United States - Producer Price Index by Commodity: Nonmetallic Mineral Products: Mineral Wool for Thermal and Acoustical Envelope Insulation was 241.04600 Index 1982=100 in March of 2022, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Nonmetallic Mineral Products: Mineral Wool for Thermal and Acoustical Envelope Insulation reached a record high of 241.04600 in March of 2022 and a record low of 53.80000 in February of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Nonmetallic Mineral Products: Mineral Wool for Thermal and Acoustical Envelope Insulation - last updated from the United States Federal Reserve on March of 2025.

Cyprus Construction Materials Price Index: WI: Insulation Materials: Thermal Insulation data was reported at 106.903 2005=100 in Dec 2013. This stayed constant from the previous number of 106.903 2005=100 for Nov 2013. Cyprus Construction Materials Price Index: WI: Insulation Materials: Thermal Insulation data is updated monthly, averaging 105.585 2005=100 from Jan 2005 (Median) to Dec 2013, with 108 observations. The data reached an all-time high of 109.494 2005=100 in Mar 2012 and a record low of 98.604 2005=100 in Mar 2006. Cyprus Construction Materials Price Index: WI: Insulation Materials: Thermal Insulation data remains active status in CEIC and is reported by Statistical Service of Cyprus. The data is categorized under Global Database’s Cyprus – Table CY.EA008: Construction Materials Price Index: 2005=100.

Graph and download economic data for Producer Price Index by Commodity: Nonmetallic Mineral Products: Mineral Wool for Thermal and Acoustical Envelope Insulation (WPU13920105) from Jun 2007 to Feb 2025 about wool, nonmetallic, minerals, commodities, PPI, inflation, price index, indexes, price, and USA.

China Insulation Product: Cost of Sales: Year to Date data was reported at 41.468 RMB bn in Oct 2015. This records an increase from the previous number of 36.559 RMB bn for Sep 2015. China Insulation Product: Cost of Sales: Year to Date data is updated monthly, averaging 14.765 RMB bn from Dec 1998 (Median) to Oct 2015, with 102 observations. The data reached an all-time high of 50.812 RMB bn in Dec 2014 and a record low of 2.111 RMB bn in Feb 2006. China Insulation Product: Cost of Sales: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIA: Wire, Cable, Fiber Optic and Electrical Equipment: Insulation Product.

China Thermal & Sound Insulation Material: YoY: Selling and Distribution Cost: Year to Date data was reported at 12.108 % in Oct 2015. This records an increase from the previous number of 11.956 % for Sep 2015. China Thermal & Sound Insulation Material: YoY: Selling and Distribution Cost: Year to Date data is updated monthly, averaging 22.028 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 59.310 % in Mar 2012 and a record low of 4.673 % in Mar 2015. China Thermal & Sound Insulation Material: YoY: Selling and Distribution Cost: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHS: Brick, Stone and Other Building Material: Thermal and Sound Insulation Material.

European Union - Producer prices in industry: Manufacture of ceramic insulators and insulating fittings was 125.70 points in January of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for European Union - Producer prices in industry: Manufacture of ceramic insulators and insulating fittings - last updated from the EUROSTAT on March of 2025. Historically, European Union - Producer prices in industry: Manufacture of ceramic insulators and insulating fittings reached a record high of 125.70 points in January of 2025 and a record low of 94.30 points in June of 2010.

China Insulation Product: Selling and Distribution Cost: Year to Date data was reported at 1.269 RMB bn in Oct 2015. This records an increase from the previous number of 1.114 RMB bn for Sep 2015. China Insulation Product: Selling and Distribution Cost: Year to Date data is updated monthly, averaging 0.475 RMB bn from Dec 2004 (Median) to Oct 2015, with 96 observations. The data reached an all-time high of 1.443 RMB bn in Dec 2014 and a record low of 0.071 RMB bn in Feb 2006. China Insulation Product: Selling and Distribution Cost: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIA: Wire, Cable, Fiber Optic and Electrical Equipment: Insulation Product.

