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smainye
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mpesa-loan-repayment-profiles

adaption_prompt stringlengths 470 499	adaption_completion stringclasses 2 values	enhanced_prompt stringlengths 465 1.18k	enhanced_completion stringlengths 6 15.9k	user_id stringlengths 10 10
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 202 transactions across 31 active days, with a median send amount of KES 758. Their weekly transaction pattern has a coefficient of variation of 0.39, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the following M-Pesa profile for an informal trader in Kenya's Jua Kali sector (Micro and Small Enterprises): - Transaction Volume: 202 transactions over 31 active days in the last 30 days. - Send Behavior: Median send amount of KES 758. - Income Stability: Weekly transaction Coefficient of Variati...	### Financial Health Assessment \| Indicator \| Observation \| Interpretation \| \| :--- \| :--- \| :--- \| \| Transaction Volume \| 202 transactions over 31 active days (≈6.5/day). \| High frequency confirms an active business with consistent operational velocity. \| \| Median Send Amount \| KES 758. \| Indicates a high-vol...	user_01217
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 200 transactions across 31 active days, with a median send amount of KES 800. Their weekly transaction pattern has a coefficient of variation of 0.49, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the following financial profile of an informal trader in the Jua Kali sector (Kenya's informal economy characterized by small-scale manufacturing and services) based on their M-Pesa (mobile money service) activity over the last 30 days: - Transaction Volume: 200 transactions across 31 active days. - **Send...	### Financial Profile Assessment: Informal Sector Trader (30-Day Analysis) 1. Metric Analysis & Credit Implications \| Metric \| Observation \| Implication for Credit Risk \| \| :--- \| :--- \| :--- \| \| Transaction Volume \| 200 transactions over 31 active days (~6.5 daily). \| Positive. High velocity indicates ac...	user_02380
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 174 transactions across 31 active days, with a median send amount of KES 900. Their weekly transaction pattern has a coefficient of variation of 0.38, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the following M-Pesa user profile: an informal trader in the Jua Kali sector (Kenya's micro and small enterprise industry). Over the past 30 days, the user completed 174 transactions across 31 active days, with a median send amount of KES 900. Key metrics include: - Income Stability: Weekly transaction coe...	### Financial Behavior Overview (30‑day window) \| Metric \| Value \| Interpretation \| \|--------\|-------\|-----------------\| \| Active days \| 31 \| High engagement; the account is operational daily. \| \| Total transactions \| 174 \| Frequency of ≈ 5.6 transactions/day indicates consistent usage. \| \| Median send amount \| KES 90...	user_03179
This M-Pesa user is a household dependent on remittance income. Over the past 30 days they made 56 transactions across 27 active days, with a median send amount of KES 1012. Their weekly transaction pattern has a coefficient of variation of 0.49, indicating stable income. Net cash flow in the last 30 days is positive. ...	defaulted	Analyze the following M-Pesa user profile, a household dependent on remittance income: - Transaction Volume: 56 transactions over 27 active days in the last 30 days. - Send Behavior: Median send amount of KES 1,012. - Income Stability: Weekly transaction pattern shows a Coefficient of Variation (CV) of 0.4...	### Financial Health and Reliability Assessment Executive Summary The subject profile demonstrates a robust financial posture characterized by high income predictability and positive solvency. Despite being a remittance-dependent household, the inflow patterns mimic formal employment salary cycles, significantly m...	user_04583
This M-Pesa user is a boda boda motorcycle taxi operator. Over the past 30 days they made 252 transactions across 31 active days, with a median send amount of KES 455. Their weekly transaction pattern has a coefficient of variation of 0.48, indicating stable income. Net cash flow in the last 30 days is negative. The us...	defaulted	Analyze the following M-Pesa profile for a boda boda (motorcycle taxi) operator: - Activity: 252 transactions over 31 active days in the last 30 days. - Financials: Median send amount of KES 455; net cash flow is negative. - Income Stability: Weekly transaction coefficient of variation (a measure of income...	Income Reliability: High The profile demonstrates robust operational continuity, with 252 transactions across 31 active days averaging 8.1 transactions daily. A weekly transaction coefficient of variation of 0.48 and a maximum income gap of only three days signal above-average income stability for the informal sect...	user_03507
