The U.S. economy steamed into its second year of recovery, with little perceptible reacceleration in inflation. In the first quarter of 1984, gains in employment and production accelerated at near-record rates; new-auto sales rose to their highest levels since 1979; and housing starts reached their highest rates since 1978. Indirect evidence of the recovery’s strength was equally impressive. Supply shortages cropped up, which is unusual for so early in a recovery. Even some of the troubled smokestack industries reported, or expect to report, profits in 1984.

The table 1984 Economic Development Survey is part of the dataset Economic Development Survey, available at https://stanford.redivis.com/datasets/62h7-ac4qhzm2p. It contains 1092 rows across 155 variables.

Vehicle fuel economy data, including MPG, EV range (where applicable), engine stats and more from US Dept of Energy

[Original Data](urlhttps://data.world/project-data-viz/vehicle-mpg-1984-to-2023-pdv-02-2023

Acknowlegement

Foto von Ivana Cajina auf Unsplash

Historical dataset showing Isle of Man economic growth by year from 1984 to 2021.

This survey explores what U.S. respondents feel should be given priority: environmental protection or economic growth. In 2018, ** percent of respondents felt that economic growth in the U.S. should definitely be given priority.

The National Income and Product Accounts (NIPA) are produced by the Bureau of Economic Analysis. The NIPAs show the composition of production and the distribution of incomes earned in production. Thus, they represent a critical element of the U.S. economic accounts, which are designed to provide a consistent and comprehensive picture of the Nation’s economy. The NIPAs feature several widely followed measures of aggregate U.S. economic activity, including gross domestic product (GDP), gross domestic income (GDI), personal income, and personal saving among others. (A Guide to National Income and Product Accounts of the United States)

This dataset contains United State vehicle fuel economy data starting from 1984. Data from Fuel Economy.GOV. .Follow datasource.kapsarc.org for timely data to advance energy economics research. For data description please visit this link (fueleconomy.gov).

Take a ride through time with this comprehensive dataset, offering insights into United States vehicle fuel economy from 1984 to the present day. Sourced from Fuel Economy.GOV, this dataset tracks the evolution of vehicle fuel efficiency, providing a wealth of information for researchers, policymakers, and data enthusiasts. Dive into the world of automotive energy efficiency and discover how vehicles on U.S. roads have evolved to be more environmentally friendly and economically sustainable.

How it can be used:

Researchers and analysts can leverage this dataset to examine the trends and changes in vehicle fuel economy over the years. This information is vital for understanding the environmental impact of transportation and guiding policy decisions aimed at promoting energy-efficient vehicles. Policymakers and industry stakeholders can use this data to set benchmarks, establish regulations, and promote the adoption of fuel-efficient technologies. Additionally, it serves as a valuable resource for advancing research in the field of energy economics and sustainable transportation.

This survey is part of a continuing series designed to monitor trends in a wide range of social attitudes in Great Britain. The British Social Attitudes Survey (BSA) is similar in purpose to the General Social Survey carried out by the National Opinion Research Center (NORC) in the United States. The BSA questionnaire had two parts, one administered by an interviewer and the other completed by the respondent. As in the past, the 1984 interview questionnaire contained a number of "core" questions covering the major topic areas of defense, the economy, labor market participation, and the welfare state. The 1984 self-enumerated questionnaire was devoted to a series of questions on a range of social, economic, political, and moral issues. Topics that received attention include: (1) media, politics, and international affairs, (2) economic expectations and evaluations and labor market participation, (3) social expenditure, welfare state issues, the National Health Service, and education, and (4) social class, religion, racial prejudice, gender issues, and public and private morality. Additional demographic data gathered included age, gender, education, occupation, household income, marital status, social class, and religious and political affiliations.

This table contains 126 series, with data for years 1976 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Economic use groups (7 items: Canada, total; Durable goods; Non-durable goods; Machinery and equipment; ...), Manufacturers' opinions (18 items: Expected production, higher; Expected production, lower; Expected production, about the same; New orders level, rising; ...).

United States Household Income: Florida data was reported at 53,681.000 USD in 2017. This records an increase from the previous number of 51,176.000 USD for 2016. United States Household Income: Florida data is updated yearly, averaging 37,222.500 USD from Mar 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 53,681.000 USD in 2017 and a record low of 19,785.000 USD in 1984. United States Household Income: Florida data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H048: Household Income: by State.

