Russian Federation - Retail Sales

Russian Federation: Retail Sales

Mnemonic WRT.IRUS
Unit Bil. RUR, NSA
Adjustments Not Seasonally Adjusted
Monthly 1.57 %
Data Jun 2019 2,731
May 2019 2,688

Series Information

Source Federal State Statistics Service (Rosstat)
Release Retail Trade
Frequency Monthly
Start Date 1/31/2000
End Date 6/30/2019

Russian Federation: Consumer

Reference Last Previous Units Frequency
Consumer Confidence 2019 Q2 -15 -16 Balance of Opinion, NSA Quarterly
Real Retail Sales Jun 2019 265.52 261.34 Jan. 2001 = 100, NSA Monthly
Retail Sales Jun 2019 2,731 2,688 Bil. RUR, NSA Monthly
Personal Income 2018 Q3 31,986 32,357 RUB, NSA Quarterly

Release Information

Retail trade turnover - a return from goods sold to population for own consumption or for use in households and paid by cash or credit cards, by bank cheques, from bank accounts of individuals by bank transfer or by payment cards. The cost (value) of goods sold to selected categories of population with discount on credit is included in the retail trade turnover at nominal prices (excluding discount).

Retail trade turnover data include the cost of goods sold to population by organisations for which retail trade is the main kind of their activity, by organisations of other sectors of the economy, if they sell to population goods purchased outside or of own production over trade establishments which are included in their financial balance or with payments made over pay-desk. Retail trade turnover also includes the value of goods sold by individual entrepreneurs and individuals (physical persons) in retail markets and fairs.

Retail trade turnover is formed on the basis of the complete statistical survey on large and medium organisations. This survey is conducted monthly. Also the quarterly sample survey on small businesses, commodity, mixed and food markets and fairs, as well as the sample survey on individual entrepreneurs engaged in retail trade are conducted. Data collected while these surveys mentioned above are grossing up on the general population of units under observations.

Data is subject to revisions.