This M-Pesa user is a household dependent on remittance income. Over the past 30 days they made 53 transactions across 26 active days, with a median send amount of KES 1200. Their weekly transaction pattern has a coefficient of variation of 0.54, indicating stable income. Net cash flow in the last 30 days is negative. ...	repaid	Analyze the following M-Pesa user profile, a household dependent on remittance income: - Transaction Volume: 53 transactions across 26 active days in the last 30 days. - Send Behavior: Median send amount of KES 1,200. - Income Stability: Weekly transaction pattern shows a Coefficient of Variation (CV) of 0...	### Financial Health and Liquidity Risk Assessment Key Metrics (Last 30 Days) * Transaction Activity: 53 transactions across 26 active days (≈ 2 transactions per active day). * Send Behavior: Median send amount of KES 1,200. * Income Regularity: Weekly CV of 0.54; longest gap without receipt: 4 d...	user_04371
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 115 transactions across 30 active days, with a median send amount of KES 1897. Their weekly transaction pattern has a coefficient of variation of 0.50, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the following profile of an urban salaried M-Pesa user with regular formal income: Transaction Metrics (Last 30 Days): * Activity: 115 transactions across 30 active days. * Send Amount: Median of KES 1,897. * Income Stability: Weekly transaction pattern Coefficient of Variation (CV) of 0....	Financial Behavior Appraisal \| Dimension \| Observation \| Interpretation \| \| :--- \| :--- \| :--- \| \| Transaction Velocity \| 115 transactions over 30 active days (≈ 3.8 tx/day). \| Exceptionally high frequency indicates the account functions as a transactional conduit rather than a store of value. Funds are immedi...	user_04550
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 38 transactions across 23 active days, with a median send amount of KES 577. Their weekly transaction pattern has a coefficient of variation of 0.53, indicating stable income. Net cash flow in the last 30 days is negative. The user has a sa...	defaulted	Analyze the financial profile of a rural smallholder farmer using M-Pesa (a mobile money service) based on the following 30-day data: - Transaction Activity: 38 transactions across 23 active days; median send amount is KES 577. - Income Stability: Weekly transaction coefficient of variation (a measure of relat...	Financial Profile Synthesis (30‑day window) \| Metric \| Observation \| Implication \| \|--------\|-------------\|-------------\| \| Transaction volume \| 38 transactions over 30 days; activity on 23 days (≈ 77 % of days). Average ≈ 1.27 transactions/day, ≈ 1.65 transactions on active days. \| The farmer is regularly u...	user_04152
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 138 transactions across 31 active days, with a median send amount of KES 1810. Their weekly transaction pattern has a coefficient of variation of 0.40, indicating stable income. Net cash flow in the last 30 days is ...	repaid	This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 138 transactions across 31 active days, with a median send amount of KES 1810. Their weekly transaction pattern has a coefficient of variation of 0.40, indicating stable income. Net cash flow in the last 30 days is ...	User Profile Summary (30-Day Window) \| Metric \| Value \| Interpretation \| \| :--- \| :--- \| :--- \| \| Active Days \| 31 \| Continuous financial engagement without dormancy. \| \| Total Transactions \| 138 \| High velocity (~4.5 transactions/day); indicates active liquidity management. \| \| Median Send Amount \| ...	user_00385
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 147 transactions across 31 active days, with a median send amount of KES 1800. Their weekly transaction pattern has a coefficient of variation of 0.50, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the financial behavior of an urban salaried M-Pesa user based on the following 30-day metrics: User Profile & Income Stability - Identity: Urban worker with regular formal income and salary-like periodic inflows. - Activity: 147 transactions across 31 active days; median send amount is KES 1,800. -...	The subject presents a structural cash flow deficit characterized by consumption smoothing failure. Despite verified income stability indicated by a weekly coefficient of variation (CV) of 0.50, the negative net cash flow confirms that the expenditure burn rate exceeds regular earnings. This divergence suggests the use...	user_02906
