This dataset is the current 2025 Harmonized Tariff Schedule plus all revisions for the current year. It provides the applicable tariff rates and statistical categories for all merchandise imported into the United States; it is based on the international Harmonized System, the global system of nomenclature that is used to describe most world trade in goods.

This dataset is the current 2024 Harmonized Tariff Schedule plus all revisions for the current year. It provides the applicable tariff rates and statistical categories for all merchandise imported into the United States; it is based on the international Harmonized System, the global system of nomenclature that is used to describe most world trade in goods.

Household Travel Survey (HTS) is the most comprehensive source of personal travel data for the Sydney Greater Metropolitan Area (GMA). This data explores average weekday travel patterns for residents in Sydney GMA.

The Household Travel Survey (HTS) collects information on personal travel behaviour. The study area for the survey is the Sydney Greater Metropolitan Area (GMA) which includes Sydney Greater Capital City Statistical Area (GCCSA), parts of Illawarra and Hunter regions. All residents of occupied private dwellings within the Sydney GMA are considered within scope of the survey and are randomly selected to participate. The HTS has been running continuously since 1997/981 and collects data for all days through the year – including during school and public holidays.

Typically, approximately 2,000-3,000 households participate in the survey annually. Data is collected on all trips made over a 24-hour period by all members of the participating households.

Annual estimates from the HTS are usually produced on a rolling basis using multiple years of pooled data for each reporting year2. All estimates are weighted to the Australian Bureau of Statistics’ Estimated Resident Population, corresponding to the year of collection3. Unless otherwise stated, all reported estimates are for an average weekday.

Due to disruptions in data collection resulting from the lockdowns during the COVID-19 pandemic, post-COVID releases of HTS data are based on a lower sample size than previous HTS releases. To ensure integrity of the results and mitigate risk of sampling errors some post-COVID results have been reported differently to previous years. Please see below for more information on changes to HTS post-COVID (2020/21 onwards).

1. Data collection for the HTS was suspended during lock-down periods announced by the NSW Government due to COVID-19.

2. Exceptions apply to the estimates for 2020/21 which are based on a single year of sample as it was decided not to pool the sample with data collected pre-COVID-19.

3. HTS population estimates are also slightly lower than those reported in the ABS census as the survey excludes overseas visitors and those in non-private dwellings.

Changes to HTS post-COVID (2020/21 onwards)

HTS was suspended from late March 2020 to early October 2020 due to the impact and restrictions of COVID-19, and again from July 2021 to October 2021 following the Delta wave of COVID-19. Consequently, both the 2020/21 and 2021/22 releases are based on a reduced data collection period and smaller samples.

Due to the impact of changed travel behaviours resulting from COVID-19 breaking previous trends, HTS releases since 2020/21 have been separated from pre-COVID-19 samples when pooled. As a result, HTS 2020/21 was based on a single wave of data collection which limited the breadth of geography available for release. Subsequent releases are based on pooled post-COVID samples to expand the geographies included with reliable estimates.

Disruption to the data collection during, and post-COVID has led to some adjustments being made to the HTS estimates released post-COVID:

SA3 level data has not been released for 2020/21 and 2021/22 due to low sample collection. LGA level data for 2021/22 has been released for selected LGAs when robust Relative Standard Error (RSE) for total trips are achieved Mode categories for all geographies are aggregated differently to the pre-COVID categories Purpose categories for some geographies are aggregated differently across 2020/21 and 2021/22. A new data release – for six cities as defined by the Greater Sydney Commission - is included since 2021/22. Please refer to the Data Document for 2022/23 (PDF, 262.54 KB) for further details.

RELEASE NOTE

The latest release of HTS data is 15 May 2025. This release includes Region, LGA, SA3 and Six Cities data for 2023/24. Please see 2023/24 Data Document for details.

