Graph and download economic data for Unemployment Rate in Idaho (IDUR) from Jan 1976 to Apr 2025 about ID, unemployment, rate, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Other Goods and Services in Size Class A (CUURA000SAG) from Dec 1986 to May 2025 about urban, consumer, goods, services, CPI, inflation, price index, indexes, price, and USA.

Graph and download economic data for Average Weekly Earnings of Production and Nonsupervisory Employees, Manufacturing (CES3000000030) from Jan 1939 to May 2025 about nonsupervisory, earnings, establishment survey, production, manufacturing, employment, and USA.

In the frame of the QUAE project, an identification procedure was develop to sort singular behaviours in river temperature time series. This procedure was conceived as a tool to indentify particular behaviours in time series despite non continuous measurements and regardless the type of measurement (temperature, streamflow...). Three types of singularities are identified: extreme values (in some cases similar as outliers), roughened data (such as the difference between water temperature and air temperature) and buffered data (such as signals caused by groundwater inflows).

Dataset

This dataset was created by VIKAS

Contents

Hong Kong Consumer Price Index (B): YoY data was reported at 1.400 % in Dec 2016. This stayed constant from the previous number of 1.400 % for Nov 2016. Hong Kong Consumer Price Index (B): YoY data is updated monthly, averaging 4.600 % from Jul 1975 (Median) to Dec 2016, with 498 observations. The data reached an all-time high of 19.300 % in Feb 1980 and a record low of -6.900 % in Sep 1999. Hong Kong Consumer Price Index (B): YoY data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.I032: Consumer Price Index (B): 10/09-9/10=100. According to the source, Composite Consumer Price Index (B) of more than 1 decimal place are used in the calculation to derive the year-on-year rates of change. Furthermore, the year-on-year rates of change before October 2010 were derived using the index series in the base periods at that time (for instance the 2004/05-based index series), compared with the index a year earlier in the same base period. Rebased from Oct2009-Sep2010=100 to Oct2014-Sep2015=100 Replacement series ID: 376217877

Graph and download economic data for Employment Cost Index: Total compensation for Private industry workers in Manufacturing (CIU2013000000000I) from Q1 2001 to Q1 2025 about ECI, compensation, workers, private industries, private, manufacturing, industry, and USA.

The General Household Survey (GHS), ran from 1971-2011 (the UKDS holds data from 1972-2011). It was a continuous annual national survey of people living in private households, conducted by the Office for National Statistics (ONS). The main aim of the survey was to collect data on a range of core topics, covering household, family and individual information. This information was used by government departments and other organisations for planning, policy and monitoring purposes, and to present a picture of households, families and people in Great Britain. In 2008, the GHS became a module of the Integrated Household Survey (IHS). In recognition, the survey was renamed the General Lifestyle Survey (GLF). The GLF closed in January 2012. The 2011 GLF is therefore the last in the series. A limited number of questions previously run on the GLF were subsequently included in the Opinions and Lifestyle Survey (OPN).

Secure Access GHS/GLF
The UKDS holds standard access End User Licence (EUL) data for 1972-2006. A Secure Access version is available, covering the years 2000-2011 - see SN 6716 General Lifestyle Survey, 2000-2011: Secure Access.

History
The GHS was conducted annually until 2011, except for breaks in 1997-1998 when the survey was reviewed, and 1999-2000 when the survey was redeveloped. Further information may be found in the ONS document An overview of 40 years of data (General Lifestyle Survey Overview - a report on the 2011 General Lifestyle Survey) (PDF). Details of changes each year may be found in the individual study documentation.

EU-SILC
In 2005, the European Union (EU) made a legal obligation (EU-SILC) for member states to collect additional statistics on income and living conditions. In addition, the EU-SILC data cover poverty and social exclusion. These statistics are used to help plan and monitor European social policy by comparing poverty indicators and changes over time across the EU. The EU-SILC requirement was integrated into the GHS/GLF in 2005. After the closure of the GLF, EU-SILC was collected via the Family Resources Survey (FRS) until the UK left the EU in 2020.