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 188 transactions across 31 active days, with a median send amount of KES 800. Their weekly transaction pattern has a coefficient of variation of 0.44, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the financial profile of an informal trader in Kenya's Jua Kali sector (Micro and Small Enterprises) based on the following 30-day M-Pesa data: - Activity Volume: 188 transactions across 31 active days. - Transaction Value: Median send amount of KES 800. - Income Stability: Weekly transaction patte...	### Financial Profile Assessment: Jua Kali Micro-Enterprise Executive Summary The subject presents a dichotomous financial profile characterized by strong operational stability metrics that are fundamentally undermined by negative net cash flow. While transaction frequency and income regularity suggest a mature bu...	user_00067
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 122 transactions across 29 active days, with a median send amount of KES 1735. Their weekly transaction pattern has a coefficient of variation of 0.40, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the following M-Pesa user profile: an urban salaried worker with regular formal income. Over the past 30 days, the user executed 122 transactions across 29 active days, with a median send amount of KES 1,735. Key metrics include: - Income Stability: Weekly transaction coefficient of variation (CV) is 0.40,...	### Financial Behavior and Creditworthiness Assessment 1. Income Stability and Verification The transactional data confirms the profile of a formal sector employee. The weekly transaction coefficient of variation (CV) of 0.40 indicates low volatility, falling well below the 0.50 threshold typically associated with...	user_02463
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 43 transactions across 23 active days, with a median send amount of KES 500. Their weekly transaction pattern has a coefficient of variation of 0.66, indicating stable income. Net cash flow in the last 30 days is positive. The user has a sa...	repaid	Analyze the following financial profile of a rural smallholder farmer using M-Pesa (a mobile money service): - Transaction Volume: 43 transactions over 23 active days in the last 30 days. - Transfer Size: Median send amount of KES 500. - Income Stability: Weekly transaction pattern shows a Coefficient of V...	### Financial Behavior and Creditworthiness Assessment Executive Summary The user presents a profile of a financially active rural agent with diversified income streams and a lower risk profile than the typical subsistence smallholder baseline. High transaction velocity (43 transactions over 23 active days) combin...	user_03606
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 45 transactions across 23 active days, with a median send amount of KES 454. Their weekly transaction pattern has a coefficient of variation of 0.58, indicating stable income. Net cash flow in the last 30 days is negative. The user has a sa...	repaid	Analyze the financial profile of a rural smallholder farmer using M-Pesa (a mobile money service) based on the following 30-day data: - Transaction Activity: 45 transactions occurred across 23 active days. - Transfer Values: The median send amount was KES 454. - Income Stability: A weekly transaction coeff...	### Financial Profile Assessment: Rural Smallholder M-Pesa User (30-Day Horizon) Executive Summary The subject exhibits a dichotomous financial profile characterized by high-frequency transactional engagement and statistically stable income periodicity, juxtaposed against a structural liquidity deficit. While the ...	user_04212
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 120 transactions across 31 active days, with a median send amount of KES 1900. Their weekly transaction pattern has a coefficient of variation of 0.44, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the following M-Pesa user profile: an urban salaried worker with regular formal income. Over the past 30 days, the user executed 120 transactions across 31 active days, with a median send amount of KES 1,900. Key metrics include: - Income Stability: Weekly transaction coefficient of variation (CV) is 0.44,...	### Financial Health Assessment The user profile presents a critical dissonance between income reliability and liquidity management. While the weekly transaction coefficient of variation (CV) of 0.44 confirms stable, salary-like inflow patterns, the negative net cash flow over 30 days indicates a structural deficit. T...	user_00554
