenegro

0

29.

Chile

0

90.

Slovakia

0

19.

Cote d���Ivoire

0

97.

Benin

0

32.

Zambia

0

100.

Guinea Conakry

0

27.

Argentina

0

115.

Malawi

0

11.

Kenya

0

35.

Kuwait

0

13.

Brazil

0

74.

Nicaragua

0

93.

Sweden

0

99.

Guinea Bissau

0

122.

Venezuela

0

52.

United Kingdom

0

17.

Thailand

0

46.

Croatia

0

26.

Singapore

0

113.

Switzerland

0

16.

Philippines

0

Summary Statistics: Max. 10.0; StDev 0.0; Mean 10.0; Min. 10.0; Valid 497.0;

Variable Format: numeric

Notes: UNF:6:NG3XUnPix7igAAiIpIIo1A==

Language selection

f6058195 Location:

Value

Label

Frequency

Text

38.

Dioula

0

103.

Somali

0

24.

Runyankole/Rukiga

0

29.

Cebuano

0

69.

Serbian

0

39.

Senoufo

0

34.

Thai

0

60.

Hong Kong Cantonese

0

3.

Bengali

0

65.

Romanian

0

10.

Tamil

0

19.

Swahili

0

61.

Korean

0

106.

Xhosa

0

79.

Macedonian

0

82.

Tigrinya

0

73.

German

0

23.

Luo

0

71.

Hungarian

0

14.

Arabic

0

107.

Sotho

0

59.

Tonga (Zambezi)

0

53.

Bemba

0

70.

Albanian

0

108.

Sepedi

0

95.

Maltese

0

1.

English

401

36.

Baoul��

0

64.

Bulgarian

0

96.

Slovak

0

77.

Wolof

0

55.

Lozi

0

51.

Sena

0

15.

French

0

11.

Telugu

0

111.

Arabic Juba

0

48.

Malay

0

90.

Swedish

0

42.

Ga

0

8.

Marathi

0

109.

Lingala

0

35.

Vietnamese

0

4.

Gujarati

0

99.

Oromo

0

20.

Acholi

0

116.

Georgian

0

17.

Hausa

96

115.

Sinhalese

0

44.

Farsi

0

27.

Chinese

0

94.

Luxembourgish

0

72.

Dutch

0

100.

Karamojong

0

97.

Norwegian

0

54.

Kaonde

0

117.

Dari (Afghanistan)

0

13.

Polish

0

67.

Ukrainian

0

52.

Tsonga

0

83.

Greek

0

28.

Tagalog

0

92.

Latvian

0

105.

Zulu

0

113.

Setswana

0

98.

German - Austria

0

110.

Kinyarwanda

0

102.

Lugbara

0

41.

Dagbani

0

74.

Catalan

0

49.

Macua

0

68.

Croatian

0

47.

Indonesian

0

63.

Kurdish

0

87.

Danish

0

22.

Luganda

0

50.

Ndau

0

58.

Nyanja

0

9.

Oriya

0

62.

Taiwanese Mandarin

0

75.

Spanish - Spain

0

30.

Ilonggo

0

7.

Malayalam

0

37.

B��t��

0

112.

Siswati

0

16.

Igbo

0

45.

Russian

0

31.

Ilokano

0

43.

Ewe

0

91.

Italian

0

57.

Luvale

0

6.

Kannada

0

56.

Lunda

0

18.

Yoruba

0

80.

Montenegrin

0

5.

Hindi

0

12.

Spanish

0

86.

Slovak

0

33.

Waray

0

76.

Amharic

0

26.

Portuguese

0

114.

Burmese

0

119.

Kyrgyz

0

85.

Czech

0

40.

Akan

0

21.

Ateso

0

78.

Bosnian

0

32.

Bicolano

0

89.

Finnish

0

120.

Uzbek

0

66.

Kazakh

0

84.

Turkish

0

2.

Assamese

0

93.

Lithuanian

0

118.

Pashto (Afghanistan)

0

88.

Estonian

0

25.

Runyoro/Rutoro

0

46.

Urdu

0

104.

Afrikaans

0

81.

Slovenian

0

101.

Runyakitara

0

Summary Statistics: Max. 17.0; Min. 1.0; Mean 4.090543259557349; Valid 497.0; StDev 6.322789929021211

Variable Format: numeric

Notes: UNF:6:LfZN5j5MmpqtZA6xI8UztQ==

Gender

f6058195 Location:

Value

Label

Frequency

Text

1.

Male

244

2.

Female

253

Summary Statistics: Mean 1.5090543259557343; Max. 2.0; Min. 1.0; StDev 0.5004217083177386; Valid 497.0;

Variable Format: numeric

Notes: UNF:6:BWyJHlSPuR49A8NBfGPQbw==

What was your age last birthday?

f6058195 Location:

Value

Label

Frequency

Text

2.

Refused

0

1.

Exact Age

497

Summary Statistics: Max. 1.0; Valid 497.0; StDev 0.0; Min. 1.0; Mean 1.0

Variable Format: numeric

Notes: UNF:6:98PPylfsWtrLLGzXl2NQ/Q==

@Exact Age : What was your age last birthday?

f6058195 Location:

Summary Statistics: Max. 73.0; Min. 18.0; StDev 9.815829785432417; Valid 497.0; Mean 37.71227364185111

Variable Format: numeric

Notes: UNF:6:mIXQcIHuFyuQA1QaI1bakA==

Age groups

f6058195 Location:

Value

Label

Frequency

Text

8.

Refuse

0

3.

25-34 years old

173

5.

45-54 years old

75

1.

10-15 years old

0

7.

65+ years old

7

2.

16-24 years old

25

4.

35-44 years old

191

6.

55-64 years old

26

Summary Statistics: StDev 1.0077142897812326; Min. 2.0; Max. 7.0; Mean 3.8490945674044257; Valid 497.0;

Variable Format: numeric

Notes: UNF:6:LcJHGNtQmIz+StcikX0rhw==

Instance ID from Wave 1

f6058195 Location:

Summary Statistics: Valid 497.0; Mean 1497979.3641851107; Max. 1696997.0; StDev 32488.588972709582; Min. 1477669.0;

Variable Format: numeric

Notes: UNF:6:4vaRh5Pa2uGo0ttcZz9ykQ==

B_09 Response from wave 1

f6058195 Location:

Variable Format: character

Notes: UNF:6:VK+ancV4UptI3exmYHM+fw==

B_10 Response from wave 1

f6058195 Location:

Variable Format: character

Notes: UNF:6:4a7c2WRe+QmNbDuHSsXQCg==

B_17 Response from wave 1

f6058195 Location:

Variable Format: character

Notes: UNF:6://sCzFvsfnLhc5WzN6FjAw==

G_01 Response from wave 1

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

G_02 Response from wave 1

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

G_03 Response from wave 1

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

G_04 Response from wave 1

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

A.02 Enumeratior code

f6058195 Location:

Summary Statistics: Mean 59.764587525150866; Max. 494.0; Valid 497.0; StDev 140.83069692024247; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:PeCrySD+APzWfpGhMcy1dw==

Is the respondent able to talk?

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

497

2.

No answer

0

3.

Wrong number

0

5.

Respondent declined to participate

0

7.

Other (Specify)

0

6.

Someone else declined to participate for respondent

0

4.

Respondent not available

0

Summary Statistics: Max. 1.0; Mean 1.0; Min. 1.0; StDev 0.0; Valid 497.0;

Variable Format: numeric

Notes: UNF:6:98PPylfsWtrLLGzXl2NQ/Q==

@Other (Specify) : Is the respondent able to talk?

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

Time of day

f6058195 Location:

Variable Format: character

Notes: UNF:6:z05HJQVUveeeEcsv5nDVWw==

Did the respondent consent to be surveyed?

f6058195 Location:

Value

Label

Frequency

Text

2.

No

0

1.

Yes

497

Summary Statistics: Mean 1.0; Min. 1.0; Max. 1.0; Valid 497.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:98PPylfsWtrLLGzXl2NQ/Q==

B.00: Is the phone on speaker?

f6058195 Location:

Value

Label

Frequency

Text

1.

Speaker phone

175

2.

Not on speaker phone

322

Summary Statistics: Min. 1.0; StDev 0.47811011033138623; Max. 2.0; Valid 497.0; Mean 1.647887323943662

Variable Format: numeric

Notes: UNF:6:tpevDA0Ih84rgwbResynFA==

B.01 Gender of respondent

f6058195 Location:

Value

Label

Frequency

Text

2.

Female

253

1.

Male

244

3.

Other

0

Summary Statistics: StDev 0.5004217083177386; Valid 497.0; Mean 1.5090543259557343; Min. 1.0; Max. 2.0

Variable Format: numeric

Notes: UNF:6:BWyJHlSPuR49A8NBfGPQbw==

B.03 Have you added any new members to your household since the last time we spo

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

96

2.

