The City of Port Adelaide Enfield Community Profile provides demographic and economic analysis for the Council area and its suburbs based on results from the 2016, 2011, 2006, 2001, 1996 and 1991 Censuses of Population and Housing. The profile is updated with population estimates when the Australian Bureau of Statistics (ABS) releases new figures. \r This is an interactive query tool where results can be downloaded in various formats. Three reporting types are available from this resource: \r 1. Social atlas that delivers the data displayed on a map showing each SA1 area (approx 200 households), \r 2. Community Profile which delivers data at a District level which contain 2 to 3 suburbs, and \r 3. Economic Profile which reports statistics of an economic indicators.\r The general community profile/social atlas themes available for reporting on are: \r -Age \r -Education \r -Ethnicity \r -Disability \r -Employment/Income \r -Household types \r -Indigenous profile \r -Migration \r -Journey to work \r -Disadvantage \r -Population Estimates \r -Building approvals. \r It also possible to navigate to the Community Profiles of some other Councils as well.

About this dataset

Context

The dataset tabulates the Au Gres median household income by race. The dataset can be utilized to understand the racial distribution of Au Gres income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Au Gres, MI median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Au Gres, MI (2021, in 2022 inflation-adjusted dollars)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Au Gres median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Eagle median household income by race. The dataset can be utilized to understand the racial distribution of Eagle income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Eagle, ID median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Eagle, ID (2021, in 2022 inflation-adjusted dollars)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Eagle median household income by race. You can refer the same here

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Australian Bureau of Statistics (ABS) Catalogue Number: 3218.0 Population Estimates by Local Government Area, 2011 to 2012.

Dataset History

ABS Catalogue Number 3218.0 Population Estimates by Local Government Area, 2011 to 2012.

This dataset was downloaded as a single spreadsheet file (.xls) on 29 May, 2014 from the following website: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3218.02011-12?OpenDocument

(Metadata taken from the Explanatory Notes section of the ABS website http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/3218.0Explanatory%20Notes12011-12?OpenDocument)

INTRODUCTION

1 This product contains estimates of the resident population of Statistical Areas Level 2 to 4 (SA2s - SA4s) and Greater Capital City Statistical Areas (GCCSAs) of Australia. These estimates plus those for Local Government Areas, Significant Urban Areas, Remoteness Areas and Electoral Divisions are also provided in the Downloads tab of this issue.

2 To meet the conflicting demands for accuracy and timeliness there are several versions of sub-state/territory population estimates. Preliminary estimates as at 30 June are normally available by April of the following year, revised estimates twelve months later and rebased and final estimates after the following Census. The estimates in this issue are preliminary rebased for 2011, based on the results of the 2011 Census, and preliminary for 2012.

For an ABS Glossary of Terms visit:

http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/2901.0Main%20Features12011

Dataset Citation

Australian Bureau of Statistics (2013) ABS Regional Population Growth Australia 2011-2012. Bioregional Assessment Source Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/c27fc127-3743-4805-b4b6-f50712cd655f.

Comprehensive demographic dataset for Pollock, ID, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

The digital Local Government Areas and their legal identifiers have been derived from the cadastre data from each Australian state and territory jurisdiction and are available below.

Local Government Areas are part of Geoscape Administrative Boundaries, which is built and maintained by Geoscape Australia using authoritative government data. Further information about contributors to Administrative Boundaries is available here.

The full Administrative Boundaries dataset comprises seven Geoscape products:

• Localities
• Local Government Areas (LGAs)
• Wards
• Australian Bureau of Statistics (ABS) Boundaries,
• Electoral Boundaries
• State Boundaries and
• Town Points

Updated versions of Administrative Boundaries are published on a quarterly basis.

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Notable changes in the August 2021 release

• The Localities, Local Government Areas and Wards products have been redesigned to provide a new flattened data model, offering a simpler, easier-to-use structure. This will also:
  • change the composition of identifiers in these products
  • provide state identifiers as an abbreviation (eg. NSW) rather than a code
  • remove the static SA “Hundreds” data from Localities
• More information on the changes to Localities, Local Government Areas and Wards is available here.
• The Australian Bureau of Statistics (ABS) Boundaries will be updated to include the 2021 Australian Statistical Geography Standard (ASGS).
• Further information on the August changes to Geoscape datasets is available here.