This M-Pesa user is a boda boda motorcycle taxi operator. Over the past 30 days they made 298 transactions across 31 active days, with a median send amount of KES 495. Their weekly transaction pattern has a coefficient of variation of 0.36, indicating stable income. Net cash flow in the last 30 days is negative. The us...	defaulted	Analyze the following M-Pesa user profile: a boda boda (motorcycle taxi) operator with 298 transactions over 31 active days in the last 30 days. Key metrics include a median send amount of KES 495, a weekly transaction coefficient of variation (CV) of 0.36 (indicating stable income), and a negative net cash flow. The u...	The profile demonstrates high transactional velocity with 298 interactions across 31 active days, indicating consistent platform engagement typical of active gig economy participation. The weekly transaction coefficient of variation (CV) of 0.36 reflects exceptional income stability for the informal sector, corroborate...	user_03144
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 48 transactions across 24 active days, with a median send amount of KES 475. Their weekly transaction pattern has a coefficient of variation of 0.33, indicating stable income. Net cash flow in the last 30 days is positive. The user has a sa...	repaid	Analyze the following financial profile of a rural smallholder farmer using M-Pesa (a Kenyan mobile money service): - Transaction Volume: 48 transactions over 24 active days in the last 30 days. - Spending Pattern: Median send amount of KES 475. - Income Stability: Weekly transaction coefficient of variati...	### Financial Profile Assessment: Rural Smallholder Farmer 1. Income Stability and Cash Flow Dynamics The user exhibits a robust financial profile characterized by low volatility and consistent inflows. A weekly transaction coefficient of variation (CV) of 0.33 indicates minimal income fluctuation relative to the ...	user_03658
This M-Pesa user is a household dependent on remittance income. Over the past 30 days they made 54 transactions across 25 active days, with a median send amount of KES 924. Their weekly transaction pattern has a coefficient of variation of 0.34, indicating stable income. Net cash flow in the last 30 days is positive. T...	repaid	Analyze the following M-Pesa user profile, defined as a household dependent on remittance income: - Transaction Volume: 54 transactions across 25 active days in the last 30 days. - Send Behavior: Median send amount of KES 924. - Income Stability: Weekly transaction pattern shows a Coefficient of Variation ...	### Financial Health and Reliability Assessment: Remittance-Dependent Household 1. Liquidity and Cash Flow Dynamics The subject exhibits a robust liquidity profile characterized by a positive net cash flow over the 30-day observation window. The identification of a "salary-like periodic inflow" suggests a structur...	user_02904
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 139 transactions across 30 active days, with a median send amount of KES 1847. Their weekly transaction pattern has a coefficient of variation of 0.46, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the following M-Pesa user profile (an urban salaried worker with formal income) based on these 30-day metrics: - Transaction Volume: 139 transactions across 30 active days. - Spending Pattern: Median send amount of KES 1,847; weekly transaction coefficient of variation (a measure of income stability) i...	The profile indicates compromised financial health driven by structural liquidity risk. Despite the formal income classification and regular inflow intervals (maximum 5-day gap), the negative net cash flow signifies sustained dissaving, where outflows systematically exceed inflows. Transactional velocity is high at app...	user_01294
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 103 transactions across 28 active days, with a median send amount of KES 1896. Their weekly transaction pattern has a coefficient of variation of 0.47, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the financial profile of an urban salaried M-Pesa user based on the following 30-day data: User Profile & Income Stability * Activity: 103 transactions across 28 active days. * Income Pattern: Regular, salary-like periodic inflows with a stable weekly transaction coefficient of variation (CV) o...	Financial Profile Analysis: Urban Salaried M-Pesa User 1. Operational Velocity and Wallet Utility The user demonstrates high wallet dependency, executing 103 transactions across 28 active days—a 93.3% daily engagement rate. This intensity indicates that the mobile wallet functions as the primary operational le...	user_04008