No

401

Summary Statistics: Valid 497.0; Mean 1.806841046277666; Min. 1.0; Max. 2.0; StDev 0.3951743705638264;

Variable Format: numeric

Notes: UNF:6:9a4fjqH1cz/w8oOWNdw22g==

B.03a How many people now live in your household?

f6058195 Location:

Summary Statistics: Valid 96.0; Max. 18.0; Min. 1.0; StDev 3.826443082899138; Mean 6.604166666666666;

Variable Format: numeric

Notes: UNF:6:J0DLoxBMTsREZLxzN+AzMQ==

B.03b How many adults aged 18-59 now live in your household?

f6058195 Location:

Summary Statistics: Valid 96.0; Mean 2.822916666666667; StDev 1.8467313466410507; Min. 0.0; Max. 12.0;

Variable Format: numeric

Notes: UNF:6:jP5OOpi3paAUEztPXiOckA==

B.03c How many children 5 years or younger now live in your household?

f6058195 Location:

Summary Statistics: StDev 1.279905424137597; Max. 5.0; Mean 1.4375; Min. 0.0; Valid 96.0;

Variable Format: numeric

Notes: UNF:6:9PMMwKiATwEqMxwTygC7lw==

B.03d How many people aged 60 years or older now live in your household?

f6058195 Location:

Summary Statistics: StDev 0.6237267732904347; Valid 96.0; Mean 0.2708333333333334; Max. 3.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:9dztA+hai805Yj0f2z8B4Q==

B.03e How many children aged 6 -17 now live in your household?

f6058195 Location:

Summary Statistics: Mean 2.072916666666667; Max. 8.0; StDev 2.1435081509018006; Valid 96.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:E3k08nD+p7YnInEZI5MYww==

B.04 What is your current (main) occupation? That is, what kind of work do you m

f6058195 Location:

Value

Label

Frequency

Text

4.

Working for yourself/off-farm business

167

2.

Casual labor

27

8.

Don���t know

0

5.

Salaried job

112

3.

Processing, marketing and trading agricultural products

24

6.

Other

24

1.

Farming or raising livestock

106

7.

You do not work

37

Summary Statistics: Max. 7.0; Mean 3.7484909456740456; StDev 1.793560034455523; Min. 1.0; Valid 497.0

Variable Format: numeric

Notes: UNF:6:koT7DDRcDD5WwWedSTez6Q==

B.04a What is your secondary occupation? That is, are you currently doing any ot

f6058195 Location:

Value

Label

Frequency

Text

3.

Processing, marketing and trading agricultural products

28

2.

Casual labor

14

1.

Farming or raising livestock

85

8.

Don���t know

2

5.

Salaried job

33

6.

Other

25

7.

No other type of work

195

4.

Working for yourself/off-farm business

78

Summary Statistics: Min. 1.0; Max. 8.0; Valid 460.0; StDev 2.324155823873265; Mean 4.793478260869565

Variable Format: numeric

Notes: UNF:6:lCi6joR6gv2tIrFasUKwEQ==

Staple crops such as rice, maize, sorghum, cassava, wheat, millet, pulses : What

f6058195 Location:

Value

Label

Frequency

Text

0.

No

17

1.

Yes

146

Summary Statistics: Valid 163.0; Min. 0.0; Max. 1.0; StDev 0.30658406561710433; Mean 0.8957055214723926

Variable Format: numeric

Notes: UNF:6:79ZyfrDqDl2aRuPiDCBqTQ==

Horticulture such as fruits and vegetables : What kind of farming or livestock?

f6058195 Location:

Value

Label

Frequency

Text

0.

No

140

1.

Yes

23

Summary Statistics: Max. 1.0; Mean 0.14110429447852757; Valid 163.0; StDev 0.349201922793501; Min. 0.0

Variable Format: numeric

Notes: UNF:6:TtzDX8JYCXZHoVNlBxu3ew==

Other cash crops for example spices or castor : What kind of farming or livestoc

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

20

0.

No

143

Summary Statistics: Min. 0.0; Mean 0.12269938650306748; Max. 1.0; Valid 163.0; StDev 0.3291028983702069

Variable Format: numeric

Notes: UNF:6:n8EA+j5pFWsKCJ0/psPCmw==

Dairy : What kind of farming or livestock? Is it...

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

0

0.

No

163

Summary Statistics: StDev 0.0; Mean 0.0; Valid 163.0; Max. 0.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:AcSK3+cdXdoVVaHo8YOOkA==

Sheep, goat, and pig rearing : What kind of farming or livestock? Is it...

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

37

0.

No

126

Summary Statistics: Mean 0.2269938650306748; Max. 1.0; Valid 163.0; StDev 0.4201794663149874; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:jx9sBwdFeVXcnkyZuP670A==

Poultry : What kind of farming or livestock? Is it...

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

40

0.

No

123

Summary Statistics: Mean 0.24539877300613497; StDev 0.43164949972838995; Min. 0.0; Valid 163.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:l4abzlwmKqrcycgBDSchQQ==

Other : What kind of farming or livestock? Is it...

f6058195 Location:

Value

Label

Frequency

Text

0.

No

162

1.

Yes

1

Summary Statistics: Max. 1.0; StDev 0.07832604499879572; Mean 0.006134969325153386; Min. 0.0; Valid 163.0;

Variable Format: numeric

Notes: UNF:6:dg4WxDjGEWB+9ynbiPNfag==

Has the work that you do changed because of the Covid-19 pandemic?

f6058195 Location:

Value

Label

Frequency

Text

3.

Don't know

3

1.

Yes

113

2.

No

344

Summary Statistics: Mean 1.7608695652173914; Max. 3.0; Valid 460.0; StDev 0.44205810049507865; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:/KFEIGddozgTmXtsir9OQw==

How has the work that you do changed?

f6058195 Location:

Value

Label

Frequency

Text

4.

Staying home to avoid illness

9

3.

Working more from home

21

5.

Staying home to care for children and/or other family members

12

1.

Switched occupations or jobs

20

6.

don���t know

6

2.

Harder to find work

45

Summary Statistics: Min. 1.0; StDev 1.4197896961485208; Valid 113.0; Max. 6.0; Mean 2.6991150442477876

Variable Format: numeric

Notes: UNF:6:CFC3DHxbLTfK+vv5JwF7eg==

Why do you not work?

f6058195 Location:

Value

Label

Frequency

Text

5.

Other

9

1.

Unable to find a job

22

3.

Caring for children or other family members

4

6.

Don���t know

1

2.

Disability or illness

1

4.

Don���t want to work

0

Summary Statistics: Mean 2.3513513513513513; Max. 6.0; Valid 37.0; StDev 1.8137777674758804; Min. 1.0

Variable Format: numeric

Notes: UNF:6:PrYJaf8jirXS7jyzIaNxpQ==

What is your spouse's or partner's main occupation? That is, what kind of work d

f6058195 Location:

Value

Label

Frequency

Text

5.

Salaried job

98

6.

Other

51

4.

Working for yourself/off-farm business

130

7.

Spouse does not work

74

3.

Processing, marketing and trading agricultural products

19

2.

Casual labor

15

1.

Farming or raising livestock

76

8.

Don���t know

34

Summary Statistics: Mean 4.565392354124749; StDev 2.0655218568953435; Valid 497.0; Min. 1.0; Max. 8.0

Variable Format: numeric

Notes: UNF:6:FTj3ziU0dgNMwedDXmnOkg==

What is your spouse's secondary occupation? That is, is your spouse currently do

f6058195 Location:

Value

Label

Frequency

Text

2.

Casual labor

6

7.

No other type of work

199

5.

Salaried job

26

1.

Farming or raising livestock

59

8.

Don���t know

33

6.

Other

46

3.

Processing, marketing and trading agricultural products

10

4.

Working for yourself/off-farm business

44

Summary Statistics: Min. 1.0; Mean 5.531914893617022; Valid 423.0; StDev 2.231463480069061; Max. 8.0;

Variable Format: numeric

Notes: UNF:6:FCMdIHIIsc+qDjQnqFlVaw==

What kind of farming or livestock? Is it...

f6058195 Location:

Value

Label

Frequency

Text

1.

Staple crops such as rice, maize, sorghum, cassava, wheat, millet, pulses

83

6.

Poultry

8

3.

Other cash crops for example spices or castor

3

4.

Dairy

0

7.

Other

1

2.

Horticulture such as fruits and vegetables

2

5.

Sheep, goat, and pig rearing

5

Summary Statistics: Mean 1.7254901960784312; Min. 1.0; StDev 1.6540191837759821; Max. 7.0; Valid 102.0

Variable Format: numeric

Notes: UNF:6:w7UEcQb+zp8MEIo7EeVUUQ==

Has the work that your spouse does changed because of the Covid-19 pandemic?

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

45

2.

No

325

3.

Don't know

53

Summary Statistics: Valid 423.0; Min. 1.0; Max. 3.0; Mean 2.0189125295508275; StDev 0.48152773210456645

Variable Format: numeric

Notes: UNF:6:W1OnNIFVTRO/a5hyMMgTLg==

How has the work that your spouse does changed?

f6058195 Location:

Value

Label

Frequency

Text

1.

Switched occupations or jobs

3

6.

don���t know

2

5.

Staying home to care for children and/or other family members

10

2.

Harder to find work

21

3.

Working more from home

4

4.

Staying home to avoid illness

5

Summary Statistics: Min. 1.0; Mean 3.088888888888889; StDev 1.4743599878379; Max. 6.0; Valid 45.0

Variable Format: numeric

Notes: UNF:6:vEJXvphMULAgoRf6bAw0sw==

Why does your spouse not work?

f6058195 Location:

Value

Label

Frequency

Text

2.

Disability or illness

2

6.

Don���t know

3

4.

Don���t want to work

5

5.

Other

12

1.

Unable to find a job

26

3.

Caring for children or other family members

26

Summary Statistics: StDev 1.5813144373812626; Valid 74.0; Mean 2.7837837837837838; Min. 1.0; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:ZjhLzg0fgkv5ewLS/81fOg==

C01a: 1=Unemployment/loss of income

f6058195 Location:

Value

Label

Frequency

Text

0.

No

218

1.

Yes

279

Summary Statistics: Valid 497.0; Min. 0.0; Mean 0.561368209255533; StDev 0.4967196214100671; Max. 1.0

Variable Format: numeric

Notes: UNF:6:wJGSsi2PbOCZKoEcMsuzrw==

C01a: 2=Food access

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

326

0.

