This statistic shows the average price of computer and video games (physical and downloads) in Germany from 2009 to 2013, broken down by gaming platform. In 2012, the average computer game cost roughly ***** euros.

Abstract

The Colombo Consumers' Price Index (CCPI) which was introduced in 1952 by the Department of Census and Statistics and which is now published on the last working day of every month is the official index by which changes in price levels of consumer goods and services in Sri Lanka are measured. Since then the index has been used to date for very vital purposes as described below. It is used for multi-purpose functions such as :

                              for conversion of total current values of national income up to fixed values, 
                              policy making on monetary income and wages, 
                              payment of salaries and wages, 
                              providing social security facilities and analysis of economic and social activities. 

Thus the government mechanism and the non-government organizations use this index as the vital official measurement unit in the fields of financial, revenue, salaries, wages and socio-economic policy making.

Geographic coverage

All urban Divisions in Colombo District

Analysis unit

Commodities (in Retail outlets in Colombo City)

Universe

Retail commodity prices of the goods in Colombo MC and suburban areas

Kind of data

Observation data/ratings [obs]

Sampling procedure

The Weekly Test Purchases operation is not a sample survey. But the following points should be noted:-

From each market, about five outlets have been identified for this operation. Out of the five outlets three are visited by the enumeretors regularly. The selected three outlets in each market are usually visited in every price collection day of the week. The fourth & the fifth outlets will be kept as optional in case the regular outlets are not operational due to some reason.

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two types of questionnaires,

  01  A , B , C , D , E - Food Items

  02  Mis01,Mis02,Mis03,Mis04,Mis05,Mis06,Mis07,Mis08 - Non Food Items

General Instructions in filling Forms:

***Group I Form

Price quotations should be collected in few representative and fixed open market retail outlets or stalls in the main marketing area of the Town on morning (9 to 12) of Tuesdays 1st and 3rd week

This price schedule should be perfected and sent by post to the Director Prices and Wages Division in the same week.

***Group II Form

Price quotations required should be obtained once a month from the same outlets, which should be chosen from the selected establishments listed above.

If a particular item is not available in the selected retail outlet, Price quotations may be obtained from the other establishments, whose address should be given. If the item is not available at all in the town, the price of substitute item which resembles most closely the specified item should be priced and brand name, weight should be entered in the form. Brand name and weight of "other" item where it is priced should also be given.

***Group III Form

The item should be selected under specification which has been mentioned here. Two price quotations should be obtained quarterly from the same establishments as far as possible and prices should be collected from the same establishment in future too.

If a particular item is not available in the selected retail outlets, price quotations may be obtained from the reserve or other establishments whose address should be given. If the item is not available at all in the town, the price of a substitute item which resembles most closely the specified item should be entered in the form. Brand name and Weight of "Other" item where it is priced should also be given.

Where transactions take place in other than metric units, the weight of volume of the item priced should be carefully recorded in grams or milli-liters in the space provided.

When you complete item 4 in 1st page of schedule cross-out months except the price collection month.

***Producers' Prices Form

You are instructed to obtain the Producers' prices once a month from selected two main producing centers, and few other production centers are selected for all other agriculture production. The district officer can select the producing centers with the help of the field officer in the respective DS Division. The farm-gate price of every item should be completed in column 4,5,and 6 by the field officer and monthly average prices given in the pricing schedules should be recorded systematically in a price list or in the register maintained in your office.

The average price for three columns (4,5 and 6) should be computed and recorded in the 7th column. If there is noticeable change in average price of column 7 and 8 or if current available price in column 7 is not available. Please give your reasons in column 9. Livestock prices should be collected quarterly and for this purpose the second month of each quarter is more appropriate. (Feb, May, Aug, Nov)

You are advised to collect the prices during the second week of each month and the completed forms should be sent to the Director, Prices and Wages Division by post on or before the given date.

PRODUCERS' PRICE - This is at the farm-gate price or at village market price (pola) charged to customer/buyer. This value figures should include all duties and taxes which fall on products when they leave the farm-gate, but should exclude any subsidies received. This valuation should exclude any transport charges that may be invoiced to the purchaser or user.

Cleaning operations

Usually the prices collected should fall within a range accepted by the Prices and Wages Division staff. If by chance, an abnormally high or a low price have been recorded, that price item will be discarded and not taken for computation purposes.

In a rare situation where the prices of a commodity have not been recorded due to a problem in the market, then the previous day's recording will be assumed for the respective price collection round.

Kenya National Bureau of Statistics Gross Domestic Product Growth Rates at Constant Prices 2002-2009 Statistical Abstract

Romania Real Home Prices: 15 years of historical data from 2009 to 2024.

Source Code: Q:IN:N:628

Coverage includes all types of new and existing dwellings in big cities.

For more information, please see https://www.bis.org/statistics/pp_detailed.htm.