Further information on Administrative Boundaries, including FAQs on the data, is available here through Geoscape Australia’s network of partners. They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.

Note: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

License Information

The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 license.

Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).

Preferred attribution for Adapted Material:

Incorporates or developed using Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).

Comprehensive demographic dataset for Cocolalla, ID, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

The digital Local Government Areas and their legal identifiers have been derived from the cadastre data from each Australian state and territory jurisdiction and are available below.

Local Government Areas are part of Geoscape Administrative Boundaries, which is built and maintained by Geoscape Australia using authoritative government data. Further information about contributors to Administrative Boundaries is available here.

The full Administrative Boundaries dataset comprises seven Geoscape products:

• Localities
• Local Government Areas (LGAs)
• Wards
• Australian Bureau of Statistics (ABS) Boundaries,
• Electoral Boundaries
• State Boundaries and
• Town Points

Updated versions of Administrative Boundaries are published on a quarterly basis.

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Notable changes in the February 2023 release

• There have been spatial changes (area) greater than 1000 sqkm to the 'Shire of Boyup Brook', 'Shire of Donnybrook-Balingup' and 'City of Rockingham' Local Government Areas.

Further information on Administrative Boundaries, including FAQs on the data, is available here through Geoscape Australia’s network of partners. They provide a range of commercial products based on Administrative Boundaries, including software solutions, consultancy and support.

Note: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

License Information

The Australian Government has negotiated the release of Administrative Boundaries to the whole economy under an open CCBY 4.0 license.

Users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).

Preferred attribution for Adapted Material:

Incorporates or developed using Administrative Boundaries © Geoscape Australia licensed by the Commonwealth of Australia under Creative Commons Attribution 4.0 International licence (CC BY 4.0).

O Crédito Imobiliário na Austrália permaneceu inalterado em 0,60 por cento em outubro. Esta página inclui um gráfico com dados históricos para o Crédito Imobiliário na Austrália MoM.

Labour Costs in Australia increased to 112.60 points in the second quarter of 2025 from 111.80 points in the first quarter of 2025. This dataset provides - Australia Labour Costs - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

The dataset tabulates the Au Gres population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Au Gres. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 500 (53.76% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Au Gres population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Au Gres is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Au Gres is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Gres Population by Age. You can refer the same here

Abstract

The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey - a partnership between Facebook, OECD, and The World Bank - provides a timely pulse on the economic environment in which businesses operate and who those businesses are to help inform decision-making at all levels and to deliver insights that can help businesses grow. The Future of Business Survey provides a perspective from newer and long-standing digitalized businesses and provides a unique window into a new mobilized economy.

Policymakers, researchers and businesses share a common interest in the environment in which SMEs operate, as well their outlook on the future, not least because young and innovative SMEs in particular are often an important source of considerable economic and employment growth. Better insights and timely information about SMEs improve our understanding of economic trends, and can provide new insights that can further stimulate and help these businesses grow.

To help provide these insights, Facebook, OECD and The World Bank have collaborated to develop a monthly survey that attempts to improve our understanding of SMEs in a timely and forward-looking manner. The three organizations share a desire to create new ways to hear from businesses and help them succeed in the emerging digitally-connected economy. The shared goal is to help policymakers, researchers, and businesses better understand business sentiment, and to leverage a digital platform to provide a unique source of information to complement existing indicators.

With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Geographic coverage

Argentina Australia Belgium Brazil Canada Colombia Egypt France Germany Ghana India Indonesia Ireland Israel Italy Kenya Mexico Nigeria Pakistan Philippines (the) Poland Portugal Russian Federation (the) South Africa Spain Taiwan Turkey United Kingdom of Great Britain and Northern Ireland (the) United States of America (the) Viet Nam

Analysis unit

The study describes small and medium-sized enterprises.

