Dataset

This dataset was created by Josue Huaman

Released under Apache 2.0

Contents

Property Price Index: New Constructed: Commodity Residential: Shenyang data was reported at 97.400 Prev Year=100 in Mar 2025. This records an increase from the previous number of 97.200 Prev Year=100 for Feb 2025. Property Price Index: New Constructed: Commodity Residential: Shenyang data is updated monthly, averaging 103.100 Prev Year=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 113.300 Prev Year=100 in Oct 2013 and a record low of 90.100 Prev Year=100 in Apr 2015. Property Price Index: New Constructed: Commodity Residential: Shenyang data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (PY=100): New Constructed Commodity Residential.

Property Price Index: New Constructed: Commodity Residential: Beijing data was reported at 94.300 Prev Year=100 in Mar 2025. This records a decrease from the previous number of 94.500 Prev Year=100 for Feb 2025. Property Price Index: New Constructed: Commodity Residential: Beijing data is updated monthly, averaging 103.700 Prev Year=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 130.400 Prev Year=100 in Sep 2016 and a record low of 94.300 Prev Year=100 in Mar 2025. Property Price Index: New Constructed: Commodity Residential: Beijing data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (PY=100): New Constructed Commodity Residential. The survey coverage and methods for the 70 cities property price index: Survey Coverage: The survey was conducted in the municipal districts of 70 medium and large-sized cities, excluding the counties. Survey Methods: The data of sales price, floor space and amount of money directly came from the network transaction records data of local real estate management departments. The survey of sales prices of second-hand residential buildings was non-overall survey, integrating key-point investigation with typical investigation, combing the methods of real estate brokerage agency reporting, real estate management departments providing, as well as investigator obtaining prices on the spot, to collect the basic data.

The Consumer Price Index (CPI) measures the change in the price of goods and services from the perspective of the consumer. It is a key way to measure changes in purchasing trends and inflation.

A higher than expected reading should be taken as positive/bullish for the USD, while a lower than expected reading should be taken as negative/bearish for the USD. https://www.investing.com/economic-calendar/cpi-69

In the period from 2015 to 2024, the consumer price index (CPI) of make-up in Finland fluctuated. In 2024, the CPI for make-up was measured at *****, where the base year 2015 equals 100.

Indices are created by consolidating multidimensional data into a single representative measure known as an index, using a fundamental mathematical model. Most present indices are essentially the averages or weighted averages of the variables under study, ignoring multicollinearity among the variables, with the exception of the existing Ordinary Least Squares (OLS) estimator based OLS-PCA index methodology. Many existing surveys adopt survey designs that incorporate survey weights, aiming to obtain a representative sample of the population while minimizing costs. Survey weights play a crucial role in addressing the unequal probabilities of selection inherent in complex survey designs, ensuring accurate and representative estimates of population parameters. However, the existing OLS-PCA based index methodology is designed for simple random sampling and is incapable of incorporating survey weights, leading to biased estimates and erroneous rankings that can result in flawed inferences and conclusions for survey data. To address this limitation, we propose a novel Survey Weighted PCA (SW-PCA) based Index methodology, tailored for survey-weighted data. SW-PCA incorporates survey weights, facilitating the development of unbiased and efficient composite indices, improving the quality and validity of survey-based research. Simulation studies demonstrate that the SW-PCA based index outperforms the OLS-PCA based index that neglects survey weights, indicating its higher efficiency. To validate the methodology, we applied it to a Household Consumer Expenditure Survey (HCES), NSS 68th Round survey data to construct a Food Consumption Index for different states of India. The result was significant improvements in state rankings when survey weights were considered. In conclusion, this study highlights the crucial importance of incorporating survey weights in index construction from complex survey data. The SW-PCA based Index provides a valuable solution, enhancing the accuracy and reliability of survey-based research, ultimately contributing to more informed decision-making.

Property Price Index: New Constructed: Commodity Residential: Guangzhou data was reported at 92.800 Prev Year=100 in Mar 2025. This records an increase from the previous number of 92.200 Prev Year=100 for Feb 2025. Property Price Index: New Constructed: Commodity Residential: Guangzhou data is updated monthly, averaging 104.200 Prev Year=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 124.300 Prev Year=100 in Dec 2016 and a record low of 89.600 Prev Year=100 in Oct 2024. Property Price Index: New Constructed: Commodity Residential: Guangzhou data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (PY=100): New Constructed Commodity Residential.

Dataset

This dataset was created by Cote Nerd

Released under MIT

Contents

Using Analytic Hierarchy Process (AHP) and multi-level multidimensional modeling method, the evaluation system of mobile news client's service quality is divided into three layers, which are target layer, first-level index and second-level index respectively. The target layer Mobile News client service quality, the first-level indicators and the second-level indicators will refine the target, so as to fully evaluate the service quality of the mobile news client. Analytic Hierarchy Process (AHP) uses fuzzy quantitative methods of qualitative indicators to construct the judgment matrix using quantitative data to calculate the weights. Therefore, AHP can transform subjective factors into objective data, which has reached the goal of accurate and practical.

