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Feed the Future Tanzania Mboga na Matunda Producer Survey 2018 - Module H Loan Information

  • development
  • feedthefuture
  • gender
  • horticulture
  • nutrition
  • And 4 more...

Feed the Future Tanzania Mboga na Matunda Producer Survey 2018 - Module H Loan Information

This dataset contains information on the value of loans accessed by producer beneficiaries included in the FY 18 producer survey.

This dataset is Module H of a data asset that contains data from the beneficiary based fiscal year 2018 annual results survey of smallholder producers assisted by the Feed the Future Tanzania - Mboga na Matunda Project. The project works to improve the livelihoods of horticultural farmers in the regions of Iringa, Morogoro, Songwe, Mbeya, and Zanzibar, and strengthen the market system throughout the ZOI. The survey sample was developed using a two-staged cluster design. In the first stage, 77 villages were selected for inclusion in the survey using the method of probability proportional to size based on beneficiary population data as recorded in FTFT-MnM's client database. In the second stage, 12 respondents were selected from each village. In total, 932 respondents were surveyed. The data is split into modules. Module A captures basic demographic data and landholdings. Module B captures information on the household members. Module C captures information on the dietary diversity of female household members. Modules D, E, F, G capture data on production of horticultural produce and associated costs, as well as information on sales. Module H captures information on access to finance.

Columns

NameSocrata field nameColumn name in sgr mountData typeDescription
loan_issuerloan_issuerloan_issuerText
IDididNumber
value_equipmentvalue_equipmentvalue_equipmentNumber
value_transportationvalue_transportationvalue_transportationNumber
value_fixed_assetsvalue_fixed_assetsvalue_fixed_assetsNumber
number_of_months_in_arrearsnumber_of_months_in_arrearsnumber_of_months_in_arrearsNumber
loan_conditionsloan_conditionsloan_conditionsText
days_since_loan_issuedays_since_loan_issuedays_since_loan_issueNumber
dataset_h_iddataset_h_iddataset_h_idNumber
value_landvalue_landvalue_landNumber
value_housingvalue_housingvalue_housingNumber
value_othervalue_othervalue_otherNumber
interest_rateinterest_rateinterest_rateNumber
interest_rate_periodinterest_rate_periodinterest_rate_periodText
period_of_loanperiod_of_loanperiod_of_loanNumber
has_loan_been_paidhas_loan_been_paidhas_loan_been_paidCheckbox
has_loan_gone_into_arrearshas_loan_gone_into_arrearshas_loan_gone_into_arrearsCheckbox
value_infrastructurevalue_infrastructurevalue_infrastructureNumber
value_input_inkindvalue_input_inkindvalue_input_inkindNumber
value_inputvalue_inputvalue_inputNumber
value_working_capitalvalue_working_capitalvalue_working_capitalNumber
loan_useloan_useloan_useText
amount_of_loanamount_of_loanamount_of_loanNumber
sex_individual_received_loansex_individual_received_loansex_individual_received_loanText

Upstream Metadata