No

171

Summary Statistics: StDev 0.47554084222097837; Valid 497.0; Min. 0.0; Mean 0.6559356136820925; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:tiiApvTNbPY4pR+lkbHcbA==

C01a: 3=Shops being closed

f6058195 Location:

Value

Label

Frequency

Text

0.

No

423

1.

Yes

74

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.356341998161042; Mean 0.14889336016096566; Valid 497.0

Variable Format: numeric

Notes: UNF:6:MrDUTuyZkhMhhFqBLr4IpQ==

C01a: 4=Travel restrictions

f6058195 Location:

Value

Label

Frequency

Text

0.

No

335

1.

Yes

162

Summary Statistics: StDev 0.4692031057955839; Valid 497.0; Max. 1.0; Mean 0.32595573440643866; Min. 0.0

Variable Format: numeric

Notes: UNF:6:VoKa+h+KJejCurvGiAJm7g==

C01a: 5=Temple/Church/mosque being closed

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

96

0.

No

401

Summary Statistics: Mean 0.193158953722334; Valid 497.0; StDev 0.39517437056382687; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:xwSSvtmMicMezewK33nTqg==

C01a: 6=School closures

f6058195 Location:

Value

Label

Frequency

Text

0.

No

396

1.

Yes

101

Summary Statistics: StDev 0.40279980092614603; Max. 1.0; Mean 0.20321931589537204; Min. 0.0; Valid 497.0

Variable Format: numeric

Notes: UNF:6:T+fWObqTYjL/eApHeLDtcA==

C01a: 7=Additional people living with the household

f6058195 Location:

Value

Label

Frequency

Text

0.

No

461

1.

Yes

36

Summary Statistics: Min. 0.0; Valid 497.0; Mean 0.07243460764587523; StDev 0.2594673285913814; Max. 1.0

Variable Format: numeric

Notes: UNF:6:9rENWGMlQhye181AcXZtcw==

C01a: 8=Social distancing/quarantine

f6058195 Location:

Value

Label

Frequency

Text

0.

No

388

1.

Yes

109

Summary Statistics: Valid 497.0; Mean 0.21931589537223353; Min. 0.0; Max. 1.0; StDev 0.4141999853108462

Variable Format: numeric

Notes: UNF:6:iC2BrVvriF13oflrvuJVUg==

C01a: 9=Being sick, fear of getting sick, or fear of dying

f6058195 Location:

Value

Label

Frequency

Text

0.

No

392

1.

Yes

105

Summary Statistics: Mean 0.21126760563380279; StDev 0.4086190882609765; Max. 1.0; Min. 0.0; Valid 497.0

Variable Format: numeric

Notes: UNF:6:DSJDYIit0q4z1BLhCSFYxA==

C01a: 10=Other, specify (record verbatim)

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

78

0.

No

419

Summary Statistics: Valid 497.0; Max. 1.0; StDev 0.3641122415011346; Mean 0.15694164989939643; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:MnYc/fpvc+EZJN1Ly2a3ZQ==

C01a: Specify other

f6058195 Location:

Variable Format: character

Notes: UNF:6:iC5Yxvs0HSQjZQXuHJlpWg==

C.01 In the last two weeks, has your household experienced a loss of income due

f6058195 Location:

Value

Label

Frequency

Text

1.

No

307

2.

Yes

187

4.

Refused

1

3.

Don���t know

2

Summary Statistics: Mean 1.3903420523138832; Valid 497.0; StDev 0.5085432266872584; Max. 4.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:3ZTRwecJDi4K7LnqK+zTfw==

C.02a. Whose income is less than before?

f6058195 Location:

Value

Label

Frequency

Text

1.

Yours

100

2.

Your spouse or partner���s

22

3.

Both yours and your spouse���s

63

4.

Another household member

2

Summary Statistics: Max. 4.0; StDev 0.9423616825810378; Min. 1.0; Valid 187.0; Mean 1.8235294117647056

Variable Format: numeric

Notes: UNF:6:b/bttPuLS2/FdtlMtX3a9Q==

C.02b. In the last two weeks, did you use savings to deal with the loss of incom

f6058195 Location:

Value

Label

Frequency

Text

1.

No

122

3.

Don���t know

0

4.

Refused

1

2.

Yes

64

Summary Statistics: Valid 187.0; StDev 0.513236894340148; Max. 4.0; Mean 1.358288770053476; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:rZUCnRYzug/HE8vz4cMuEQ==

C.02c. (If 2 to C.02b) Whose savings were used? Was it���

f6058195 Location:

Value

Label

Frequency

Text

4.

Other household members��� savings

1

1.

Your savings

40

2.

Your spouse���s savings

9

3.

Joint savings of yourself and your spouse

14

Summary Statistics: Valid 64.0; StDev 0.8819171036881969; Max. 4.0; Mean 1.625; Min. 1.0

Variable Format: numeric

Notes: UNF:6:pAEybUtwLZVtS9x4f05qhg==

C.02d. (If 2 to C.02b) Who decided to use savings?

f6058195 Location:

Value

Label

Frequency

Text

3.

Self and partner/spouse jointly

26

2.

Partner/Spouse

1

1.

Self

37

4.

Other household member(s)

0

Summary Statistics: Valid 64.0; Mean 1.828125; Max. 3.0; Min. 1.0; StDev 0.9848807437274217

Variable Format: numeric

Notes: UNF:6:/H1IGOYMSgOTQTcHKdcwfw==

C.02c1. (If 2 to C.02b) How long do you think it will take to rebuild the saving

f6058195 Location:

Summary Statistics: Mean 2.146874998928979; Valid 64.0; Min. 0.0; Max. 12.0; StDev 2.2857021944009897

Variable Format: numeric

Notes: UNF:6:hF9u2wSkNiWmvdi6SkD2yQ==

C.02d. In the last two weeks, did you sell assets to deal with the loss of incom

f6058195 Location:

Value

Label

Frequency

Text

1.

No

159

2.

Yes

28

3.

Don���t know

0

4.

Refused

0

Summary Statistics: StDev 0.35776701909440933; Valid 187.0; Mean 1.1497326203208558; Min. 1.0; Max. 2.0

Variable Format: numeric

Notes: UNF:6:qdJrN1uY983QzTWcjVOQiw==

C.02e (If 2 to C.02d) Who owned the assets that were sold? Was it���

f6058195 Location:

Value

Label

Frequency

Text

2.

Your spouse

1

3.

You and your spouse jointly

9

4.

Other household members

1

1.

You

17

Summary Statistics: Mean 1.7857142857142858; Min. 1.0; Max. 4.0; Valid 28.0; StDev 1.0312575156051296

Variable Format: numeric

Notes: UNF:6:h4qXN/S4zh+Q7lyjYeYg2A==

C.02e1a. (If 2 to C.02d) Who decided to sell assets?

f6058195 Location:

Value

Label

Frequency

Text

1.

Self

19

4.

Other household member(s)

2

3.

Self and partner/spouse jointly

6

2.

Partner/Spouse

1

Summary Statistics: Mean 1.6785714285714286; Min. 1.0; StDev 1.055973183882699; Max. 4.0; Valid 28.0

Variable Format: numeric

Notes: UNF:6:jK4n38w2tSPO9QUFgx9nyw==

C.02e1. (If 2 to C.02d) How long do you think it will take to rebuild your asset

f6058195 Location:

Summary Statistics: Min. 0.0; Valid 28.0; StDev 2.297859596850834; Mean 2.4357142858207226; Max. 9.0

Variable Format: numeric

Notes: UNF:6:kCvqSLGq195LNLZwTXrgxg==

C.02f. In the last two weeks, did you borrow to deal with the loss of income?

f6058195 Location:

Value

Label

Frequency

Text

3.

Don���t know

0

4.

Refused

0

1.

No

95

2.

Yes

92

Summary Statistics: Valid 187.0; StDev 0.5012777647068091; Max. 2.0; Mean 1.4919786096256684; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:UtdXdGDs1yvU3MzUdkaUDQ==

C.02f1. How did you use borrowed funds?

f6058195 Location:

Value

Label

Frequency

Text

2.

Purchased agricultural inputs

11

6.

Made payment towards loan

0

5.

Paid school fees

9

1.

Purchased food for consumption

46

7.

other, specify

6

4.

Paid medical bills

5

3.

Made business investment

15

Summary Statistics: Min. 1.0; StDev 1.8093561585692066; Max. 7.0; Mean 2.391304347826087; Valid 92.0;

Variable Format: numeric

Notes: UNF:6:iQFZzFdjyXZ0YEkbxEMWEw==

@other, specify : How did you use borrowed funds?

f6058195 Location:

Variable Format: character

Notes: UNF:6:J349/VzR9/y75OPBMIkF8Q==

C.02g. Who did you borrow from? Was it a���

f6058195 Location:

Value

Label

Frequency

Text

6.

Bank

3

1.

Family member in the village

17

8.

NGO

0

3.

Neighbor or friend

40

5.

Rotating savings scheme

7

4.

Acquaintance

5

9.

Informal lender

3

10.

Other, specify

0

7.

Micro-credit

13

2.

Family member not in the village

4

Summary Statistics: StDev 2.11968680357407; Mean 3.652173913043478; Max. 9.0; Valid 92.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:gCi4NLnxGNULZlVpx5bLGQ==

@Other, specify : Who did you borrow from? Was it a...

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

C.02g2. Who decided to borrow?

f6058195 Location:

Value

Label

Frequency

Text

4.

Other household member(s)

0

3.

Self and partner/spouse jointly

21

2.

Partner/Spouse

4

1.