European Owner Occcupied Price Index on Self-build Dwellings and Major Renovations by Country, 2022 Discover more data with ReportLinker!

Property Price Index: New Constructed: Commodity Residential: 90-144 sq m: Hangzhou data was reported at 99.500 Prev Year=100 in Mar 2025. This records an increase from the previous number of 98.800 Prev Year=100 for Feb 2025. Property Price Index: New Constructed: Commodity Residential: 90-144 sq m: Hangzhou data is updated monthly, averaging 103.400 Prev Year=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 130.900 Prev Year=100 in Oct 2016 and a record low of 88.500 Prev Year=100 in May 2012. Property Price Index: New Constructed: Commodity Residential: 90-144 sq m: Hangzhou data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (PY=100): New Constructed Commodity Residential: By Area of Floor Space.

The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

This statistic presents the production index of construction of buildings in Turkey from first quarter of 2014 to forth quarter of 2016. In between respective quarters figures showed a fluctuation and equaled to over *** points in the last quarter of 2016. This was approximately ** points less than the production index of construction of buildings recorded in the second quarter of 2016, which was the highest figure observed in the course of 12 quarters.

Property Price Index: New Constructed: Commodity Residential: Wuhan data was reported at 100.100 Prev Mth=100 in Mar 2025. This records an increase from the previous number of 99.700 Prev Mth=100 for Feb 2025. Property Price Index: New Constructed: Commodity Residential: Wuhan data is updated monthly, averaging 100.300 Prev Mth=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 103.900 Prev Mth=100 in Sep 2016 and a record low of 98.200 Prev Mth=100 in Jul 2014. Property Price Index: New Constructed: Commodity Residential: Wuhan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (Previous Month=100): New Constructed Commodity Residential.

Property Price Index: YoY: Year to Date: Newly Constructed: Commodity Residential: below 90 sq m: Wuhan data was reported at 93.600 Prev Year=100 in Mar 2025. This records an increase from the previous number of 93.400 Prev Year=100 for Feb 2025. Property Price Index: YoY: Year to Date: Newly Constructed: Commodity Residential: below 90 sq m: Wuhan data is updated monthly, averaging 95.900 Prev Year=100 from Jan 2023 (Median) to Mar 2025, with 27 observations. The data reached an all-time high of 98.900 Prev Year=100 in Dec 2023 and a record low of 93.000 Prev Year=100 in Dec 2024. Property Price Index: YoY: Year to Date: Newly Constructed: Commodity Residential: below 90 sq m: Wuhan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (Same Period PY=100): New Constructed Commodity Residential: By Area of Floor Space.

Property Price Index: New Constructed: Commodity Residential: Fuzhou data was reported at 100.100 Prev Mth=100 in Mar 2025. This records an increase from the previous number of 99.900 Prev Mth=100 for Feb 2025. Property Price Index: New Constructed: Commodity Residential: Fuzhou data is updated monthly, averaging 100.100 Prev Mth=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 105.100 Prev Mth=100 in Sep 2016 and a record low of 98.100 Prev Mth=100 in Aug 2024. Property Price Index: New Constructed: Commodity Residential: Fuzhou data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (Previous Month=100): New Constructed Commodity Residential.

Property Price Index: New Constructed: Commodity Residential: Zunyi data was reported at 96.500 Prev Year=100 in Mar 2025. This records a decrease from the previous number of 96.600 Prev Year=100 for Feb 2025. Property Price Index: New Constructed: Commodity Residential: Zunyi data is updated monthly, averaging 101.100 Prev Year=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 114.100 Prev Year=100 in Nov 2018 and a record low of 93.500 Prev Year=100 in Jun 2015. Property Price Index: New Constructed: Commodity Residential: Zunyi data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (PY=100): New Constructed Commodity Residential.

Property Price Index: New Constructed: Commodity Residential: 90-144 sq m: Harbin data was reported at 95.400 Prev Year=100 in Mar 2025. This records an increase from the previous number of 95.100 Prev Year=100 for Feb 2025. Property Price Index: New Constructed: Commodity Residential: 90-144 sq m: Harbin data is updated monthly, averaging 100.700 Prev Year=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 115.000 Prev Year=100 in Jan 2019 and a record low of 91.800 Prev Year=100 in Nov 2022. Property Price Index: New Constructed: Commodity Residential: 90-144 sq m: Harbin data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (PY=100): New Constructed Commodity Residential: By Area of Floor Space.