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 112 transactions across 28 active days, with a median send amount of KES 2000. Their weekly transaction pattern has a coefficient of variation of 0.48, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the following profile of an urban, salaried M-Pesa user with regular formal income: - Transaction Volume: 112 transactions across 28 active days in the last 30 days. - Sending Behavior: Median send amount of KES 2,000. - Income Stability: Weekly transaction coefficient of variation (a measure of re...	The transactional profile indicates a user with verified formal income stability but compromised short-term liquidity. The weekly transaction coefficient of variation (CV) of 0.48, coupled with a maximum receivable gap of six days, confirms a consistent inflow pattern characteristic of salaried employment. However, the...	user_03469
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 142 transactions across 31 active days, with a median send amount of KES 1887. Their weekly transaction pattern has a coefficient of variation of 0.37, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the following M-Pesa user profile (an urban salaried worker with formal income) to assess financial stability and cash flow health: Transaction Metrics (Last 30 Days): * Volume: 142 transactions across 31 active days. * Median Send Amount: KES 1,887. * Income Stability: Weekly transaction...	### Income Stability vs. Liquidity Position Analysis 1. Income Regularity Assessment The weekly transaction Coefficient of Variation (CV) of 0.37 confirms low volatility in inflow timing and magnitude. In the context of formal employment income streams, this metric validates the classification of the user as a sal...	user_03768
This M-Pesa user is a boda boda motorcycle taxi operator. Over the past 30 days they made 256 transactions across 31 active days, with a median send amount of KES 471. Their weekly transaction pattern has a coefficient of variation of 0.47, indicating stable income. Net cash flow in the last 30 days is negative. The us...	repaid	Analyze the following M-Pesa profile for a boda boda (motorcycle taxi) operator to assess their financial stability and cash flow health: - Transaction Volume: 256 transactions over 31 active days in the last 30 days. - Spending Pattern: Median send amount of KES 471. - Income Stability: Weekly transaction...	The profile exhibits a liquidity paradox characterized by robust income stability contra negative net cash flow. Income Consistency: Revenue stability is high, evidenced by a weekly transaction coefficient of variation of 0.47 and salary-like periodic inflows. With 256 transactions over 31 active days and a maximu...	user_01003
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 164 transactions across 31 active days, with a median send amount of KES 948. Their weekly transaction pattern has a coefficient of variation of 0.38, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the financial profile of an informal trader in Kenya's Jua Kali sector (Micro and Small Enterprises) based on the following 30-day M-Pesa data: - Transaction Volume: 164 transactions across 31 active days. - Spending Pattern: Median send amount of KES 948. - Income Stability: Weekly transaction Coe...	### Financial Profile Assessment: Jua Kali Micro-Enterprise Executive Summary The subject exhibits a high-frequency transactional profile characteristic of an active micro-enterprise. While income stability and transaction continuity are strong indicators of operational consistency, the net negative cash flow posi...	user_01621
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 177 transactions across 31 active days, with a median send amount of KES 862. Their weekly transaction pattern has a coefficient of variation of 0.47, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the following financial profile of an informal trader in Kenya's Jua Kali (informal artisanal) and MSE (Micro and Small Enterprise) sectors: - Transaction Volume: 177 transactions over 31 active days in the last 30 days. - Spending Pattern: Median send amount of KES 862. - Income Stability: Weekly ...	### Financial Health and Credit Risk Assessment 1. Operational Activity and Liquidity Velocity The profile exhibits high operational intensity, with 177 transactions over 31 active days yielding an average velocity of approximately 5.7 transactions per day. This frequency is characteristic of an active retail or s...	user_04668