Reformatted GHS data 1973-1982 - Surrey SPSS Files
SPSS files were created by the University of Surrey for all GHS years from 1973 to 1982 inclusive. The early files were restructured and the case changed from the household to the individual with all of the household information duplicated for each individual. The Surrey SPSS files contain all the original variables as well as some extra derived variables (a few variables were omitted from the data files for 1973-76). In 1973 only, the section on leisure was not included in the Surrey SPSS files. This has subsequently been made available, however, and is now held in a separate study, General Household Survey, 1973: Leisure Questions (SN 3982). Records for the original GHS 1973-1982 ASCII files have been removed from the UK Data Archive catalogue, but the data are still preserved and available upon request.

General Household Survey: Time Series Dataset, 1972-2004:
The General Household Survey Time Series Dataset 1972-2004 was created by ONS. The dataset allows for analysis of several topics covered in the GHS over time and for pseudo-cohort analysis. It was originally referred to as the GHS Pseudo-Cohort Dataset (GHSPCD). The user guide for the time series dataset was created jointly by ONS and the Economic and Social Data Service (ESDS) Government.

Dataset

This dataset was created by Naim Mhedhbi

Contents

United States CBO Projection:(CPI) Consumer Price IndexU: Less Food & Energy: Annual data was reported at 334.595 1982-1984=100 in 2029. This records an increase from the previous number of 326.902 1982-1984=100 for 2028. United States CBO Projection:(CPI) Consumer Price IndexU: Less Food & Energy: Annual data is updated yearly, averaging 270.654 1982-1984=100 from Dec 2011 (Median) to 2029, with 19 observations. The data reached an all-time high of 334.595 1982-1984=100 in 2029 and a record low of 224.992 1982-1984=100 in 2011. United States CBO Projection:(CPI) Consumer Price IndexU: Less Food & Energy: Annual data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s United States – Table US.I004: Consumer Price Index: Urban: Projection: Congressional Budget Office. Refer to Series ID 41090601 for the actual figures from Bureau of Labor Statistics

Dataset

This dataset was created by Safar Bekjon

Contents

Hong Kong Consumer Price Index (A): YoY data was reported at 1.200 % in Dec 2016. This records a decrease from the previous number of 1.300 % for Nov 2016. Hong Kong Consumer Price Index (A): YoY data is updated monthly, averaging 4.700 % from Jul 1975 (Median) to Dec 2016, with 498 observations. The data reached an all-time high of 20.800 % in Feb 1980 and a record low of -6.200 % in Dec 2001. Hong Kong Consumer Price Index (A): YoY data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.I021: Consumer Price Index (A): 10/09-9/10=100. According to the source, Composite Consumer Price Index (A) of more than 1 decimal place are used in the calculation to derive the year-on-year rates of change. Furthermore, the year-on-year rates of change before October 2010 were derived using the index series in the base periods at that time (for instance the 2004/05-based index series), compared with the index a year earlier in the same base period. Rebased from Oct2009-Sep2010=100 to Oct2014-Sep2015=100 Replacement series ID: 376217867

Hong Kong Consumer Price Index (C): YoY data was reported at 1.400 % in Dec 2016. This records an increase from the previous number of 1.300 % for Nov 2016. Hong Kong Consumer Price Index (C): YoY data is updated monthly, averaging 4.900 % from Jul 1975 (Median) to Dec 2016, with 498 observations. The data reached an all-time high of 17.600 % in Feb 1980 and a record low of -6.200 % in Jan 2000. Hong Kong Consumer Price Index (C): YoY data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.I043: Consumer Price Index (C): 10/09-9/10=100. According to the source, Composite Consumer Price Index (C) of more than 1 decimal place are used in the calculation to derive the year-on-year rates of change. Furthermore, the year-on-year rates of change before October 2010 were derived using the index series in the base periods at that time (for instance the 2004/05-based index series), compared with the index a year earlier in the same base period. Rebased from Oct2009-Sep2010=100 to Oct2014-Sep2015=100 Replacement series ID: 376217887

Graph and download economic data for Producer Price Index by Commodity: Intermediate Demand by Commodity Type: Trade Services for Manufacturing Industries (WPSID6331) from Dec 2012 to May 2025 about intermediate, trade, services, commodities, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