Graph and download economic data for Producer Price Index by Industry: Mineral Wool Manufacturing: Other Mineral Wool for Industrial, Equipment, and Appliance Insulation (PCU32799332799343) from Dec 1997 to Jun 2007 about wool, appliances, minerals, equipment, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

Cyprus Construction Materials Price Index: WI: Insulation Materials data was reported at 112.674 2005=100 in Dec 2013. This stayed constant from the previous number of 112.674 2005=100 for Nov 2013. Cyprus Construction Materials Price Index: WI: Insulation Materials data is updated monthly, averaging 110.650 2005=100 from Jan 2005 (Median) to Dec 2013, with 108 observations. The data reached an all-time high of 114.306 2005=100 in Jan 2009 and a record low of 99.422 2005=100 in Jan 2005. Cyprus Construction Materials Price Index: WI: Insulation Materials data remains active status in CEIC and is reported by Statistical Service of Cyprus. The data is categorized under Global Database’s Cyprus – Table CY.EA008: Construction Materials Price Index: 2005=100.

China Insulation Product: Profit to Cost Ratio data was reported at 6.569 % in Oct 2015. This records an increase from the previous number of 6.322 % for Sep 2015. China Insulation Product: Profit to Cost Ratio data is updated monthly, averaging 5.894 % from Dec 2006 (Median) to Oct 2015, with 83 observations. The data reached an all-time high of 8.297 % in Dec 2006 and a record low of 3.402 % in Feb 2012. China Insulation Product: Profit to Cost Ratio data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIA: Wire, Cable, Fiber Optic and Electrical Equipment: Insulation Product.

United States - Producer Price Index by Industry: Other Communication and Energy Wire Manufacturing: Other Insulated Wire and Cable, Including Control and Signal, Made of Nonferrous Metals (Purchased Wire) was 160.80500 Index Dec 2011=100 in January of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Other Communication and Energy Wire Manufacturing: Other Insulated Wire and Cable, Including Control and Signal, Made of Nonferrous Metals (Purchased Wire) reached a record high of 162.15200 in December of 2024 and a record low of 94.80000 in June of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Other Communication and Energy Wire Manufacturing: Other Insulated Wire and Cable, Including Control and Signal, Made of Nonferrous Metals (Purchased Wire) - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Producer Price Index by Industry: Urethane and Other Foam Product Manufacturing: All Other Miscellaneous Polyurethane Foam Products (PCU3261503261506) from Dec 2003 to Feb 2025 about miscellaneous, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

China Thermal & Sound Insulation Material: YoY: Cost of Sales: Year to Date data was reported at 12.471 % in Oct 2015. This records a decrease from the previous number of 13.449 % for Sep 2015. China Thermal & Sound Insulation Material: YoY: Cost of Sales: Year to Date data is updated monthly, averaging 28.606 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 52.240 % in May 2008 and a record low of 12.465 % in Feb 2015. China Thermal & Sound Insulation Material: YoY: Cost of Sales: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHS: Brick, Stone and Other Building Material: Thermal and Sound Insulation Material.

Name: Characterization of investments profiles on the energy transition for european citizens

Summary: The dataset contains: (1) surveyee consent form for the study, (2) different scenarios about the energy transition, (3) determinant factors about those scenarios, (4) socioeconomic description of the surveyee, (5) investment decisions, (6) and household characterization/description.

License: cc-BY-SA

Acknowledge: These data have been collected in the framework of the WHY project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891943.

Disclaimer: The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the Executive Agency for Small and Medium-sized Enterprises (EASME) or the European commission (Ec). EASME or the Ec are not responsible for any use that may be made of the information contained therein.

Collection Date: 22/07/2022

Publication Date: 15/10/2023

DOI: 10.5281/zenodo.4455198

Other repositories:

Author: University of Deusto

Objective of collection: This data was originally collected to analyze quantitatively the decisions of everyday people in relation to their energy consumption and their reactions to specific political interventions.