Self

67

Summary Statistics: Mean 1.5; StDev 0.8451542547285166; Min. 1.0; Valid 92.0; Max. 3.0

Variable Format: numeric

Notes: UNF:6:oK8azPbNef7gTHRWFQojEg==

C.02g3. What is your repayment plan for any loans that you borrowed in the last

f6058195 Location:

Value

Label

Frequency

Text

5.

Other

5

6.

Don't know

3

1.

Once off repayment

21

4.

Monthly repayments

30

3.

Fortnightly repayments

8

2.

Weekly repayments

25

Summary Statistics: Min. 1.0; Valid 92.0; Max. 6.0; StDev 1.416070483398078; Mean 2.8043478260869565

Variable Format: numeric

Notes: UNF:6:wmRNrDPxbI1wK0XIGhF6TQ==

C.02g4. How long do you think it will take to repay all the debts incurred due t

f6058195 Location:

Summary Statistics: Max. 30.0; StDev 5.599992641289101; Min. 0.0; Valid 92.0; Mean 4.72499999995141

Variable Format: numeric

Notes: UNF:6:Xork8JYsDq+y+JO2gH9Rew==

C.02g1. (If 2 to c.02f.) What is your repayment plan for this loan?

f6058195 Location:

Value

Label

Frequency

Text

1.

Once off repayment

26

3.

Fortnightly repayments

7

2.

Weekly repayments

24

4.

Monthly repayments

33

5.

Other

2

6.

Don't know

0

Summary Statistics: Valid 92.0; Mean 2.5760869565217392; Max. 5.0; StDev 1.2943978671603704; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:Hh+I1K8Ug/39COaIIaL+MQ==

C.02g2. (If 2 to c.02f.) How long do you think it will take to repay the debts i

f6058195 Location:

Summary Statistics: Max. 30.0; StDev 4.921087262966079; Min. 0.0; Valid 92.0; Mean 2.9934782622301066

Variable Format: numeric

Notes: UNF:6:ThAUEY1to8cZ1fLJ2xH7oA==

C.02h. Did you receive a transfer, as cash or in-kind, from the government to de

f6058195 Location:

Value

Label

Frequency

Text

3.

Don���t know

0

4.

Refused

0

2.

Yes

1

1.

No

186

Summary Statistics: StDev 0.07312724241271307; Max. 2.0; Mean 1.0053475935828877; Valid 187.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:ohRR2f3YqopXSxUq2fcx5Q==

C.02i. Did you receive a transfer, as cash or in-kind from a non-government orga

f6058195 Location:

Value

Label

Frequency

Text

4.

Refused

0

3.

Don���t know

0

1.

No

186

2.

Yes

1

Summary Statistics: Max. 2.0; Mean 1.0053475935828877; Valid 187.0; StDev 0.07312724241271307; Min. 1.0

Variable Format: numeric

Notes: UNF:6:HxFKRVOmHkNO9bh6n+KaCA==

C.02q. Did you participate in any relief program in the last 12 months?

f6058195 Location:

Value

Label

Frequency

Text

3.

Don't know

0

2.

Yes

8

1.

No

179

4.

Refused

0

Summary Statistics: Valid 187.0; StDev 0.20290569358105384; Min. 1.0; Max. 2.0; Mean 1.0427807486631016;

Variable Format: numeric

Notes: UNF:6:2Q05Bk2E577LncbqFZuAaw==

C.02q1. (If 2 to c.02q.) What is the name of program(s)?

f6058195 Location:

Variable Format: character

Notes: UNF:6:23+ON7/VNUv2BwIJJDN1nw==

C02j: 1= Consumed less food (fewer meals or lesser quantity for all or some memb

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

86

0.

No

101

Summary Statistics: Min. 0.0; StDev 0.49972679557957317; Mean 0.4598930481283422; Valid 187.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:EhyRuaQzAP/w0Yr/UjFmcw==

C02j: 2= Found an alternative job/worked extra hours to support family income

f6058195 Location:

Value

Label

Frequency

Text

0.

No

175

1.

Yes

12

Summary Statistics: Min. 0.0; Valid 187.0; Mean 0.06417112299465239; StDev 0.24571539752524688; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:zqcz/C7/k4gPF2xp6GEomQ==

C02j: 3= Reduced expenditure

f6058195 Location:

Value

Label

Frequency

Text

0.

No

100

1.

Yes

87

Summary Statistics: Valid 187.0; Min. 0.0; StDev 0.5001293605299555; Max. 1.0; Mean 0.4652406417112299;

Variable Format: numeric

Notes: UNF:6:dUaZdZbM25KaH7z2bzqwlQ==

C02j: 4= No action taken

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

65

0.

No

122

Summary Statistics: Max. 1.0; StDev 0.4774845440965319; Min. 0.0; Valid 187.0; Mean 0.3475935828877005

Variable Format: numeric

Notes: UNF:6:eSVqnxkvEHUCp9DuQe4kYg==

C02j: 95= Others, specify

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

0

0.

No

187

Summary Statistics: Valid 187.0; Min. 0.0; Max. 0.0; StDev 0.0; Mean 0.0

Variable Format: numeric

Notes: UNF:6:/AM4Ln4eHXN8sdXfQFRgmQ==

C02j: Other specify

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

C02j: Don't know

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

0

0.

No

187

Summary Statistics: StDev 0.0; Mean 0.0; Max. 0.0; Valid 187.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:/AM4Ln4eHXN8sdXfQFRgmQ==

C02k: 1= Food items

f6058195 Location:

Value

Label

Frequency

Text

0.

No

17

1.

Yes

70

Summary Statistics: Min. 0.0; Valid 87.0; Mean 0.8045977011494252; StDev 0.39880870450048034; Max. 1.0

Variable Format: numeric

Notes: UNF:6:d4Vi9OUb4ijwEo45YiX1lQ==

C02k: 2= Medical expenses

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

9

0.

No

78

Summary Statistics: Min. 0.0; Valid 87.0; Mean 0.10344827586206898; Max. 1.0; StDev 0.30630896237792204;

Variable Format: numeric

Notes: UNF:6:wJChHUK6rs8i9nT9Zm/smg==

C02k: 3= Children's education

f6058195 Location:

Value

Label

Frequency

Text

0.

No

79

1.

Yes

8

Summary Statistics: StDev 0.29063618702833866; Mean 0.09195402298850576; Max. 1.0; Min. 0.0; Valid 87.0;

Variable Format: numeric

Notes: UNF:6:2BvknhjKPy6Y72f7t7FpHw==

C02k: 4= Transportation

f6058195 Location:

Value

Label

Frequency

Text

0.

No

53

1.

Yes

34

Summary Statistics: StDev 0.4907593034595512; Valid 87.0; Min. 0.0; Max. 1.0; Mean 0.39080459770114945;

Variable Format: numeric

Notes: UNF:6:ICKvv47oksCNvqJMtSWg0A==

C02k: 5= Agriculture inputs

f6058195 Location:

Value

Label

Frequency

Text

0.

No

81

1.

Yes

6

Summary Statistics: Mean 0.06896551724137932; StDev 0.2548644623048698; Max. 1.0; Valid 87.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:/Fh2ypqzpk0tmtlrQ/deHw==

C02k: 6= Utilities (electricity/water/newspaper/television)

f6058195 Location:

Value

Label

Frequency

Text

0.

No

66

1.

Yes

21

Summary Statistics: Min. 0.0; Max. 1.0; Valid 87.0; Mean 0.24137931034482757; StDev 0.4304004960601475

Variable Format: numeric

Notes: UNF:6:CNL1Zt/hutivmxtZyWJIOQ==

C02k: 7= Livestock needs

f6058195 Location:

Value

Label

Frequency

Text

0.

No

81

1.

Yes

6

Summary Statistics: Mean 0.0689655172413793; Valid 87.0; StDev 0.2548644623048697; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:+qhO0Fa9N5GMK2KpazVLug==

C02k: 8= Clothing

f6058195 Location:

Value

Label

Frequency

Text

0.

No

33

1.

Yes

54

Summary Statistics: Mean 0.6206896551724138; Valid 87.0; Max. 1.0; StDev 0.4880282900288508; Min. 0.0

Variable Format: numeric

Notes: UNF:6:KDwAqXe277ysBvnTAUKQlQ==

C02k: 9= Mobile phone recharge

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

50

0.

No

37

Summary Statistics: Valid 87.0; Mean 0.5747126436781609; Min. 0.0; StDev 0.49725254236131416; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:Z06jch0ar8wO7OR4Qncgdg==

C02k: 10= Festival/wedding/social functions

f6058195 Location:

Value

Label

Frequency

Text

0.

No

51

1.

Yes

36

Summary Statistics: Mean 0.4137931034482759; Valid 87.0; Max. 1.0; Min. 0.0; StDev 0.49536747313510243

Variable Format: numeric

Notes: UNF:6:pZ6JMvnNVwFcNCXA23xrYA==

C02k: 95= Others, specify

f6058195 Location:

Value

Label

Frequency

Text

0.

No

86

1.

Yes

1

Summary Statistics: Max. 1.0; Min. 0.0; Mean 0.011494252873563229; Valid 87.0; StDev 0.10721125348377941

Variable Format: numeric

Notes: UNF:6:8w5WsW2skxghkJ2qHTayTQ==

C02k: Other specify

f6058195 Location:

Variable Format: character

Notes: UNF:6:chT8MACGVviYs4IhUhcF1Q==

98= Don't know

f6058195 Location:

Value

Label

Frequency

Text

0.

No

87

1.