A revised dataset for LGAs and Six Cities for HTS 2022/23 data has also been included in this release on 15 May 2025. If you have downloaded HTS 2022/23 data by LGA and/or Six Cities from this link prior to 15/05/2025, we advise you replace it with the revised tables. If you have been supplied bespoke data tables for 2022/23 LGAs and/or Six Cities, please request updated tables.

Revisions to HTS data may be made on previously published data as new sample data is appended to improve reliability of results. Please check this page for release dates to ensure you are using the most current version or create a subscription (https://opendata.transport.nsw.gov.au/subscriptions) to be notified of revisions and future releases.

Graph and download economic data for All Employees: Government: Local Government in Chicago-Naperville-Arlington Heights, IL (MD) (SMU17169749093000001) from Jan 1990 to Dec 2024 about local govt, Chicago, IL, government, employment, and USA.

This data set provides a count and percentage of the gender of individuals sampled in obtaining data for the ACT Household Travel Survey.

This data set provides a rate of trips taken by individuals sampled in obtaining data for the ACT Household Travel Survey. The data is categorised by age and gender.

A trip is defined as the travel between two main activities, where a stop may constitute a change in transport mode. As an example: driving from home to a park and ride facility, then catching a bus to an interchange, then walking to a shop to purchase an item and finally walking to work is comprised of 4 ‘stops’ and two ‘trips’.

Note: This data represents travel and activity on an average weekday. Total trip rate includes ‘other/not stated’ gender respondents.

All Employees: Government: State Government in Chicago-Naperville-Arlington Heights, IL (MD) was 43.83001 Thous. of Persons in December of 2024, according to the United States Federal Reserve. Historically, All Employees: Government: State Government in Chicago-Naperville-Arlington Heights, IL (MD) reached a record high of 51.60366 in August of 1997 and a record low of 40.24387 in December of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Government: State Government in Chicago-Naperville-Arlington Heights, IL (MD) - last updated from the United States Federal Reserve on July of 2025.

This data set provides a count and percentage of gross weekly income ranges of households sampled in obtaining data for the ACT Household Travel Survey.

Spot Heights are identified as two types. Type 1 were observed photogrammetrically and were captured for mapping purposes for the 1:25000 series maps and placed where necessary to depict topography not clearly shown by contours. Also used to indicate high points (hill tops), saddles and low points in depressions. Type 2 were generated by interpolation and were strictly used for DEM generation purposes.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

Rainfall and Stream Height gauges owned by Brisbane City Council. This dataset contains the details for the telemetry sensors.

Council installs and maintains telemetry gauges at various locations across Brisbane as part of its hydrometric network. These gauges form part of the Bureau of Meteorology Flood Warning Network. This Brisbane City Council gauge information (raw data) is passed onto the Bureau of Meteorology which they display on their public website via various interfaces.

The hydrometric gauges:

• collect real-time information on water levels and rainfall
• provide information to trigger flood alerts and warnings
• provide information to trigger flooded road signage/flashing lights
• provide historic flood information for use in hydrology and hydraulic modelling.

The Data and resources section of this dataset contains further information for this dataset.

All Employees: State Government in Chicago-Naperville-Arlington Heights, IL (MD) was 42.50000 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, All Employees: State Government in Chicago-Naperville-Arlington Heights, IL (MD) reached a record high of 50.50000 in January of 1997 and a record low of 41.50000 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: State Government in Chicago-Naperville-Arlington Heights, IL (MD) - last updated from the United States Federal Reserve on July of 2025.

All Employees: Federal Government: U.S. Postal Service in Chicago-Naperville-Arlington Heights, IL (MD) was 17.40000 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, All Employees: Federal Government: U.S. Postal Service in Chicago-Naperville-Arlington Heights, IL (MD) reached a record high of 31.70000 in January of 1995 and a record low of 17.30000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Federal Government: U.S. Postal Service in Chicago-Naperville-Arlington Heights, IL (MD) - last updated from the United States Federal Reserve on July of 2025.

