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Mayor Greg Fischer formed the Louisville Metro Office of Sustainability in 2012 with a mission of promoting environmental conservation, the health, wellness and prosperity of our citizens, and embedding sustainability into the culture of the Louisville community. Creating a culture of sustainability will be achieved through broad-based education and awareness efforts as well as implementation of projects and initiatives to influence behavior change.Data Dictionary: NEIGHBORHOOD - The neighborhood in Louisville.TOTAL NEW GREEN ROOFS - The number of green roofs installed. Each green roof is assumed to be 10,000 square feet.TOTAL GRASS PLANTED - The amount of bare dirt land planted with grass or other greenery, measured in hectares.TOTAL TREES PLANTED - The number of new trees planted.TOTAL COOL PAVING - Cool paving is pavement material engineered to exhibit a higher reflectivity than conventional pavement. Cool paving can be porous, made of a light colored material, or both. Cool paving is measured in hectares.TOTAL NEW COOL ROOFS - The number of cool roofs installed. Each cool roof is assumed to be 10,000 square feet. A cool roof can be steep-sloped or low-sloped or flat. A cool roof is define as a roof with a top-level material certified by ENERGY STAR or rated by the Cool Roof Rating Council as "cool." More information is available at https://louisvilleky.gov/government/sustainability/incentives#1Contact: sustainability@louisvilleky.gov

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This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet are not captured. Special consideration is given to garages that are less than 400 square feet and will be digitized when greater than 200 square feet. Interim rooflines, such as dormers and party walls, as well as minor structures, such as carports, decks, patios, stairs, etc., and impermanent structures, such as sheds, are not shown. Large buildings which appear to house activities that are commercial or industrial in nature are shown as commercial/industrial. Structures that appear to be primarily residential in nature, including hotels and apartment buildings are shown as residential buildings. Structures which appear to be used or owned primarily by governmental, nonprofit, religious, or charitable organizations, or which serve a public function are shown as public buildings. Structures which are closely associated with a larger building, such as a garage, are shown as an out building. Structures which cannot be clearly defined as Industrial/Commercial; Residential; Public; or Out Buildings are flagged as such for later categorization. The classification of buildings is subject to the interpretation from the aerial photography and may not reflect the building’s actual use. Buildings that have an area less than the minimum required size for data capture will occasionally be present in the Geodatabase. Buildings are not removed after they have been digitized and determined to be less than the minimum required size.

If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (https://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (https://openac-alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below.

Category: Housing and Properties

Organization: Allegheny County

Department: Geographic Information Systems Group; Department of Information Technology

Temporal Coverage: current

Data Notes:

Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot

Development Notes: Data meets or exceeds map accuracy standards in effect during the spring of 1992 and updated as a result of a flyover in the spring of 2004 and 2015. Original data was derived from aerial photography flown in the spring of 1992 for the eastern half of the County and the spring of 1993 for the western half of the County. Photography was produced at a scale of 1"=1500'. Mapping was stereo digitized at a scale of 1"=200'.

Other: none

Related Document(s): Data Dictionary (none)

Frequency - Data Change: Daily

Frequency - Publishing: Nightly

Data Steward Name: Eli Thomas

Data Steward Email: gishelp@alleghenycounty.us

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This table contains information about commercial properties including number of stories, elevators, exterior wall type, floor type and roof type for commercial properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

United States Employment: NF: CO: Roofing Contractor data was reported at 210.100 Person th in May 2018. This records an increase from the previous number of 201.800 Person th for Apr 2018. United States Employment: NF: CO: Roofing Contractor data is updated monthly, averaging 177.500 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 216.800 Person th in Aug 2006 and a record low of 118.800 Person th in Feb 1992. United States Employment: NF: CO: Roofing Contractor data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

Customs records of United Arab Em are available for ROOF CARE CO LLC. Learn about its Importer, supply capabilities and the countries to which it supplies goods

General description

This repository includes the datasets of the Co-UDlabs Transnational Access Project INDOOR-GRASP (Intercomparison of the hydrological Response of Green Roofs Across Scales, sites and experimental setups). The novelty of this project lies especially in the idea to conduct a paired green roof experiment, considering open site experimental plots at INSA Lyon (GROOF) and smaller indoor test plots built in the laboratory. Therefore, a 3x3 sq. m and a 1x1 sq. m test plot have been installed at the GROOF facility on the roof a building of the Institut National des Sciences Appliquées (INSA, Lyon). Measurements have been collected between September 2024 and March 2025. The project aims at developing a model which can be utilized to scale between both type of dimensions. In a later step, indoor experiments are also foreseen to focus on differences between open field and indoor test plots for green roofs. Whilst being a fascinating research question itself, it has high practical relevance: with this approach, the results of shorter (indoor) measurement campaigns can be scaled to long-term behavior through the outcome of this paired experimental and hydrological model approach. New green roof products can be tested more readily in order to proof their functionality.