Description: The dataset contains a ODS spreadsheet file containing data collected from a survey about energy consumption investments. The fields that can be found for each entry are (1) Different scenarios about the energy transition and reactions to those scenarios, (money spent on energy investments, decisions about scenarios, actions taken under a blackout, etc.) (2) Determinant factors about the chosen scenarios in the previous question, which include different choices that could affect your decision about a scenario (3) socioeconomic information about the user (age, country of residence, studies), (4) estimation of the prices of various technologies related to the energy transition and (5) descriptive statistics about the household living situation (gender of user, people living in household, yearly rent, average savings per month, type of house, size of house) and also includes questions about climate change expertise. Next you can found a description of each field in the dataset

Section 1 - Scenarios for energy transition.

ID90. Rank in order of priority, from top to bottom, in which scenario you will be willing to live or to contribute/invest to make it possible.

ID36, ID38, ID43, ID44, ID72. Percentage of money people are willing to spend/save out of their income per scenario

ID191, ID192.. Amount of money people would spend based on an assumed case.

ID191, ID192. Priority service provision in case of Intermittent energy service. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority for you and 10 stars means it is absolutely necessary for you.

[ID325, ID326, ID327, ID328, ID329, ID330, ID331, ID332, ID333, ID334, ID335, ID336, ID337, ID338, ID339, ID340, ID341, ID133, ID242]. Priority service provision in case of Intermittent energy service. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority and 10 stars means it is absolutely necessary.

[ID251, ID256, ID257, ID292, ID293, ID294, ID295, ID296, ID297, ID298, ID299, ID301, ID302, ID303, ID304, ID305, ID306, ID250, ID251]. Priority service provision in case of full black-outs. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority and 10 stars means it is absolutely necessary.

[ID141, ID5, ID147]. Used for statements that best represent survey responder

Section 2 - Determinants (factors). Questions used to rate (from 0 to 100) factors that may influence the decision-making process contributing to make an ideal scenario possible.

ID100 Risk profile

ID101 Added value

ID102 Self-Satisfaction

ID103 Technical Fit

ID104 Own competence

ID105 Knowledge

ID106 cost-Efficiency

ID107 Safety

ID108 Trust

ID109 Autarky

ID110 Legal

ID111 climate protection

ID112 Wellbeing

ID113 Coziness

ID114 Rights and Duties

ID115 Peer-Pressure

ID116 Socialising

ID117 Support

ID118 Agreement

ID119 Brag

ID120 Fun

ID121 Novelty

ID122 Trends

ID123 Authority

ID124 Own Significance

ID125 Poseur

ID2 Frugality

ID3 Environmental concerns

ID31 Adherence

ID52 Commitment

ID97 Profits

ID99 Credit Score

Section 3 - “Socio-economic” description. Questions about the socio-economic information of the survey respondents for data stratification. The indentation represents the dependency of questions and whether this data was asked

ID164 Understanding of questions

ID300 Country of residence

ID137 Age

ID178 Highest level of education

ID136 Willingness to provide data on the investment decision (respond apply for -Investment decision section)

Section 4 - Investment decision. Questions about specific prices of potential purchases-decisions related to four scenarios (respondent's lifestyle)

Appliances

ID42 Affordable cost of a Regular refrigerator

ID45 Energy efficient refrigerator costs

ID50 Willingness to purchase an energy efficient refrigerator

ID65 Why no

ID66 affordable cost of an energy efficient option

ID67 Years to amortize an efficient option

Insulation

ID47 Affordable cost of updating to a state of the art insulation on the facade

ID56 Willingness for paying/invest

ID74 Why no?

ID20 affordable cost of an energy efficient option

ID34 Years to amortize an energy efficient option

Energy Generation

ID68 Affordable cost of a solar photovoltaic system

ID76 Willingness for paying/invest

ID84 Why no?