Any use of the series shall be cited as follows: "Sources: National sources, BIS Residential Property Price database, http://www.bis.org/statistics/pp.htm."

Copyright, 2016, Bank for International Settlements (BIS). Terms and conditions of use are available at http://www.bis.org/terms_conditions.htm#Copyright_and_Permissions.

Steel fell to 3,086 CNY/T on July 11, 2025, down 0.61% from the previous day. Over the past month, Steel's price has risen 5.22%, but it is still 6.46% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Steel - values, historical data, forecasts and news - updated on July of 2025.

This statistic displays the annual selling price of raspberries per 100 kilograms in Germany from 2009 to 2018. The price of raspberries peaked in 2017 at ****** euros per 100 kilograms.

The data collection project assessed the economic performance of American Samoa-based longline vessels that made trips in 2009. Operational and vessel costs were collected by personal interviews with vessel owners, captains, and crew. The project estimated the cost-earnings for each individual longline vessel.

Housing Index in Portugal increased to 247.05 points in the first quarter of 2025 from 235.68 points in the fourth quarter of 2024. This dataset provides - Portugal House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Analysis of ‘Property Prices Index By City 2009 to 2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/jolenech/property-prices-index-by-city-2009-to-2021 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

I wanted to see how affordable housing is across countries and wanted to compare the price of housing. But I could not find a properly documented and easily downloaded dataset hence I created one with the help of web-scraping with Python and Pandas.

Content

I spent a lot of time searching for a source for the information I wanted in order to compare affordability. I stumbled upon a great website which was exactly what I was looking for Numbeo The website has a lot of details like affordability index, prime to income ratio, price to rent ratios in and out of city centre and more!

Now I had the data, I needed to download it. Since I couldn't get the raw form of the data, I did web scraping in order to get details in the table for 2009 to 2021 using a for loop to go through all links and create csv files for every year.

What's in the dataset?

Details of columns Note: There are a few null values in the 2009 dataset (mortgage and Affordability Index columns.

Check out the code I used on Github.

Acknowledgements

I couldn't have gotten the data without Numbeo!

Inspiration

I was working on a project trying to see if Price of Housing in Singapore can be justified and wanted more data that's global instead of just from Singapore. Let me know if you have any questions!

--- Original source retains full ownership of the source dataset ---

Context

Data augmentation for housing prices

Content

US Housing Data for 2008-2009 (pre crisis and crisis year) to predict housing prices more accurate

Inspiration

Housing price prediction competition on Kaggle

This dataset is the 2009 United States Energy Prices by Sector and Source, part of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy topics. The Annual Energy Outlook presents a projection and analysis of US energy supply, demand, and prices through 2035. The projections are based on results from the Energy Information Administration's National Energy Modeling System.

This statistic shows the consumer price index (CPI) of bread in Norway as an annual average from 2009 to 2022. In 2022, the average CPI of bread in Norway was measured at *****, where the year 2015 equals 100.

Producer Prices in Senegal increased 4.60 percent in May of 2025 over the same month in the previous year. This dataset provides - Senegal Producer Prices Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Peru Consumer Price Index (CPI): Lima: House, Combustion & Electricity: Fuel & Electricity: Electricity data was reported at 148.520 2009=100 in Sep 2018. This stayed constant from the previous number of 148.520 2009=100 for Aug 2018. Peru Consumer Price Index (CPI): Lima: House, Combustion & Electricity: Fuel & Electricity: Electricity data is updated monthly, averaging 113.490 2009=100 from Jan 2010 (Median) to Sep 2018, with 105 observations. The data reached an all-time high of 152.860 2009=100 in Apr 2018 and a record low of 94.430 2009=100 in Jun 2010. Peru Consumer Price Index (CPI): Lima: House, Combustion & Electricity: Fuel & Electricity: Electricity data remains active status in CEIC and is reported by National Institute of Statistics and Information Science. The data is categorized under Global Database’s Peru – Table PE.I009: Consumer Price Index: Lima: 2009=100.

U.S. Natural Gas Liquid Prices: 16 years of historical data from 2009 to 2025.

Producer Prices in Ghana increased 10.20 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Ghana Producer Prices Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Learn about the volatility of crude oil prices in 2009 due to the global financial crisis, decreased demand, and OPEC's production cuts. Discover how the price fluctuated from $46 to $33 per barrel, reached a high of $70 per barrel, and ended the year at around $75 per barrel.

This dataset describes the value of various sectors of the Economy by economic activity in order to quantify the national gross domestic product for the years 2001 - 2009 (Value in Kenya Schilling in Millions)

House Price Index MoM in Portugal increased to 4.80 percent in the first quarter of 2025 from 3 percent in the fourth quarter of 2024. This dataset includes a chart with historical data for Portugal House Price Index QoQ.