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 43 transactions across 24 active days, with a median send amount of KES 566. Their weekly transaction pattern has a coefficient of variation of 0.68, indicating stable income. Net cash flow in the last 30 days is negative. The user has a sa...	repaid	Analyze the financial profile of a rural smallholder farmer using M-Pesa (a mobile money service) based on the following 30-day data: - Transaction Activity: 43 transactions occurred across 24 active days. - Transfer Value: The median send amount was KES 566. - Income Stability: A weekly transaction coeffi...	### Financial Health and Liquidity Risk Assessment Executive Summary The subject's transactional profile presents a dichotomy between structural income stability and acute short-term liquidity stress. While the periodicity of inflows and low weekly volatility suggest a reliable revenue stream—likely tied to formal...	user_03180
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 54 transactions across 24 active days, with a median send amount of KES 500. Their weekly transaction pattern has a coefficient of variation of 0.38, indicating stable income. Net cash flow in the last 30 days is negative. The user has a sa...	repaid	Analyze the financial profile of a rural smallholder farmer using M-Pesa (a mobile money service) based on the following 30-day data: - Transaction Volume: 54 transactions across 24 active days. - Transfer Size: Median send amount of KES 500 (Kenyan Shillings). - Income Stability: Weekly transaction patter...	### Financial Profile Assessment: Rural Smallholder M-Pesa User 1. Transaction Velocity and Platform Engagement The subject demonstrates high platform engagement, executing 54 transactions over 24 active days. This yields an activity rate of 2.25 transactions per active day, indicating that mobile money functions ...	user_04686
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 39 transactions across 25 active days, with a median send amount of KES 520. Their weekly transaction pattern has a coefficient of variation of 0.44, indicating stable income. Net cash flow in the last 30 days is positive. The user has a sa...	defaulted	Analyze the following financial profile of a rural smallholder farmer using M-Pesa (a mobile money service): - Activity Level: 39 transactions over 25 active days in the last 30 days. - Transaction Value: Median send amount of KES 520. - Income Stability: Weekly transaction pattern shows a Coefficient of V...	### Comprehensive Financial Profile Assessment 1. Metric Analysis The following table synthesizes the user's key performance indicators against standard risk benchmarks for rural smallholder profiles. \| Dimension \| Observed Metric \| Interpretation \| Credit Implication \| \| :--- \| :--- \| :--- \| :--- \| \| **Engagemen...	user_01725
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 179 transactions across 31 active days, with a median send amount of KES 852. Their weekly transaction pattern has a coefficient of variation of 0.45, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the following M-Pesa profile for an informal trader in the Jua Kali (informal artisan) and MSE (Micro and Small Enterprise) sector: - Activity: 179 transactions over 31 active days in the last 30 days; median send amount is KES 852. - Stability: Weekly transaction coefficient of variation (a measure of...	Financial Health and Creditworthiness Assessment Operational Activity and Stability The profile demonstrates robust operational engagement, averaging approximately 5.8 transactions per day. The median send amount of KES 852 indicates a high-frequency, low-margin business model typical of the Jua Kali sector. I...	user_02168
This M-Pesa user is a boda boda motorcycle taxi operator. Over the past 30 days they made 264 transactions across 31 active days, with a median send amount of KES 450. Their weekly transaction pattern has a coefficient of variation of 0.45, indicating stable income. Net cash flow in the last 30 days is negative. The us...	repaid	Analyze the following M-Pesa profile for a boda boda (motorcycle taxi) operator: - Activity: 264 transactions over 31 active days in the last 30 days. - Value: Median send amount of KES 450. - Stability: Weekly transaction coefficient of variation (a measure of income volatility) is 0.45, indicating stable...	Financial Assessment – Boda‑bodaOperator (M‑Pesa Profile) \| Metric \| Observation \| Interpretation \| \|--------\|-------------\|----------------\| \| Transaction volume \| 264 transactions over 31 active days (≈ 8.5 transactions / day) \| Very high activity – consistent cash‑inflow from fares. \| \| **Median transacti...	user_04601