ID132 Affordable cost of a photovoltaic system

ID138 Years that amortize a photovoltaic system

Energy Storage

ID142 Affordable cost of an energy storage system

ID146 Willingness for paying/invest

ID181 Why no?

ID182 Affordable cost of an energy storage system

ID183 Years that amortize an energy storage systems

Heating

ID140 Affordable cost of a gas boiler

ID209 Affordable cost of an energy efficient heating system

ID217 Willingness for paying/invest

ID238 Why no?

ID239 Affordable cost of a energy efficient option

ID241 Years that amortize a heat pumps

Mobility

ID41 Average kilometers traveled a typical day

ID51 Usual travel option

ID264 Affordable cost of a diesel or gasoline mid-range brand new car

ID265 Affordable cost of a mid-range brand new electric car

ID281 Willingness to buy an electric car

ID289 Why no?

ID290 Affordable price of an electric car

ID291 Years that amortize an electric car

Section 5 - Household characterization

ID127 Selecting an asked value

ID189 Type of living area

ID202 Gender identity

ID1 Those living in the house

ID32 Number of inhabitants

ID220 Average neat yearly income

ID229 Average monthly saving

ID240 Type of housing

ID249 Owner / co-owner

ID255 Usable area of the property (m²)

ID263 Insulation level

ID270 Climate zone

ID86 Level of self-awareness about climate change. On scale of 0-10, where 0 is “climate change does not exist” and 10 is “I am a climate change expert/activist”

ID87 Level of awareness of climate change among your peers or relatives, On a scale of 0-10, where 0 is “climate change does not exist” and 10 is “They are climate change experts/activists”

ID88 Level of self-awareness about energy transition. On a scale of 0-10, where 0 is “It is the first time I hear about it” and 10 is “I am an expert or activist”

ID89 Level of awareness of energy transition among your peers or relatives On a scale of 0-10, where 0 is “It is the first time they hear about it” and 10 is “They are experts or activists”

ID190 feedback about survey

5 star: ⭐⭐⭐

Preprocessing steps: anonymization, data fusion, imputation of gaps.

Reuse: NA

Update policy: No more updates are planned

Ethics and legal aspects: Spanish electric cooperative data contains the CUPS (Meter Point Administration Number), which is personal data. A pre-processing step has been carried out to substitute the CUPS by a random value hash.

Technical aspects:

Other:

PPI: W: CS: CE: CI: Ceramic Insulation Materials data was reported at 0.300 Per 1000 in Apr 2022. This stayed constant from the previous number of 0.300 Per 1000 for Mar 2022. PPI: W: CS: CE: CI: Ceramic Insulation Materials data is updated monthly, averaging 0.300 Per 1000 from Jan 1995 (Median) to Apr 2022, with 328 observations. The data reached an all-time high of 0.300 Per 1000 in Apr 2022 and a record low of 0.300 Per 1000 in Apr 2022. PPI: W: CS: CE: CI: Ceramic Insulation Materials data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I067: Producer Price Index: 2015=100: Weight.