Indonesia ID: Gross National Income: Linked Series data was reported at 20,354,441,566.176 IDR mn in 2023. This records an increase from the previous number of 19,049,883,315.341 IDR mn for 2022. Indonesia ID: Gross National Income: Linked Series data is updated yearly, averaging 3,492,678,203.170 IDR mn from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 20,354,441,566.176 IDR mn in 2023 and a record low of 185,981,700.000 IDR mn in 1990. Indonesia ID: Gross National Income: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Indonesia – Table ID.World Bank.WDI: Gross Domestic Product: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. Data are in local currency, at current prices.;World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.;;

Composite CPI: sa: Electricity, gas and water data was reported at 107.000 Oct1999-Sep2000=100 in Dec 2006. This records a decrease from the previous number of 107.100 Oct1999-Sep2000=100 for Nov 2006. Composite CPI: sa: Electricity, gas and water data is updated monthly, averaging 101.200 Oct1999-Sep2000=100 from Oct 1999 (Median) to Dec 2006, with 87 observations. The data reached an all-time high of 112.900 Oct1999-Sep2000=100 in Sep 2006 and a record low of 76.900 Oct1999-Sep2000=100 in Jan 2003. Composite CPI: sa: Electricity, gas and water data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.I016: Composite Consumer Price Index: Seasonally Adjusted: 10/99-9/00=100. Rebased from Oct99-Sep00=100 to Oct04-Sep05=100. Replacement Series ID: 105111201

Analysis of ‘Time Series starter dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/podsyp/time-series-starter-dataset on 28 January 2022.

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

Context

Machine learning can be applied to time series datasets.

Content

A problem when getting started in time series forecasting with machine learning is finding good quality standard datasets on which to practice.

Acknowledgements

Almost every data scientist will encounter time series in their work and being able to effectively deal with such data is an important skill in the data science toolbox.Almost every data scientist will encounter time series in their work and being able to effectively deal with such data is an important skill in the data science toolbox.

Inspiration

Let’s begin from basics.

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

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the U.S. Census Bureau hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according the amount of data that is brought in. Explore the U.S. Census Bureau using Kaggle and all of the data sources available through the U.S. Census Bureau organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Hong Kong Composite Consumer Price Index (CPI): Food excl Meals away from Home data was reported at 138.900 Oct2009-Sep2010=100 in Dec 2016. This records an increase from the previous number of 138.800 Oct2009-Sep2010=100 for Nov 2016. Hong Kong Composite Consumer Price Index (CPI): Food excl Meals away from Home data is updated monthly, averaging 74.800 Oct2009-Sep2010=100 from Oct 1980 (Median) to Dec 2016, with 435 observations. The data reached an all-time high of 145.200 Oct2009-Sep2010=100 in Feb 2016 and a record low of 28.800 Oct2009-Sep2010=100 in Oct 1980. Hong Kong Composite Consumer Price Index (CPI): Food excl Meals away from Home data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.I005: Composite Consumer Price Index: 10/09-9/10=100. Rebased from Oct2009-Sep2010=100 to Oct2014-Sep2015=100 Replacement series ID: 376217967

Montenegro Consumer Price Index (CPI): Previous Year=100 data was reported at 100.971 Prev Year=100 in Dec 2016. This records an increase from the previous number of 100.792 Prev Year=100 for Nov 2016. Montenegro Consumer Price Index (CPI): Previous Year=100 data is updated monthly, averaging 102.036 Prev Year=100 from Jan 2008 (Median) to Dec 2016, with 108 observations. The data reached an all-time high of 110.800 Prev Year=100 in Dec 2008 and a record low of 98.400 Prev Year=100 in Apr 2014. Montenegro Consumer Price Index (CPI): Previous Year=100 data remains active status in CEIC and is reported by Statistical Office of Montenegro. The data is categorized under Global Database’s Montenegro – Table ME.I008: Consumer Price Index: Previous Year=100. Rebased from Prev Year=100 to 2015=100 Replacement series ID: 385316217