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 127 transactions across 31 active days, with a median send amount of KES 2000. Their weekly transaction pattern has a coefficient of variation of 0.39, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the financial profile of an urban salaried M-Pesa user based on the following 30-day data: - Transaction Volume: 127 transactions across 31 active days. - Spending Pattern: Median send amount of KES 2,000. - Income Stability: Weekly transaction coefficient of variation (a statistical measure of rel...	Financial Profile Synopsis – Urban Salaried M-Pesa User (30-day window) \| Metric \| Observation \| Implication \| \|--------\|------------\|-------------\| \| Transaction volume \| 127 transactions over 31 active days (≈ 4.1 transactions/day) \| High engagement indicates the wallet functions as a primary operating accou...	user_03061
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 172 transactions across 31 active days, with a median send amount of KES 848. Their weekly transaction pattern has a coefficient of variation of 0.45, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the following profile of an informal trader in the Jua Kali sector (Kenya's informal economy) using their M-Pesa (mobile money service) data from the last 30 days: - Activity Volume: 172 transactions across 31 active days. - Transaction Size: Median send amount of KES 848. - Income Stability: Weekl...	Operational Velocity and Revenue Stability The trader demonstrates high operational engagement, averaging approximately 5.5 transactions daily. The coefficient of variation (0.45) indicates revenue streams are significantly more stable than typical Jua Kali enterprises, which often face high volatility. The "salary...	user_00356
This M-Pesa user is an urban salaried worker with regular formal income. Over the past 30 days they made 122 transactions across 30 active days, with a median send amount of KES 1897. Their weekly transaction pattern has a coefficient of variation of 0.45, indicating stable income. Net cash flow in the last 30 days is ...	repaid	Analyze the financial profile of an urban salaried M-Pesa user based on the following 30-day data: User Profile & Income Stability * Activity: 122 transactions across 30 active days. * Income Pattern: Salary-like periodic inflows with a weekly transaction coefficient of variation (CV) of 0.45, indicati...	### Financial Profile Assessment: Urban Salaried M-Pesa User Executive Summary The user presents a financial profile characterized by a fundamental dichotomy: while income patterns suggest the reliability of a salaried employee, the net cash flow indicates a structural deficit. The data reveals a "pass-through" fi...	user_01002
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 28 transactions across 19 active days, with a median send amount of KES 550. Their weekly transaction pattern has a coefficient of variation of 0.51, indicating stable income. Net cash flow in the last 30 days is negative. The user has a sa...	repaid	Analyze the financial profile of a rural smallholder farmer using M-Pesa (a mobile money service) based on the following 30-day data: - Transaction Activity: 28 transactions occurred across 19 active days. - Transfer Volume: The median send amount was KES 550. - Income Stability: A weekly coefficient of va...	Financial Profile Assessment: Rural Smallholder M-Pesa User (30-Day Window) Transactional Velocity and Engagement The user demonstrates high engagement, with 28 transactions executed across 19 active days (approximately 1.47 transactions per active day). This frequency indicates the mobile wallet functions as ...	user_03062
This M-Pesa user is a household dependent on remittance income. Over the past 30 days they made 66 transactions across 27 active days, with a median send amount of KES 1000. Their weekly transaction pattern has a coefficient of variation of 0.40, indicating stable income. Net cash flow in the last 30 days is positive. ...	repaid	Analyze the following M-Pesa user profile, defined as a household dependent on remittance income: - Transaction Volume: 66 transactions over 27 active days in the last 30 days. - Send Behavior: Median send amount of KES 1,000. - Income Stability: Weekly transaction pattern shows a coefficient of variation ...	### Financial Health and Reliability Assessment: Remittance-Dependent Household Executive Summary The subject profile exhibits characteristics of a financially stable, remittance-dependent household with high liquidity management discipline. The convergence of low income volatility, consistent inflow periodicity, ...	user_01321