The global building envelope systems market is experiencing robust growth, driven by the increasing demand for energy-efficient and sustainable buildings. This surge is fueled by stricter building codes and regulations promoting energy conservation, coupled with rising awareness of environmental concerns among consumers and businesses. The market, currently estimated at $250 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This growth is propelled by several key factors including the expansion of the construction industry globally, particularly in developing economies, and the increasing adoption of advanced building materials offering improved insulation, durability, and aesthetics. Significant advancements in technology are also contributing, with innovations in materials like high-performance glass, advanced insulation solutions, and smart building technologies significantly impacting market growth. Furthermore, the growing focus on green building certifications (such as LEED) is further pushing the adoption of energy-efficient building envelope systems. The market segmentation reveals a diverse landscape, with liquid coatings and gypsum board dominating the type segment, while residential building applications holding the largest share in the application segment. Regional analysis shows strong growth potential in Asia Pacific, driven by rapid urbanization and infrastructure development in countries like China and India. North America and Europe also represent significant market segments due to established construction sectors and a high adoption rate of advanced building envelope systems. However, factors like fluctuating raw material prices and the economic conditions in certain regions can act as restraints on market expansion. The competitive landscape is characterized by the presence of both established global players and regional manufacturers, leading to continuous innovation and competitive pricing within the industry. The presence of numerous key players like 3M, Saint-Gobain, and Corning underscores the market’s maturity and its significant economic impact. This comprehensive report provides a detailed analysis of the global building envelope systems market, projected to reach $250 billion by 2028. It delves into market dynamics, key players, emerging trends, and future growth opportunities, offering invaluable insights for industry stakeholders. This report covers key aspects like curtain wall systems, thermal insulation, roofing, and waterproofing solutions, emphasizing sustainability and energy efficiency. The report is essential for investors, manufacturers, architects, contractors, and anyone involved in the construction and building industry. High-search-volume keywords include "building envelope systems market," "green building materials," "energy-efficient construction," "exterior wall systems," "building facade design," "thermal insulation solutions," and "construction materials market."

South Africa PPI: Materials: Fibrous Insulation: Preformed Pipe Section data was reported at 162.400 2000=100 in Dec 2012. This stayed constant from the previous number of 162.400 2000=100 for Nov 2012. South Africa PPI: Materials: Fibrous Insulation: Preformed Pipe Section data is updated monthly, averaging 52.500 2000=100 from Jan 1970 (Median) to Dec 2012, with 515 observations. The data reached an all-time high of 162.800 2000=100 in Jul 2008 and a record low of 0.000 2000=100 in Feb 1982. South Africa PPI: Materials: Fibrous Insulation: Preformed Pipe Section data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.I044: Producer Price Index: Materials Used: 2000=100.

Turkey Construction Cost Index: MT: RO: GC: Paint, Varnish, Insulation data was reported at 231.622 2005=100 in Dec 2017. This records an increase from the previous number of 215.745 2005=100 for Sep 2017. Turkey Construction Cost Index: MT: RO: GC: Paint, Varnish, Insulation data is updated quarterly, averaging 129.794 2005=100 from Mar 2005 (Median) to Dec 2017, with 52 observations. The data reached an all-time high of 231.622 2005=100 in Dec 2017 and a record low of 97.400 2005=100 in Mar 2005. Turkey Construction Cost Index: MT: RO: GC: Paint, Varnish, Insulation data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.EA023: Building Construction Cost Index: 2005=100.

South Africa PPI: Materials: Foam Insulation Materials: Polyurethane data was reported at 255.500 2000=100 in Dec 2012. This stayed constant from the previous number of 255.500 2000=100 for Nov 2012. South Africa PPI: Materials: Foam Insulation Materials: Polyurethane data is updated monthly, averaging 58.200 2000=100 from Jan 1970 (Median) to Dec 2012, with 516 observations. The data reached an all-time high of 260.000 2000=100 in Mar 2009 and a record low of 0.000 2000=100 in May 1982. South Africa PPI: Materials: Foam Insulation Materials: Polyurethane data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.I044: Producer Price Index: Materials Used: 2000=100.

France IMPI: Purchase: ME: Insulated Wire and Cables data was reported at 1,558,177.000 2000=100 in Mar 2011. This stayed constant from the previous number of 1,558,177.000 2000=100 for Feb 2011. France IMPI: Purchase: ME: Insulated Wire and Cables data is updated monthly, averaging 1,558,177.000 2000=100 from Aug 2005 (Median) to Mar 2011, with 68 observations. The data reached an all-time high of 1,558,177.000 2000=100 in Mar 2011 and a record low of 1,558,177.000 2000=100 in Mar 2011. France IMPI: Purchase: ME: Insulated Wire and Cables data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.I045: Import Price Index: 2000=100.