• Energy
  • 22 columns
  • 103 rows
  • 8 formats

Prepaid Metering and Low-Income Customer Programs

This dataset provides comprehensive, real-time information on prepaid electricity accounts, including customer details, consumption patterns, auto-recharge settings, disconnect warnings, and participation in low-income assistance programs. It is ideal for utilities, regulators, and social service agencies seeking to analyze energy usage, monitor program effectiveness, and improve service delivery for vulnerable populations.

  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Monitor and analyze prepaid electricity usage and account balances

Sample rows

preview · 8 of 103 rows · all 22 columns
account_idstringprogram_statusstringcurrent_balancefloatauto_recharge_enabledbooleanprogram_namestringcustomer_idstringcustomer_namestringcustomer_phonestringcustomer_emailstringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringlast_balance_updatedatetimedaily_consumption_kwhfloatauto_recharge_thresholdfloatauto_recharge_amountfloatdisconnect_warning_thresholdfloatdisconnect_warning_sentbooleanlow_income_program_participantbooleanprogram_enrollment_datedate
XG2A79KJLQblank88.45trueblankCUST_1001Olivia Pearson+1-212-684-5123olivia.pearson@gmail.com1003 Lexington AveNew YorkNY10028USA2024-06-12T16:14:1813.5257020falsefalseblank
GEJH5M2RTPNblank0falseblankCUST_1002Anya Kovalev+7-495-776-4333blankUlitsa Tverskaya 15MoscowMoscow125009Russia2024-06-13T08:12:470.2blankblank0truefalseblank
MZB6F8QJKXblank122.75falseblankCUST_1003Samuel Lee+81-3-3512-6610samuel.lee@email.jp3-2-1 MarunouchiTokyoTokyo100-0005Japan2024-06-13T09:45:339.3blankblank15falsefalseblank
LQ1T9F3YV4blank45.2trueblankCUST_1004James Wright+44-20-8194-9980james.wright@btinternet.com22 Church StreetManchesterGreater ManchesterM1 1AAUK2024-06-13T11:34:2210.7208015falsefalseblank
KJ3RT9VQPWblank3000trueblankCUST_1005Priya Singh+91-22-4967-2338priya.singh@email.in7B Marine DriveMumbaiMaharashtra400002India2024-06-13T14:25:1818.610040080falsefalseblank
QW5J8D9PLRblank98.34trueblankCUST_1006Sarah Thompson+61-3-9124-8201sarah.thompson@email.au58 Collins StreetMelbourneVictoria3000Australia2024-06-12T17:56:3912.8309020falsefalseblank
ZDF3B2KLJXblank2100.75trueblankCUST_1007Chinedu Okafor+234-803-123-4567chinedu.okafor@email.ng42 Adeola OdekuLagosLagos101233Nigeria2024-06-13T06:17:1321.412035070falsefalseblank
TY8G1R6HFBactive8.9falseSweden Energy SupportCUST_1008Emma Johansson+46-8-522-4897emma.johansson@email.se13 DrottninggatanStockholmStockholm11151Sweden2024-06-13T10:19:302.5blankblank8truetrue2023-02-13

What the 103 rows show

from the 103-row sample
  • 45%auto_recharge_enabled = true
  • 42.0median current_balance
  • 22address countries
  • 7.7median daily_consumption_kwh
  • 32.5median auto_recharge_threshold
  • 82.5median auto_recharge_amount
program_status30 rows by value
091817active17%6inactive6%7pending7%
current_balance103 rows, in bands of 10k
050100100000000003050k100kcurrent_balance →

Median 42.0, from 0.0 to 100,000.

program_name30 rows with a value · 73 left blank
  1. Sweden Energy Support5
  2. SA Energy Relief5
  3. Sweden Electric Aid4
  4. China Urban Assistance2
  5. Berlin Sozialstrom2
  6. Shanghai Social Tariff2
  7. SA Energy Support2
  8. Bavaria Sozialstrom1
  9. Zimbabwe Energy Relief1
  10. Hamburg Sozialstrom1
22 columns by typefrom the column list below
  • string 12
  • float 5
  • date 1
  • datetime 1
  • boolean 3

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 12 columns
account_idstringUnique identifier for the prepaid electricity accountuniqueXG2A79KJLQ
customer_idstringUnique identifier for the customer associated with the accountCUST_1001
customer_namestringFull name of the customerOlivia Pearson
customer_phonestringCustomer's primary contact phone number+1-212-684-5123
customer_emailstringCustomer's email addressoptionalolivia.pearson@gmail.com
address_streetstringStreet address for the account location1003 Lexington Ave
address_citystringCity for the account locationNew York
address_statestringState or province for the account locationNY
address_postal_codestringPostal or ZIP code for the account location10028
address_countrystringCountry for the account locationUSA
program_namestringName of the low-income assistance program (if applicable)optionalSweden Energy Support
program_statusstringCurrent status of the customer's program participationactive · inactive · pending · terminated · optionalactive
Numbers 5 columns
current_balancefloatCurrent prepaid electricity balance in local currency0 or more88.45
daily_consumption_kwhfloatElectricity consumed in kWh for the most recent day0 or more13.5
auto_recharge_thresholdfloatBalance threshold (in currency) at which auto-recharge triggers0 or more · optional25
auto_recharge_amountfloatAmount (in currency) to recharge when auto-recharge triggers0 or more · optional70
disconnect_warning_thresholdfloatBalance threshold (in currency) at which disconnect warning is sent0 or more20
Dates and times 2 columns
last_balance_updatedatetimeTimestamp of the last balance update2024-06-12T16:14:18
program_enrollment_datedateDate when the customer enrolled in the assistance programoptional2023-02-13
True or false 3 columns
auto_recharge_enabledbooleanIndicates if auto-recharge is enabled for the accounttrue
disconnect_warning_sentbooleanIndicates if a disconnect warning has been sentfalse
low_income_program_participantbooleanIndicates if the customer is enrolled in a low-income assistance programfalse

Use it for

  • auto recharge …45%46 of 103 rowsmean current balance …9.3active5.4inacti…9.0pending

    An energy dashboard

    The auto_recharge_enabled rate, current_balance by program_status and a breakdown of program_name. Excel, Power BI or Tableau.

  • Why do 46 of 103 rows have auto_recharge_enabled = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 103 rows.

  • A software demo

    Believable accounts with customer_id, customer_name and customer_phone to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 22 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset103 rows22 columns
Yours1,000 rows22 columnsaddress_street: UK only

blueprint · prepaid-metering-and-low-income-customer-programs

Behind this dataset

Same schema. As many rows as you need.

These 103 rows came out of a blueprint — 22 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Account balance in dollars, updated in near real-time
  • Daily consumption and projected days until disconnect
  • Auto-recharge threshold and amount if enabled
  • Disconnect warning at low balance threshold (e.g., $5)
  • Payment method: credit card, bank ACH, payment kiosk
  • Low-income program enrollment (LIHEAP, percentage of income payment plan)
  • Disconnect and reconnect remote commands via AMI
  • Customer notification preferences (SMS, email, phone)
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
prepaid-metering-and-low-income-customer-programs

What should your data show?

Preview 20 rows free
No signup. No card.