Yes

0

Summary Statistics: Mean 0.0; Valid 87.0; Max. 0.0; Min. 0.0; StDev 0.0

Variable Format: numeric

Notes: UNF:6:8yN+yf3mjKXGT9Rpq5QBlw==

C.03 Has anyone in your household been sick in the last two weeks days?

f6058195 Location:

Value

Label

Frequency

Text

1.

No

256

4.

Refused

1

2.

Yes

240

3.

Don���t know

0

Summary Statistics: Mean 1.4889336016096582; Min. 1.0; StDev 0.5123261601486768; Valid 497.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:sqUYQIIn6vaOyIf+5MfScg==

C.04 Over the past 24 hours, how many hours did you spend caring for other membe

f6058195 Location:

Summary Statistics: Valid 497.0; Mean 7.521126760563382; StDev 5.4428904813864385; Min. 0.0; Max. 24.0;

Variable Format: numeric

Notes: UNF:6:Z2WOTstqa1xNVJMtvxIqsw==

C.05. How does this compare to a typical day before the COVID-19 epidemic? Is it

f6058195 Location:

Value

Label

Frequency

Text

4.

Don���t know

11

3.

About the same as before

203

2.

Less than before

94

1.

More than before

189

Summary Statistics: Valid 497.0; Mean 2.0724346076458753; Max. 4.0; Min. 1.0; StDev 0.9347592778408615

Variable Format: numeric

Notes: UNF:6:sBrpTqnsdcC4keVflR9zyw==

C.06. Over the past 24 hours, how many hours did your (spouse/partner) spend car

f6058195 Location:

Summary Statistics: StDev 6.291250578522549; Min. 0.0; Max. 24.0; Valid 497.0; Mean 7.187122736418511;

Variable Format: numeric

Notes: UNF:6:fuUH2SKHz3RITitMcyiKJQ==

C.07. How does this compare to a typical day before the COVID-19 epidemic? Is it

f6058195 Location:

Value

Label

Frequency

Text

4.

Don���t know

57

2.

Less than before

68

3.

About the same as before

238

1.

More than before

134

Summary Statistics: StDev 1.008410468319492; Mean 2.4386317907444672; Min. 1.0; Max. 4.0; Valid 497.0

Variable Format: numeric

Notes: UNF:6:vuY1n/Kld19uMeiHk2m6Yw==

C.08 Have you done any (INSERT TYPE OF WORK BASED ON B.09) work in the last 7 da

f6058195 Location:

Value

Label

Frequency

Text

4.

Refused

0

1.

No

137

2.

Yes

317

3.

Don���t know

0

Summary Statistics: Mean 1.698237885462555; StDev 0.45952896102736757; Valid 454.0; Max. 2.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:yHlGAE/i3SPYHtjiBeQblQ==

C.09 How does the amount of time you spent working in the last 7 days compare to

f6058195 Location:

Value

Label

Frequency

Text

2.

Less than before

126

4.

Don���t know

47

3.

About the same as before

218

1.

More than before

106

Summary Statistics: Max. 4.0; StDev 0.9274223884632936; Min. 1.0; Valid 497.0; Mean 2.414486921529175

Variable Format: numeric

Notes: UNF:6:X4HsoES4lSm8i9gf4WuLoA==

C.10 Has your spouse or partner done any (INSERT TYPE OF WORK BASED ON B.10) wor

f6058195 Location:

Value

Label

Frequency

Text

5.

Refused

0

1.

No

102

2.

Yes

233

3.

Do not have a partner/spouse

61

4.

Don���t know

7

Summary Statistics: Max. 4.0; Mean 1.933002481389578; Min. 1.0; Valid 403.0; StDev 0.6860208049104229

Variable Format: numeric

Notes: UNF:6:qjS+ID42DdLQ/Qc/DY4/eQ==

C.11 How does the amount of time your spouse or partner spent working in the las

f6058195 Location:

Value

Label

Frequency

Text

4.

Don���t know

47

2.

Less than before

81

1.

More than before

91

3.

About the same as before

217

Summary Statistics: Valid 436.0; Mean 2.5045871559633026; Max. 4.0; Min. 1.0; StDev 0.9407637221386269

Variable Format: numeric

Notes: UNF:6:qmn/MAg3WJXyDMw+WIvdrQ==

C.12. In the past 7 days, who usually decided how the money you personally earne

f6058195 Location:

Value

Label

Frequency

Text

5.

You did not earn money

26

3.

You and your spouse jointly

240

2.

Your spouse or partner

19

4.

Someone else

0

1.

You

212

Summary Statistics: Min. 1.0; Max. 5.0; Mean 2.2132796780684103; Valid 497.0; StDev 1.1564966860864412;

Variable Format: numeric

Notes: UNF:6:Ed5wykVmyqnHVUSoMubFfQ==

C.13 (Skip if 5 to C.12) In the past 7 days, would you say that the money you pe

f6058195 Location:

Value

Label

Frequency

Text

3.

About the same as your spouse or partner

27

5.

Do not have a partner or spouse

58

6.

Don���t know

8

2.

Less than your spouse or partner

159

1.

More than your spouse or partner

206

4.

Spouse or partner has no earnings

13

Summary Statistics: Max. 6.0; Min. 1.0; Valid 471.0; StDev 1.4059418690642211; Mean 2.1125265392781314

Variable Format: numeric

Notes: UNF:6:VieBKBLGssif+nrZARnbig==

C.14 (Skip if 4 to C.13) In the past 7 days, who usually decided how your spouse

f6058195 Location:

Value

Label

Frequency

Text

5.

Do not have a partner or spouse

18

4.

Someone else

0

1.

You

24

3.

You and your spouse jointly

250

2.

Your spouse

134

Summary Statistics: Valid 426.0; Min. 1.0; Mean 2.6572769953051645; Max. 5.0; StDev 0.7699693520479047;

Variable Format: numeric

Notes: UNF:6:MNasDBzutwbe7Hepez4ORA==

How many boys in the age group of 5-18 years are there in your household?

f6058195 Location:

Summary Statistics: Min. 0.0; Max. 11.0; Mean 1.4527162977867198; StDev 1.4640440794348395; Valid 497.0;

Variable Format: numeric

Notes: UNF:6:I2HE/jtofxuAp6tSq+oOGA==

And, how many of these <font color=#00FA9A>{#C_15a1#}</font> boys were attending

f6058195 Location:

Summary Statistics: Valid 340.0; Mean 2.052941176470588; Max. 11.0; Min. 0.0; StDev 1.2910482110499395;

Variable Format: numeric

Notes: UNF:6:jZKx/Jb+IRRfbRyglweykA==

Why weren't some of the boys attending school before the lockdown?

f6058195 Location:

Value

Label

Frequency

Text

3.

They help in the family business or farm

0

2.

No school in the neighbourhood

0

7.

Other [Specify]

3

5.

They did not want to study

0

8.

Don���t know

0

1.

Did not have enough money

10

4.

Needed a helping hand at home

0

6.

They started working or looking for a job

5

Summary Statistics: Valid 18.0; Max. 7.0; StDev 2.7682844313419923; Min. 1.0; Mean 3.388888888888889;

Variable Format: numeric

Notes: UNF:6:Qh1MnvktKDFqpVdLq4Tsxw==

@Other [Specify] : Why weren't some of the boys attending school before the lock

f6058195 Location:

Variable Format: character

Notes: UNF:6:KdCldTgFnXJVF9ocQvpM2w==

Specify why won't you send your boy(s) back to school

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

Are schools open right now in your area?

f6058195 Location:

Value

Label

Frequency

Text

3.

Don't know

0

1.

Yes

339

2.

No

1

Summary Statistics: Min. 1.0; StDev 0.054232614454664; Max. 2.0; Valid 340.0; Mean 1.0029411764705882;

Variable Format: numeric

Notes: UNF:6:ovlV2K0646Ze2QQHvIFN5w==

How many of these <font color=#00FA9A>{#C_15a1#}</font> boys are currently enrol

f6058195 Location:

Summary Statistics: Max. 11.0; Valid 340.0; Min. 0.0; Mean 1.8882352941176472; StDev 1.3521019811694;

Variable Format: numeric

Notes: UNF:6:eFfWnB1rwVCS9ugE3KE84Q==

C.15a5. How many of these <font color=#00FA9A>{#C_15a1#}</font> boys are current

f6058195 Location:

Summary Statistics: Min. 0.0; Valid 312.0; StDev 1.411573074263423; Mean 1.8012820512820515; Max. 11.0;

Variable Format: numeric

Notes: UNF:6:adYPZwmyjq7TEUH5tFDhmQ==

C.15a6. And, how many boys who are enrolled in school are attending classes onli

f6058195 Location:

Summary Statistics: Max. 3.0; Mean 0.08974358974358984; StDev 0.41471013968647463; Valid 312.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:eZjiwN0/iWclZB8Rhdjyew==

C.15a7 . Will you send your boy(s) back to school when they reopen?

f6058195 Location:

Value

Label

Frequency

Text

2.

No

1

1.

Yes

0

3.

Don't know

0

Summary Statistics: StDev 0.0; Valid 1.0; Mean 2.0; Min. 2.0; Max. 2.0

Variable Format: numeric

Notes: UNF:6:osvSa8D/Phh6JfwNoRizQg==

Not safe due to the Coronavirus : C.15a7 . Why won't you send your send your boy

f6058195 Location:

Value

Label

Frequency

Text

0.

No

1

1.

Yes

0

Summary Statistics: Max. 0.0; Mean 0.0; StDev 0.0; Min. 0.0; Valid 1.0

Variable Format: numeric

Notes: UNF:6:vgw5BC3aAdQ+yZbytdcaYw==

Too expensive : C.15a7 . Why won't you send your send your boy(s) back to school

f6058195 Location:

Value

Label

Frequency

Text

0.

