Uttar Pradesh
Expenditure Trends in Uttar Pradesh
- 11 Dec 2025
- 3 min read
Why in News?
The Union Ministry of Statistics and Programme Implementation conducted a Monthly Per Capita Consumption Expenditure (MPCE) survey for Uttar Pradesh for the year 2022-23.
Key Points
- Top Urban Expenditure: Gautam Buddha Nagar (GB Nagar), home to Noida and Greater Noida, emerged as the biggest spender among urban areas, with an average MPCE of Rs 9,705.
- Surprise Runner-Up: Gonda, an eastern Uttar Pradesh district located 100 km from Lucknow, finished second with an MPCE of Rs 8,122, surprising other major cities.
- Other Top Cities: Baghpat, Lucknow, and Muzaffarnagar followed in the rankings with MPCEs of Rs 6,995, Rs 6,622, and Rs 6,081, respectively.
- Rural Expenditure: In rural areas, Shravasti, one of the state's eight aspirational districts, emerged on top with an MPCE of Rs 4,462, surpassing even the urban expenditure of GB Nagar.
- Urban-Rural Comparison: While urban populations generally had higher expenditures, districts like Shravasti, Amroha, and Ballia showed higher rural spending than urban areas.
- Lowest Spending Areas: Ballia had the lowest urban MPCE at Rs 2,581, while its rural population spent Rs 2,753. Sonbhadra had the lowest rural MPCE at Rs 2,357.
- Regional Differences: Western Uttar Pradesh districts showed higher spending compared to their eastern counterparts, highlighting significant regional economic disparities in the state.
- Overall Spending: The average monthly spending in urban areas of Uttar Pradesh was Rs 4,418, while in rural areas it was Rs 3,246, with both showing a rising trend, although the overall expenditure remains below the national average.
Monthly Per Capita Consumption Expenditure (MPCE) Survey
- Survey Year: The survey, conducted for the year 2022-23, focuses on household consumption expenditures in Uttar Pradesh and is released annually.
- Methodology: Experts used small area estimation methods, specifically the Fay-Herriot model, to analyze data from 75 districts, adjusting for varying economic conditions.
- Purpose: The modelling technique aimed to neutralize common variables and understand the comparative level of development across districts, helping in efficient planning for both state and national governments.
- Focus Areas: The survey primarily focused on four key expenditure categories: food items, consumables, durable goods, and demographic particulars.