Universe

The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

Twice a year in over 97 countries, the Facebook Survey Team sends the Future of Business to admins and owners of Facebook-designated small business pages. When we share data from this survey, we anonymize responses to all survey questions and only share country-level data publicly. To achieve better representation of the broader small business population, we also weight our results based on known characteristics of the Facebook Page admin population.

A random sample of firms, representing the target population in each country, is selected to respond to the Future of Business Survey each month.

Mode of data collection

Internet [int]

Research instrument

The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download.

Response rate

Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design.

Note: Response rates are calculated as the number of respondents who completed the survey divided by the total number of SMEs invited.

Sampling error estimates

Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy:

Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.

Other factors beyond sampling error that contribute to such potential differences are frame or coverage error (sampling frame of page owners does not include all relevant businesses but also may include individuals that don't represent businesses), and nonresponse error.

Note that the sample is meant to reflect the population of businesses on Facebook, not the population of small businesses in general. This group of digitized SMEs is itself a community worthy of deeper consideration and of considerable policy interest. However, care should be taken when extrapolating to the population of SMEs in general. Moreover, future work should evaluate the external validity of the sample. Particularly, respondents should be compared to the broader population of SMEs on Facebook, and the economy as a whole.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Au Sable town by race. It includes the distribution of the Non-Hispanic population of Au Sable town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Au Sable town across relevant racial categories.

Key observations

Of the Non-Hispanic population in Au Sable town, the largest racial group is White alone with a population of 2,955 (96.70% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Au Sable town
• Population: The population of the racial category (for Non-Hispanic) in the Au Sable town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Au Sable town total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Au Sable town Population by Race & Ethnicity. You can refer the same here

根据最新的人口普查数据和Trading Economics的预测，2024年澳大利亚的总人口估计为2740万人。 本页面提供 - 澳大利亚人口 - 实际数值、历史数据、预测、图表、统计数据、经济日历和新闻。

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Sandpoint: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 100(2.66%) households where the householder is under 25 years old, 1,228(32.69%) households with a householder aged between 25 and 44 years, 1,413(37.61%) households with a householder aged between 45 and 64 years, and 1,016(27.04%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Sandpoint, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sandpoint median household income by age. You can refer the same here

Australia State: Public Non Financial Corp: Cash Flows: Operating Activities: Receipts data was reported at 70,306.000 AUD mn in 2017. This records a decrease from the previous number of 70,374.000 AUD mn for 2016. Australia State: Public Non Financial Corp: Cash Flows: Operating Activities: Receipts data is updated yearly, averaging 68,159.000 AUD mn from Jun 2004 (Median) to 2017, with 13 observations. The data reached an all-time high of 70,893.000 AUD mn in 2014 and a record low of 40,632.000 AUD mn in 2004. Australia State: Public Non Financial Corp: Cash Flows: Operating Activities: Receipts data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.F105: SNA08: State and Local Government: Cash Flows Statement: Public Non Financial Corporations (Discontinued). Changed from GFSM 2014 to AGFS15. Replacement series ID: 414181657

About this dataset

Context

The dataset tabulates the Valley County household income by gender. The dataset can be utilized to understand the gender-based income distribution of Valley County income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Valley County, ID annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Valley County, ID annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Valley County income distribution by gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Idaho Falls median household income by race. The dataset can be utilized to understand the racial distribution of Idaho Falls income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Idaho Falls, ID median household income breakdown by race betwen 2012 and 2022
• Median Household Income by Racial Categories in Idaho Falls, ID (2022)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Idaho Falls median household income by race. You can refer the same here

PPI: Final: Construction: Government data was reported at 123.400 Nov2009=100 in Oct 2018. This records an increase from the previous number of 120.900 Nov2009=100 for Sep 2018. PPI: Final: Construction: Government data is updated monthly, averaging 110.600 Nov2009=100 from Nov 2009 (Median) to Oct 2018, with 108 observations. The data reached an all-time high of 123.400 Nov2009=100 in Oct 2018 and a record low of 100.000 Nov2009=100 in Dec 2009. PPI: Final: Construction: Government data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I019: Producer Price Index: FD-ID System: Final Demand.