No

0

1.

Yes

1

Summary Statistics: Min. 1.0; Valid 1.0; Max. 1.0; StDev 0.0; Mean 1.0

Variable Format: numeric

Notes: UNF:6:PAxn+63x53angi1r9A7RgA==

He will help in the family business or farm : C.15a7 . Why won't you send your s

f6058195 Location:

Value

Label

Frequency

Text

0.

No

1

1.

Yes

0

Summary Statistics: Mean 0.0; Min. 0.0; Valid 1.0; StDev 0.0; Max. 0.0;

Variable Format: numeric

Notes: UNF:6:vgw5BC3aAdQ+yZbytdcaYw==

Need help at home : C.15a7 . Why won't you send your send your boy(s) back to sc

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

0

0.

No

1

Summary Statistics: Min. 0.0; StDev 0.0; Valid 1.0; Mean 0.0; Max. 0.0

Variable Format: numeric

Notes: UNF:6:vgw5BC3aAdQ+yZbytdcaYw==

He does not want to continue his studies : C.15a7 . Why won't you send your send

f6058195 Location:

Value

Label

Frequency

Text

0.

No

1

1.

Yes

0

Summary Statistics: Min. 0.0; Mean 0.0; StDev 0.0; Valid 1.0; Max. 0.0;

Variable Format: numeric

Notes: UNF:6:vgw5BC3aAdQ+yZbytdcaYw==

He will start looking for a job : C.15a7 . Why won't you send your send your boy

f6058195 Location:

Value

Label

Frequency

Text

0.

No

1

1.

Yes

0

Summary Statistics: Min. 0.0; Mean 0.0; StDev 0.0; Max. 0.0; Valid 1.0

Variable Format: numeric

Notes: UNF:6:vgw5BC3aAdQ+yZbytdcaYw==

He is working now : C.15a7 . Why won't you send your send your boy(s) back to sc

f6058195 Location:

Value

Label

Frequency

Text

0.

No

1

1.

Yes

0

Summary Statistics: Mean 0.0; Min. 0.0; Valid 1.0; StDev 0.0; Max. 0.0

Variable Format: numeric

Notes: UNF:6:vgw5BC3aAdQ+yZbytdcaYw==

No money to pay fees due to COVID-19 : C.15a7 . Why won't you send your send you

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

0

0.

No

1

Summary Statistics: Valid 1.0; Mean 0.0; StDev 0.0; Min. 0.0; Max. 0.0;

Variable Format: numeric

Notes: UNF:6:vgw5BC3aAdQ+yZbytdcaYw==

Other [Specify] : C.15a7 . Why won't you send your send your boy(s) back to scho

f6058195 Location:

Value

Label

Frequency

Text

0.

No

0

1.

Yes

1

Summary Statistics: Mean 1.0; Valid 1.0; Max. 1.0; StDev 0.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:PAxn+63x53angi1r9A7RgA==

@Other [Specify] : C.15a7 . Why won't you send your send your boy(s) back to sch

f6058195 Location:

Variable Format: character

Notes: UNF:6:jEkfkSNb3sw8kI0gdjYOGA==

Don't know : C.15a7 . Why won't you send your send your boy(s) back to school?

f6058195 Location:

Value

Label

Frequency

Text

0.

No

1

1.

Yes

0

Summary Statistics: StDev 0.0; Max. 0.0; Valid 1.0; Mean 0.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:vgw5BC3aAdQ+yZbytdcaYw==

How many girls in the age group of 5-18 years are there in your household?

f6058195 Location:

Summary Statistics: Mean 1.2354124748490947; Min. 0.0; StDev 1.351117175473764; Max. 10.0; Valid 497.0;

Variable Format: numeric

Notes: UNF:6:jTJ6QuhbLzx/3q4yVgLUbg==

And, how many of these <font color=#00FA9A>{#C_15b1#}</font> girls were attendin

f6058195 Location:

Summary Statistics: Min. 0.0; Max. 10.0; Valid 314.0; Mean 1.8853503184713376; StDev 1.2041894539905815;

Variable Format: numeric

Notes: UNF:6:MzLe9IJ+3Yenzsba4pZlXA==

Why weren't some of the girls attending school before the lockdown?

f6058195 Location:

Value

Label

Frequency

Text

2.

No school in the neighbourhood

0

4.

Needed a helping hand at home

2

8.

Don���t know

0

6.

They started working or looking for a job

2

5.

They did not want to study

0

1.

Did not have enough money

7

7.

Other [Specify]

5

3.

They help in the family business or farm

0

Summary Statistics: StDev 2.7778888866667555; Max. 7.0; Mean 3.875; Min. 1.0; Valid 16.0

Variable Format: numeric

Notes: UNF:6:fvUrn4UIoe7ONTELCIYWGQ==

@Other [Specify] : Why weren't some of the girls attending school before the loc

f6058195 Location:

Variable Format: character

Notes: UNF:6:D0LtJ4ijId4Vxsb/zsiCig==

Specify why won't you send your girl(s) back to school

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

How many of these <font color=#00FA9A>{#C_15b1#}</font> girls are currently enro

f6058195 Location:

Summary Statistics: Max. 10.0; Mean 1.8490566037735852; StDev 1.3580893522607254; Min. 0.0; Valid 212.0;

Variable Format: numeric

Notes: UNF:6:o/ZflLItd5lvs3w8gmraeA==

How many of these <font color=#00FA9A>{#C_15b1#}</font> girls are currently goin

f6058195 Location:

Summary Statistics: Min. 0.0; StDev 1.6795330795013674; Mean 2.1164383561643834; Valid 146.0; Max. 11.0;

Variable Format: numeric

Notes: UNF:6:OMJu4ElbJHiiwMx+bxX9MA==

And, how many girls who are enrolled in school are attending classes online or o

f6058195 Location:

Summary Statistics: Min. 0.0; Mean 0.09326424870466325; Max. 3.0; Valid 193.0; StDev 0.4227960225498075;

Variable Format: numeric

Notes: UNF:6:l/jZxQKpLBiMM4RvrwhkBw==

Will you send your girl(s) back to school when they reopen?

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

298

2.

No

11

3.

Don't know

5

Summary Statistics: Min. 1.0; Mean 1.0668789808917198; Valid 314.0; StDev 0.30749706563068463; Max. 3.0

Variable Format: numeric

Notes: UNF:6:eEBlWnV4WxfyUS7yY7w18Q==

Not safe due to the Coronavirus : Why won't you send your send your girl(s) back

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

1

0.

No

10

Summary Statistics: StDev 0.30151134457776363; Valid 11.0; Max. 1.0; Min. 0.0; Mean 0.0909090909090909;

Variable Format: numeric

Notes: UNF:6:cCqueaEZ0RhHqeWIIu2C+A==

Too expensive : Why won't you send your send your girl(s) back to school?

f6058195 Location:

Value

Label

Frequency

Text

0.

No

8

1.

Yes

3

Summary Statistics: Max. 1.0; Valid 11.0; Min. 0.0; StDev 0.46709936649691375; Mean 0.2727272727272727

Variable Format: numeric

Notes: UNF:6:lfRKQX43pP0M+iJ7Quk0gA==

She will help in the family business or farm : Why won't you send your send your

f6058195 Location:

Value

Label

Frequency

Text

0.

No

11

1.

Yes

0

Summary Statistics: Valid 11.0; Max. 0.0; Min. 0.0; Mean 0.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:HI3AjMnV1DJiscQ3z580Iw==

Need help at home : Why won't you send your send your girl(s) back to school?

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

0

0.

No

11

Summary Statistics: Valid 11.0; Min. 0.0; Max. 0.0; Mean 0.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:HI3AjMnV1DJiscQ3z580Iw==

She does not want to continue his studies : Why won't you send your send your gi

f6058195 Location:

Value

Label

Frequency

Text

0.

No

10

1.

Yes

1

Summary Statistics: Mean 0.09090909090909088; StDev 0.30151134457776363; Valid 11.0; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:xzEkVRtdfOYmt6bJq9Xy7g==

She will start looking for a job : Why won't you send your send your girl(s) bac

f6058195 Location:

Value

Label

Frequency

Text

0.

No

11

1.

Yes

0

Summary Statistics: StDev 0.0; Mean 0.0; Valid 11.0; Min. 0.0; Max. 0.0

Variable Format: numeric

Notes: UNF:6:HI3AjMnV1DJiscQ3z580Iw==

She is working now : Why won't you send your send your girl(s) back to school?

f6058195 Location:

Value

Label

Frequency

Text

0.

No

11

1.

Yes

0

Summary Statistics: Mean 0.0; Valid 11.0; Max. 0.0; StDev 0.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:HI3AjMnV1DJiscQ3z580Iw==

No money to pay fees due to COVID-19 : Why won't you send your send your girl(s)

f6058195 Location:

Value

Label

Frequency

Text

0.

No

3

1.

Yes

8

Summary Statistics: Mean 0.7272727272727273; Min. 0.0; Valid 11.0; Max. 1.0; StDev 0.46709936649691375

Variable Format: numeric

Notes: UNF:6:xYCQWptU/OFHECz1QoNPeQ==

Other [Specify] : Why won't you send your send your girl(s) back to school?

f6058195 Location:

Value

Label

Frequency

Text

0.

No

11

1.

Yes

0

Summary Statistics: StDev 0.0; Max. 0.0; Min. 0.0; Mean 0.0; Valid 11.0

Variable Format: numeric

Notes: UNF:6:HI3AjMnV1DJiscQ3z580Iw==

@Other [Specify] : Why won't you send your send your girl(s) back to school?

f6058195 Location:

Variable Format: character

Notes: UNF:6:cFAGO/MBHEw6F9k2b+sfsA==

Don't know : Why won't you send your send your girl(s) back to school?