This M-Pesa user is an informal trader in the Jua Kali / MSE sector. Over the past 30 days they made 178 transactions across 31 active days, with a median send amount of KES 819. Their weekly transaction pattern has a coefficient of variation of 0.46, indicating stable income. Net cash flow in the last 30 days is negat...	repaid	Analyze the following M-Pesa profile for an informal trader in the Jua Kali sector (Kenya's vibrant informal economy): Over the past 30 days, the user completed 178 transactions across 31 active days, with a median send amount of KES 819. Their weekly transaction pattern shows a coefficient of variation (a statistical ...	The profile exhibits high operational velocity, with 178 transactions over the observation period indicating near-daily market engagement. A median send amount of KES 819 aligns with standard micro-transaction thresholds for routine operational expenditures and inventory procurement. The coefficient of variation of 0.4...	user_04044
This M-Pesa user is a household dependent on remittance income. Over the past 30 days they made 80 transactions across 27 active days, with a median send amount of KES 1000. Their weekly transaction pattern has a coefficient of variation of 0.48, indicating stable income. Net cash flow in the last 30 days is positive. ...	repaid	Analyze the following M-Pesa user profile, defined as a household dependent on remittance income: - Transaction Volume: 80 transactions over 27 active days in the last 30 days. - Send Patterns: Median send amount of KES 1,000; weekly transaction coefficient of variation (a measure of relative variability) is 0...	### Financial Stability and Remittance Dependency Assessment 1. Income Stability and Predictability The user exhibits a high degree of income regularity, characterized by a weekly transaction coefficient of variation (CV) of 0.48. In the context of remittance-dependent households, a CV below 0.5 typically signals ...	user_00216
This M-Pesa user is a rural smallholder farmer. Over the past 30 days they made 40 transactions across 24 active days, with a median send amount of KES 500. Their weekly transaction pattern has a coefficient of variation of 0.56, indicating stable income. Net cash flow in the last 30 days is positive. The user has a sa...	repaid	Analyze the financial profile of a rural smallholder farmer using M-Pesa (a mobile money service) based on the following 30-day data: - Activity Level: 40 transactions across 24 active days. - Transaction Value: Median send amount of KES 500 (Kenyan Shillings). - Income Stability: Weekly transaction patter...	### Financial Profile Assessment Executive Summary The user demonstrates a robust financial profile characterized by high digital engagement and stable, predictable cash flows. The 30-day M-Pesa data indicates a reliable borrower with disciplined liquidity management, distinguishing the profile from typical high-v...	user_00714
This M-Pesa user is a household dependent on remittance income. Over the past 30 days they made 64 transactions across 27 active days, with a median send amount of KES 1062. Their weekly transaction pattern has a coefficient of variation of 0.40, indicating stable income. Net cash flow in the last 30 days is positive. ...	repaid	Analyze the following M-Pesa user profile, defined as a household dependent on remittance income: - Transaction Volume: 64 transactions over 27 active days in the last 30 days. - Send Behavior: Median send amount of KES 1,062. - Income Stability: Weekly transaction pattern shows a Coefficient of Variation ...	### Financial Behavior Assessment: M-Pesa Household Profile 1. Transactional Velocity and Wallet Engagement The user demonstrates high wallet engagement, evidenced by 64 transactions across 27 active days within a 30-day window. This yields an active-day transaction frequency of approximately 2.37 transactions per...	user_02411

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This dataset is a remastered version prepared using Adaption's Adaptive Data platform.

mpesa_loan_repayment_profiles

This dataset contains behavioral profiles of M-Pesa users in Kenya, detailing transaction metrics such as frequency, amounts, and cash flow stability across various user types like farmers and salaried workers. Each sample includes derived features like the coefficient of variation for income stability and the proportion of Paybill or airtime transactions. The target variable indicates whether the user successfully repaid a loan, making this data suitable for credit risk modeling and financial inclusion analysis.