{"vid":"V919","name":"q4p9a","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_width":"8","labl":"a) Where would you place yourself on this ladder [PRE-COVID before March 2020]?","var_respunit":"Patients with type 2 diabetes being interviewed.","var_qstn_preqtxt":"Section 4: Impact of COVID-19 on income, impoverishment, and availability of food\nSehemu ya 4: Athari za COVID-19 kwa mapato, umaskini, na upatikanaji wa chakula","var_qstn_qstnlit":"Please indicate your  income in the [COVID] periodAmount [IN LOCAL CURRENCY] __________________\/per month  Or ____________ per week Or_____________per day\nTafadhali onyesha mapato yako [KABLA YA COVID] Kiasi [KWA FEDHA YA TAIFA] __________________\/kwa mwezi Au __________ kwa wiki Au ______________ kwa siku","var_qstn_postqtxt":"N\/A","var_qstn_ivulnstr":"N\/A","var_val_range":[{"units":"REAL","min":"1","max":"10"}],"var_universe":"Patients with type 2 diabetes","universe_clusion":"I","var_sumstat":[{"value":"500","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"N\/A","var_catgry":[{"value":"1","labl":null,"stats":"30","type":"freq"},{"value":"2","labl":null,"stats":"18","type":"freq"},{"value":"3","labl":null,"stats":"47","type":"freq"},{"value":"4","labl":null,"stats":"57","type":"freq"},{"value":"5","labl":null,"stats":"140","type":"freq"},{"value":"6","labl":null,"stats":"68","type":"freq"},{"value":"7","labl":null,"stats":"57","type":"freq"},{"value":"8","labl":null,"stats":"33","type":"freq"},{"value":"9","labl":null,"stats":"12","type":"freq"},{"value":"10","labl":null,"stats":"38","type":"freq"}],"var_format":"numeric","var_format_schema":"other","var_notes":"\"a) Where would you place yourself on this ladder [PRE-COVID before March 2020]?\"","fid":"F1","sid":"175","survey_idno":"DDI-KEN-APHRC-GEGO-2021-v1.0"}