Data description

indoor_grasp.csv file (time series)

temporal resolution: 1 min.

Description of columns:

missing_values.json file

This file includes all data gaps in a machine-readable format

Log files for the 1x1 and 3x3 sq. m green roof experiments

3x3 sq. m setup

EVENTS OVER THE PERIOD

09/24/2024 14:10-14:30 12:10-12:30UTC: Watering of the JIM roof

09/30/2024 15:00-15:10 13:00-13:10UTC: Watering of the JIM roof

10/17/2024 15:30-16:00 13:30-14:00UTC: Reboot of the PC and time reset on the Campbell central unit

10/31/2024 10:00-11:00 09:00-10:00UTC: Disconnection of the weight measurement system to install the 1m² roof

11/04/2024 10:30-12:00 09:30-11:00UTC: Verification of 10g trays of JIM, pluviometer and 1m² roof

no event in December

no event in January

02/06/2025: visit

02/13/2025 10:19:00: Time adjustment of control centers

02/25/2025: visit

02/26/2025: visit

03/26/2025: visit

RAW DATA

Sept/Oct: Only 2 minutes of data are missing in the raw dataset (10/17/2024 - 14:12 and 14:13UTC), likely due to intervention on the central unit that day. Maximum and minimum wind speeds have been filled by propagating the last recorded value. The mass of JIM, air temperature, humidity, wind speed, wind direction, solar radiation, evaporation, and Qt_tot were filled by linear interpolation. The two watering events explain the observed peaks in outflow from the roof on September 24 and 30. The disconnection of the weight measurement system on 10/31/2024 at 08:59 UTC caused a negative spike in weight tracking. This value was corrected, as the weights recorded in the minutes before and after were identical (at 956kg).

Nov: No minutes are missing in November.

The tips from November 4th for JIM and the pluviometer were erased.

Dec: No minutes are missing in December.

Jan: No minutes are missing in January.

Feb: No minutes are missing in February. A correction was made on 02/13/2025 at 10:19 on JIM’s weight, probably due to the synchronization of the control center. Since the points before and after were at 1037 kg, the point at 10:19 was also set to 1037 kg.

March: No minutes are missing in March.

1x1 sq. m setup

EVENTS OVER THE PERIOD

11/04/2024 14:15-15:30 13:15-14:30UTC: Verification of the rain gauge buckets and the 1x1 roof.

no event in December

no event in January

02/06/2025: visit

02/13/2025 10:19:00: Time adjustment of control centers

02/25/2025: visit

02/26/2025: visit

RAW DATA

Nov/Dec: No minutes are missing in November and December. The tips from November 4th for 1x1 and the pluviometer were erased.

Jan: No minutes are missing in January.

Feb: No minutes are missing in February.

March: No minutes are missing in March. A correction on the 1x1 weight was made on 03/26/2025 between 13:33 and 13:39. These weights were fixed at 156.6 kg due to some unusual values, probably caused by the visit.

Acknowledgements

The authors acknowledge financial support from the European Union under the Horizon 2020 program within a
contract for Integrating Activities for Starting Communities (Ref. 101008626).

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📈 Daily Historical Stock Price Data for Beacon Roofing Supply, Inc. (2004–2025)

A clean, ready-to-use dataset containing daily stock prices for Beacon Roofing Supply, Inc. from 2004-09-23 to 2025-04-29. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Beacon Roofing Supply, Inc. Ticker Symbol: BECN Date Range: 2004-09-23 to 2025-04-29 Frequency: Daily Total Records: 5183… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-beacon-roofing-supply-inc-20042025.

United States Avg Hourly Earnings: CO: ST: EC: Roofing Contractor data was reported at 25.990 USD in May 2018. This records an increase from the previous number of 25.710 USD for Apr 2018. United States Avg Hourly Earnings: CO: ST: EC: Roofing Contractor data is updated monthly, averaging 22.990 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 26.190 USD in Dec 2017 and a record low of 19.040 USD in May 2006. United States Avg Hourly Earnings: CO: ST: EC: Roofing Contractor data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.

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This dataset contains building, roofing, electrical, mechanical, demolition, and driveway issued permits for Douglas County. City-issued permits are not in this dataset.