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

0

0.

No

11

Summary Statistics: Max. 0.0; Min. 0.0; Valid 11.0; StDev 0.0; Mean 0.0;

Variable Format: numeric

Notes: UNF:6:HI3AjMnV1DJiscQ3z580Iw==

E.01 You or any member of your household were worried you would not have enough

f6058195 Location:

Value

Label

Frequency

Text

1.

No

114

4.

Refused

0

3.

Don���t know

1

2.

Yes

382

Summary Statistics: StDev 0.42433022908046636; Max. 3.0; Valid 497.0; Min. 1.0; Mean 1.7726358148893362;

Variable Format: numeric

Notes: UNF:6:/HgGsVkjSrGPpdPTQPOWfQ==

E.02 You or any member of your household were unable to eat healthy and nutriti

f6058195 Location:

Value

Label

Frequency

Text

1.

No

162

2.

Yes

335

4.

Refused

0

3.

Don���t know

0

Summary Statistics: Mean 1.6740442655935612; Min. 1.0; Max. 2.0; StDev 0.46920310579558366; Valid 497.0

Variable Format: numeric

Notes: UNF:6:wOhuuo9k6yE7ednNuG19tA==

E.03 You or any member of your household had to skip a meal?

f6058195 Location:

Value

Label

Frequency

Text

2.

Yes

294

3.

Don���t know

3

4.

Refused

0

1.

No

200

Summary Statistics: Max. 3.0; StDev 0.5018383159278413; Valid 497.0; Mean 1.6036217303822937; Min. 1.0

Variable Format: numeric

Notes: UNF:6:d9XaHkcNmYbLpSGLblk7Jg==

E.04 You or any member of your household ate less than you thought you should h

f6058195 Location:

Value

Label

Frequency

Text

1.

No

146

2.

Yes

351

4.

Refused

0

3.

Don���t know

0

Summary Statistics: Mean 1.7062374245472833; Valid 497.0; Max. 2.0; Min. 1.0; StDev 0.45594342104405033;

Variable Format: numeric

Notes: UNF:6:h6FfdNTg1nROjvkqaW+AYw==

E.05 You or any member of your household were hungry but did not eat?

f6058195 Location:

Value

Label

Frequency

Text

1.

No

287

2.

Yes

210

3.

Don���t know

0

4.

Refused

0

Summary Statistics: Valid 497.0; Mean 1.4225352112676055; StDev 0.4944604538188385; Min. 1.0; Max. 2.0;

Variable Format: numeric

Notes: UNF:6:a9NvJwY4TNU2oeHI5FIxKQ==

E.06 Your household access to food changed since the COVID-19 pandemic affected

f6058195 Location:

Value

Label

Frequency

Text

4.

Refused

0

2.

Yes

416

3.

Don���t know

0

1.

No

81

Summary Statistics: StDev 0.3697176144417622; Mean 1.8370221327967806; Valid 497.0; Max. 2.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:jglll7rIoGu/3XUsqPGBFA==

E.07 If yes (2), how?

f6058195 Location:

Value

Label

Frequency

Text

1.

Unable to obtain enough food

208

2.

Get food from different sources

36

3.

Eat different foods

20

4.

Eat less food

121

5.

Other

32

Summary Statistics: Min. 1.0; StDev 1.5080259363425428; Max. 5.0; Valid 417.0; Mean 2.3597122302158278

Variable Format: numeric

Notes: UNF:6:pMpKqNexnnSMEuBBRlvB+A==

1.������������ Grains, roots and tubers (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

2.

No

60

1.

Yes

437

Summary Statistics: Valid 497.0; Max. 2.0; Min. 1.0; Mean 1.1207243460764587; StDev 0.3261349266698941

Variable Format: numeric

Notes: UNF:6:DweEokeGt0GwX3ZpR3VNZg==

2.������������ Pulses/Beans/peas (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

2.

No

245

1.

Yes

252

Summary Statistics: Min. 1.0; StDev 0.5004541327003386; Max. 2.0; Valid 497.0; Mean 1.4929577464788735

Variable Format: numeric

Notes: UNF:6:Kdg84mqpHvR4iQHCoOaeYQ==

3.������������ Nuts and seeds (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

226

2.

No

271

Summary Statistics: StDev 0.4984479709032235; Min. 1.0; Valid 497.0; Mean 1.5452716297786722; Max. 2.0

Variable Format: numeric

Notes: UNF:6:2YZXvWGx/+xv8kksqJEkiQ==

4.������������ Dairy (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

2.

No

349

1.

Yes

148

Summary Statistics: Mean 1.7022132796780682; StDev 0.4577459795994093; Max. 2.0; Valid 497.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:e8ozuywYk0vlS4zkd/qVjA==

5.������������ Meat, poultry and fish (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

2.

No

136

1.

Yes

361

Summary Statistics: Max. 2.0; Mean 1.2736418511066399; Min. 1.0; Valid 497.0; StDev 0.4462765042492733;

Variable Format: numeric

Notes: UNF:6:wHHXDXOINpiw7wNEGVuUxg==

6.������������ Eggs (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

2.

No

404

1.

Yes

93

Summary Statistics: Min. 1.0; Max. 2.0; StDev 0.3904029801647625; Mean 1.8128772635814887; Valid 497.0;

Variable Format: numeric

Notes: UNF:6:6EtMsucHqQ/Pl8zf3Fsn6Q==

7.������������ Dark leafy greens and vegetables (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

364

2.

No

133

Summary Statistics: Max. 2.0; Valid 497.0; StDev 0.4431568632573207; Mean 1.267605633802817; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:7pdvGv26Da91v2OezoaX3g==

8.������������ Other Vitamin A-rich fruits and vegetables (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

226

2.

No

271

Summary Statistics: Max. 2.0; Valid 497.0; StDev 0.4984479709032236; Mean 1.5452716297786722; Min. 1.0

Variable Format: numeric

Notes: UNF:6:KSyevTKEc39xbyMKxbh4yg==

9.������������ Other vegetables (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

2.

No

293

1.

Yes

204

Summary Statistics: Mean 1.5895372233400404; Max. 2.0; StDev 0.49241339823447494; Valid 497.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:qQ6OR1lYzH8Ng8N4CvVylw==

10.���� Other fruits (dietary diversity)

f6058195 Location:

Value

Label

Frequency

Text

1.

Yes

204

2.

No

293

Summary Statistics: Min. 1.0; Max. 2.0; Mean 1.5895372233400404; StDev 0.492413398234475; Valid 497.0

Variable Format: numeric

Notes: UNF:6:WlS2jTGXXWSKzfxBOYbSgA==

Fa1: In the first round of the phone survey you reported that your main source o

f6058195 Location:

Value

Label

Frequency

Text

2.

No

90

1.

Yes

407

Summary Statistics: Max. 2.0; Mean 1.1810865191146882; StDev 0.38547784882511216; Valid 497.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:rA3PGWNpIO/fL0fqx5Anow==

Fa2. If no, what is your current main source of drinking water?

f6058195 Location:

Value

Label

Frequency

Text

6.

Other

13

7.

Don���t know

0

5.

Piped water supply

26

8.

Refused

0

3.

Well / hand pump

8

1.

Pond in the village

0

4.

Borewell/Tube well

36

2.

Natural spring/ river/ canal

7

Summary Statistics: Max. 6.0; Min. 2.0; StDev 1.0809899749038827; Valid 90.0; Mean 4.333333333333333

Variable Format: numeric

Notes: UNF:6:TfqjjqAsrhj5EFhRJlpPVg==

Fa3. What is the distance to this main source of drinking water?

f6058195 Location:

Summary Statistics: Min. 0.0; StDev 1.6878091508011315; Mean 0.5831187128555964; Valid 497.0; Max. 30.0

Variable Format: numeric

Notes: UNF:6:JIyouEpBgR1OM3G2iJXbaw==

Fa4. Does it typically take you more than 30 minutes to collect water, round tri

f6058195 Location:

Value

Label

Frequency

Text

4.

Refused

0

2.

No

426

1.

Yes

62

3.

Don���t know

9

Summary Statistics: Min. 1.0; Valid 497.0; StDev 0.36297407412967747; Max. 3.0; Mean 1.8933601609657948

Variable Format: numeric

Notes: UNF:6:Wj7vXtiBse+HuOO+aFgpiQ==

Fa4. Where is your drinking water collected from?

f6058195 Location:

Value

Label

Frequency

Text

3.

Elsewhere

257

4.

Refused

0

2.

In own yard/plot

126

1.

In own dwelling

114

Summary Statistics: Min. 1.0; Valid 497.0; StDev 0.8154940254927253; Mean 2.287726358148894; Max. 3.0

Variable Format: numeric

Notes: UNF:6:Be4nFSsSaG+IzpFvkGHnvQ==

F.01 Worry. In the last 2 weeks, how frequently did you or anyone in your househ

f6058195 Location:

Value

Label

Frequency

Text

1.

Never, 0 times

332

5.

Always, more than 10 times

2

4.

Often, 6-10 times

6

7.

Refused

0

6.

Don���t know

0

3.

Sometimes, 2-5 times

61

2.

Rarely, 1 time

96

Summary Statistics: Min. 1.0; Max. 5.0; StDev 0.7857209237551287; Mean 1.4909456740442657; Valid 497.0

Variable Format: numeric

Notes: UNF:6:4ZDK0v7SeV9i3fCCsfBbSg==

F.02 Plans. In the last 2 weeks, how frequently have you or anyone in your house

f6058195 Location:

Value

Label

Frequency

Text

7.