The Household Travel Survey (HTS) collects information on personal travel behaviour. The study area is the Sydney Greater Metropolitan Area (GMA) and forms the geographic scope of the survey. The area covered by the GMA includes Sydney, Illawarra and the Hunter. All residents of occupied private dwellings within this area are considered in scope of the survey and are randomly selected to participate.

The HTS is conducted every day of the year and has been running continuously since 1997/98. Each year approx. 5,000 households are selected to participate. Data is collected on all trips made over a 24-hour period. Surveys are conducted using face-to-face interviews and each member of the household is included.

HTS data is available by Region, Statistical Area Level 3 (SA3) or Local Government Area (LGA). LGA Data is only available from 2016/17 onwards.

This data set provides a count and percentage of trips categorised by method of transport. This data is obtained from individuals sampled in obtaining data for the ACT Household Travel Survey.

A trip is defined as the travel between two main activities, where a stop may constitute a change in transport mode. As an example: driving from home to a park and ride facility, then catching a bus to an interchange, then walking to a shop to purchase an item and finally walking to work is comprised of 4 ‘stops’ and two ‘trips’.

Note: This data represents travel and activity on an average weekday. The main method of travel across a trip is used to classify trip types.

The Buildings (BG) layer consists of photogrammetrically interpreted polygons representing roof outlines of manmade structures in Jefferson County, Kentucky in Spring of 2016. A building is a manmade structure which may be habitable by human beings, animals or which stores materials and is at a minimum 10' x 10' in roof surface area. A building may house a variety of activities at one time, or sequentially over its life. A building may also sit vacant, be in a partial state of destruction, or construction. A feature classified as building but not having a roof (silo, tank or water tower) will show outline of the features shape. View detailed metadata.

Information on Building Height Attributes:

• Minimum Height – Feet: Minimum Height Feet calculated from Z_Max height (feet)
  
• Maximum Height – Feet: Maximum Height Meters calculated from Z_Max height (feet)
  
• Average Height – Feet: Average Height Feet calculated from Z_Max height (feet)
  
• SArea or Surface_Area: 3D surface area for the region defined by each polygon.
  
• Min_Slope: Slope value closest to zero within the area defined by the polygon.
  
• Max_Slope: Highest slope value along the line or within the area defined by the polygon.
  
• Avg_slope - Average slope value within the area defined by the polygon.
  
• Maximum Height Meters - Max Height Meters calculated from Z_Max height (feet)

This data set provides a rate of 'trips' taken by individuals sampled in obtaining data for the ACT Household Travel Survey. The data is categorised hourly aside from 1AM – 4AM which is a single category. A trip is defined as the travel between two main activities, where a stop may constitute a change in transport mode. As an example: driving from home to a park and ride facility, then catching a bus to an interchange, then walking to a shop to purchase an item and finally walking to work is comprised of 4 ‘stops’ and two ‘trips’. Note: This data represents travel and activity on an average weekday.

Get aggregate data on Working at Heights training programs approved by the Chief Prevention Officer.

Data includes:

• program type (full or refresher)
• total approved programs
• number of unique training providers
• successful completions

Additional information about training for working at heights can be located here.

*[O.Reg]: Ontario Regulation *[WAH]: Working at Heights

Travel behaviour of all residents of 1,948 randomly selected households in Cairns during 1986.

This data set provides the occupancy of all vehicles sampled in obtaining data for the ACT Household Travel Survey. The data is categorised based on the cause of the vehicle stop. A trip is defined as the travel between two main activities, where a stop may constitute a change in transport mode. As an example: driving from home to a park and ride facility, then catching a bus to an interchange, then walking to a shop to purchase an item and finally walking to work is comprised of 4 ‘stops’ and two ‘trips’. Note: This data represents travel and activity on an average weekday.

Travel behaviour of all residents of 2,434 randomly selected households on the Gold Coast during 1978.