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As of June 2019, these are the most current building roofprints for structures in Dukes County, MA. These roofprints were delineated from aerial photos by MassGIS and their subcontractor. The roofprints are not equivalent to footprints. See MassGIS for full methodolgy details. Roofprints can represent any structure (i.e. house, guest house, business, barn, shed, garage, etc). The MVC has also provided building centriods (produced from the roofprint polygon). All centroids were forced to be located within the roofprint polygon.The MVC also appended some assessor's data (or deduced some info from the assessor's data) for each roofprint centroid. The field of [Status] indicates if a parcel is owned by a Year-round ("YR") or Seasonal ("S") person. This deduction was made based on the owner's mailing address zip code. Off-island zip codes were assigned "S" seasonal and on-Island zip codes were assigned "YR" year-round. The field of [UseType] was deduced from the assessor's use code. "NR" - non residential; "R" - residential

VITAL SIGNS INDICATOR
Housing Permits (LU3)

FULL MEASURE NAME
Permitted housing units

LAST UPDATED
February 2023

DESCRIPTION
Housing growth is measured in terms of the number of units that local jurisdictions permit throughout a given year. A permitted unit is a unit that a city or county has authorized for construction.

DATA SOURCE
California Housing Foundation/Construction Industry Research Board (CIRB) - https://www.cirbreport.org/
Construction Review report (1967-2022)

Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) - https://data.bayareametro.gov/Development/HCD-Annual-Progress-Report-Jurisdiction-Summary/nxbj-gfv7
Housing Permits Database (2014-2021)

Census Bureau Building Permit Survey - https://www2.census.gov/econ/bps/County/
Building permits by county (annual, monthly)

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Bay Area housing permits data by single/multi family come from the California Housing Foundation/Construction Industry Research Board (CIRB). Affordability breakdowns from 2014 to 2021 come from the Association of Bay Area Governments (ABAG) – Metropolitan Transportation Commission (MTC) Housing Permits Database.

Single-family housing units include detached, semi-detached, row house and town house units. Row houses and town houses are included as single-family units when each unit is separated from the adjacent unit by an unbroken ground-to-roof party or fire wall. Condominiums are included as single-family units when they are of zero-lot-line or zero-property-line construction; when units are separated by an air space; or, when units are separated by an unbroken ground-to-roof party or fire wall. Multi-family housing includes duplexes, three-to-four-unit structures and apartment-type structures with five units or more. Multi-family also includes condominium units in structures of more than one living unit that do not meet the single-family housing definition.

Each multi-family unit is counted separately even though they may be in the same building. Total units is the sum of single-family and multi-family units. County data is available from 1967 whereas city data is available from 1990. City data is only available for incorporated cities and towns. All permits in unincorporated cities and towns are included under their respective county’s unincorporated total. Permit data is not available for years when the city or town was not incorporated.

Affordable housing is the total number of permitted units affordable to low and very low income households. Housing affordable to very low income households are households making below 50% of the area median income. Housing affordable to low income households are households making between 50% and 80% of the area median income. Housing affordable to moderate income households are households making below 80% and 120% of the area median income. Housing affordable to above moderate income households are households making above 120% of the area median income.

Permit data is missing for the following cities and years:
Clayton, 1990-2007
Lafayette, 1990-2007
Moraga, 1990-2007
Orinda, 1990-2007
San Ramon, 1990

Building permit data for metropolitan areas for each year is the sum of non-seasonally adjusted monthly estimates from the Census Building Permit Survey. The Bay Area values are the sum of the San Francisco-Oakland-Hayward MSA and the San Jose-Sunnyvale-Santa Clara MSA. The counties included in these areas are: San Francisco, Marin, Contra Costa, Alameda, San Mateo, Santa Clara, and San Benito.

Permit values reflect the number of units permitted in each respective year. Note that the data columns come from difference sources. The columns (SFunits, MFunits, TOTALunits, SF_Share and MF_Share) are sourced from CIRB. The columns (VeryLowunits, Lowunits, Moderateunits, AboveModerateunits, VeryLow_Share, Low_Share, Moderate_Share, AboveModerate_Share, Affordableunits and Affordableunits_Share) are sourced from the ABAG Housing Permits Database. Due to the slightly different methodologies that exist within each of those datasets, the total units from each of the two sources might not be consistent with each other.

As shown, three different data sources are used for this analysis of housing permits issued in the Bay Area. Data from the Construction Industry Research Board (CIRB) represents the best available data source for examining housing permits issued over time in cities and counties across the Bay Area, dating back to 1967. In recent years, Annual Progress Report (APR) data collected by the California Department of Housing and Community Development has been available for analyzing housing permits issued by affordability levels. Since CIRB data is only available for California jurisdictions, the U.S. Census Bureau provides the best data source for comparing housing permits issued across different metropolitan areas. Notably, annual permit totals for the Bay Area differ across these three data sources, reflecting the limitations of needing to use different data sources for different purposes.