Refused

0

6.

Don���t know

0

5.

Always, more than 10 times

0

3.

Sometimes, 2-5 times

57

1.

Never, 0 times

337

4.

Often, 6-10 times

5

2.

Rarely, 1 time

98

Summary Statistics: Max. 4.0; Valid 497.0; Min. 1.0; StDev 0.7341331286894216; Mean 1.4567404426559356;

Variable Format: numeric

Notes: UNF:6:VuX3dLRW7tFuVeBO94rc+w==

F.03 Drink. In the last 2 weeks, how frequently has there not been as much water

f6058195 Location:

Value

Label

Frequency

Text

6.

Don���t know

0

1.

Never, 0 times

362

3.

Sometimes, 2-5 times

32

4.

Often, 6-10 times

3

2.

Rarely, 1 time

100

7.

Refused

0

5.

Always, more than 10 times

0

Summary Statistics: Max. 4.0; Valid 497.0; Mean 1.348088531187123; StDev 0.626660188735828; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:vIT79qN2SVBteVQPranucg==

F.04 Hands. In the last 2 weeks, how frequently have you or anyone in your house

f6058195 Location:

Value

Label

Frequency

Text

1.

Never, 0 times

400

3.

Sometimes, 2-5 times

20

5.

Always, more than 10 times

0

6.

Don���t know

0

2.

Rarely, 1 time

75

7.

Refused

0

4.

Often, 6-10 times

2

Summary Statistics: StDev 0.5379569465866825; Valid 497.0; Mean 1.2434607645875255; Max. 4.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:fDri5k481TM13MqiCvIRRg==

F.05 Have you heard of recommendations to wash your hands frequently, especially

f6058195 Location:

Value

Label

Frequency

Text

1.

No

17

3.

Don���t know

0

2.

Yes

480

4.

Refused

0

Summary Statistics: Valid 497.0; StDev 0.18193910197485433; Min. 1.0; Max. 2.0; Mean 1.9657947686116701;

Variable Format: numeric

Notes: UNF:6:SwSXCcoM870/N2ZVXKoLUA==

F.08 Are you using more, less or the same amount of water for domestic purposes

f6058195 Location:

Value

Label

Frequency

Text

1.

More

275

2.

Less

50

3.

The same as last year

172

Summary Statistics: Valid 497.0; Min. 1.0; Max. 3.0; StDev 0.9263763991737207; Mean 1.7927565392354126;

Variable Format: numeric

Notes: UNF:6:uapsfNSVKryfWFMPRCZXSw==

F.09 How much of this change is a result of Covid-19?

f6058195 Location:

Value

Label

Frequency

Text

5.

Don���t know

0

1.

Not at all

89

2.

To a small extent

105

4.

To a large extent

78

6.

Refused

0

3.

To a medium extent

60

Summary Statistics: Min. 1.0; Valid 332.0; Max. 4.0; StDev 1.1162337878691233; Mean 2.3825301204819276

Variable Format: numeric

Notes: UNF:6:wu5PcRKt17dp2Gonnaw4iQ==

F.10 Do you pay for domestic water?

f6058195 Location:

Value

Label

Frequency

Text

2.

No

295

1.

Yes

202

Summary Statistics: Mean 1.5935613682092553; Valid 497.0; Max. 2.0; StDev 0.4916631509361307; Min. 1.0

Variable Format: numeric

Notes: UNF:6:8ivEj8ONxaZzazGYjYjZYw==

Do you pay more, less or the same amount for water as you did before Covid-19?

f6058195 Location:

Value

Label

Frequency

Text

3.

The same as last year

63

2.

Less

22

1.

More

133

Summary Statistics: Max. 3.0; Valid 218.0; Min. 1.0; StDev 0.8942286426550959; Mean 1.6788990825688073

Variable Format: numeric

Notes: UNF:6:pwDwXG4Tn3tfgrVMGl1b4g==

X-Y

f6058195 Location:

Summary Statistics: Min. NaN; Mean NaN; Valid 0.0; Max. NaN; StDev NaN;

Variable Format: numeric

Notes: UNF:6:lHV9Jv4OXct64lxyWpr3Ew==

In previous survey, you reported that X number of men have migrated from your ho

f6058195 Location:

Summary Statistics: Mean 0.05231388329979887; StDev 0.2999994591198272; Min. 0.0; Max. 2.0; Valid 497.0;

Variable Format: numeric

Notes: UNF:6:l55NVez/ugRXVU11/z9Paw==

How many of these men <font color = #00ffbf>{#G.G01#}</font> have/had returned h

f6058195 Location:

Summary Statistics: Min. 0.0; Valid 16.0; StDev 0.75; Mean 0.8125; Max. 2.0

Variable Format: numeric

Notes: UNF:6:pDOjxrY48TUJb9ofonsEDw==

How many men who have returned home due to the COVID-19 epidemic (Y reported las

f6058195 Location:

Summary Statistics: Valid 16.0; Mean 0.4375; Max. 2.0; Min. 0.0; StDev 0.7274384280931732;

Variable Format: numeric

Notes: UNF:6:d74v9+g/EcoTCgEwFEo7LA==

In previous survey conducted in July, you reported that X number of women have m

f6058195 Location:

Summary Statistics: StDev 1.25; Min. 0.0; Max. 4.0; Mean 0.6875; Valid 16.0

Variable Format: numeric

Notes: UNF:6:4XjaMrieiyteyaGJEmLtfA==

How many of these women <font color = #00ffbf>{#G.G04#}</font> have/had returned

f6058195 Location:

Summary Statistics: StDev 1.2110601416389966; Min. 0.0; Max. 4.0; Valid 16.0; Mean 0.5

Variable Format: numeric

Notes: UNF:6:1AlQpTYwCd70q4Cs489Vlw==

How many women who have returned home due to the COVID-19 epidemic (Y reported l

f6058195 Location:

Summary Statistics: Mean 0.5; Min. 0.0; StDev 1.2110601416389966; Max. 4.0; Valid 16.0

Variable Format: numeric

Notes: UNF:6:1AlQpTYwCd70q4Cs489Vlw==

Are those members who have not returned sending money back to your household?

f6058195 Location:

Value

Label

Frequency

Text

1.

No

11

2.

Yes

4

3.

Don���t know

1

Summary Statistics: Min. 1.0; Max. 3.0; StDev 0.6191391873668903; Mean 1.375; Valid 16.0

Variable Format: numeric

Notes: UNF:6:ZM2mioSDcL4r5s/VNu7zWQ==

Are those members who had returned but now migrated back for work (in the last 2

f6058195 Location:

Value

Label

Frequency

Text

2.

Yes

0

1.

No

3

3.

Don���t know

0

Summary Statistics: Max. 1.0; Mean 1.0; Min. 1.0; Valid 3.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:pKFcDZrgVcpks8/1A1zrrw==

Those who have stayed back at home (returned due to COVID-19 and not gone back f

f6058195 Location:

Value

Label

Frequency

Text

5.

Fear of COVID-19

0

6.

Have been employed locally

0

7.

Lack of transportation/transport routes closed

0

1.

Company not operating currently

1

2.

No jobs/difficulty in finding new jobs

5

9.

Don���t know

7

3.

Will go back later

2

8.

Others, specify

1

4.

Employer has not called them back yet

0

Summary Statistics: Mean 5.5; StDev 3.521363372331802; Valid 16.0; Max. 9.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:2RLuPHTS+/eRSeSQLqRBkA==

@Others, specify : Those who have stayed back at home (returned due to COVID-19

f6058195 Location:

Variable Format: character

Notes: UNF:6:N9wfjEKeTIYiwtWoDfPM4Q==

Has any other household member migrated for work for the first time after the la

f6058195 Location:

Value

Label

Frequency

Text

3.

Don���t know

2

4.

Refused

0

1.

No

14

2.

Yes

0

Summary Statistics: Min. 1.0; StDev 0.6831300510639732; Max. 3.0; Valid 16.0; Mean 1.25

Variable Format: numeric

Notes: UNF:6:U/YsRaijzMevCWAXZvocHg==

How many of these newly migrated members (May - June) are men?

f6058195 Location:

Summary Statistics: Mean 0.4; Max. 2.0; Valid 5.0; Min. 0.0; StDev 0.8944271909999161

Variable Format: numeric

Notes: UNF:6:xLyN8VKjFFPJnLBw7oB83w==

How many of these newly migrated members (May - June) are women?

f6058195 Location:

Summary Statistics: Valid 5.0; Max. 0.0; Min. 0.0; Mean 0.0; StDev 0.0

Variable Format: numeric

Notes: UNF:6:DwV/e+SlfbpvglSJMojJrQ==

Are these newly migrated members sending money back to your household (in the la

f6058195 Location:

Value

Label

Frequency

Text

3.

Don���t know

2

2.

Yes

0

4.

Refused

0

1.

No

14

Summary Statistics: Valid 16.0; Min. 1.0; Mean 1.25; Max. 3.0; StDev 0.6831300510639732

Variable Format: numeric

Notes: UNF:6:ohrlRRaN14jamBBBTYjgnQ==

<font color=#00ff80><h2>Thank you very much for participating. Would y

f6058195 Location:

Value

Label

Frequency

Text

2.

No

23

1.

Yes

474

Summary Statistics: Min. 1.0; Mean 1.046277665995976; Max. 2.0; Valid 497.0; StDev 0.2102974740334851

Variable Format: numeric

Notes: UNF:6:eR4xw/ILzpZ6kfXsU0cV3w==

Other Study-Related Materials

Label:

Nigeria_COVID19_R5_questionnaire.pdf

Notes:

application/pdf