Bangladesh GDP: 1984-85p: Industry data was reported at 97,185.000 BDT mn in 2001. This records an increase from the previous number of 89,170.000 BDT mn for 2000. Bangladesh GDP: 1984-85p: Industry data is updated yearly, averaging 72,823.000 BDT mn from Jun 1991 (Median) to 2001, with 11 observations. The data reached an all-time high of 97,185.000 BDT mn in 2001 and a record low of 50,423.000 BDT mn in 1991. Bangladesh GDP: 1984-85p: Industry data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics . The data is categorized under Global Database’s Bangladesh – Table BD.A014: SNA68: GDP by Industry: 1984-85 Price.

Bangladesh GDP: 1984-85p: Trade Services data was reported at 88,775.000 BDT mn in 2001. This records an increase from the previous number of 82,123.000 BDT mn for 2000. Bangladesh GDP: 1984-85p: Trade Services data is updated yearly, averaging 50,631.000 BDT mn from Jun 1985 (Median) to 2001, with 17 observations. The data reached an all-time high of 88,775.000 BDT mn in 2001 and a record low of 38,816.000 BDT mn in 1985. Bangladesh GDP: 1984-85p: Trade Services data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics . The data is categorized under Global Database’s Bangladesh – Table BD.A014: SNA68: GDP by Industry: 1984-85 Price.

Historical dataset showing Lao PDR economic growth by year from 1984 to 2023.

United States Household Income: Mississippi data was reported at 43,441.000 USD in 2017. This records an increase from the previous number of 41,099.000 USD for 2016. United States Household Income: Mississippi data is updated yearly, averaging 31,610.000 USD from Mar 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 43,441.000 USD in 2017 and a record low of 15,430.000 USD in 1984. United States Household Income: Mississippi data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.H048: Household Income: by State.

Mode of data collection

Face-to-face [f2f]

This data collection was designed to address problems of crime as a barrier to the economic health of three outlying commercial centers of New York City: Brooklyn, Fordham Road in the Bronx, and Jamaica Center in Queens. Included in the survey are variables concerning the respondent's age, race, gender, family income, length of residence, and personal victimization experience. Also included are variables pertaining to perceptions of safety, physical disorder in the area, and source of information about crime in the commercial center.

Abstract

Introduction

The Annual Survey of Industries (ASI) is the principal source of industrial statistics in India. It provides statistical information to assess changes in the growth, composition and structure of organised manufacturing sector comprising activities related to manufacturing processes, repair services, gas and water supply and cold storage. Industrial sector occupies an important position in the State economy and has a pivotal role to play in the rapid and balanced economic development. The Survey is conducted annually under the statutory provisions of the Collection of Statistics Act 1953, and the Rules framed there-under in 1959, except in the State of Jammu & Kashmir where it is conducted under the State Collection of Statistics Act, 1961 and the rules framed there-under in 1964.

Geographic coverage

Coverage of the Annual Survey of Industries extends to the entire Factory Sector, comprising industrial units (called factories) registered under section 2(m)(i) and 2(m)(ii) of the Factories Act.1948, wherein a "Factory", which is the primary statistical unit of enumeration for the ASI is defined as:- "Any premises" including the precincts thereof:- (i) wherein ten or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on with the aid of power or is ordinarily so carried on, or (ii) wherein twenty or more workers are working or were working on any day of the preceding twelve months, and in any part of which a manufacturing process is being carried on without the aid of power. In addition to section 2(m)(i) & 2(m)(ii) of the Factories Act, 1948, electricity units registered with the Central Electricity Authority and Bidi & Cigar units, registered under the Bidi & Cigar Workers (Conditions of Employment) Act,1966 are also covered in ASI.

Analysis unit

The primary unit of enumeration in the survey is a factory in the case of manufacturing industries, a workshop in the case of repair services, an undertaking or a licensee in the case of electricity, gas & water supply undertakings and an establishment in the case of bidi & cigar industries. The owner of two or more establishments located in the same State and pertaining to the same industry group and belonging to same scheme (census or sample) is, however, permitted to furnish a single consolidated return. Such consolidated returns are common feature in the case of bidi and cigar establishments, electricity and certain public sector undertakings.

Universe

The survey cover factories registered under the Factory Act 1948. Establishments under the control of the Defence Ministry,oil storage and distribution units, restaurants and cafes and technical training institutions not producing anything for sale or exchange were kept outside the coverage of the ASI.

Kind of data

Census and Sample survey data [cen/ssd]

Sampling procedure

Sampling Procedure

All the factories in the updated frame (universe) are divided into two sectors, viz., Census and Sample.

Census Sector: Census Sector is defined as follows:

a) All industrial units belonging to the 12 less industrially developed states/ UT's viz. Goa, Himachal Pradesh, J & K, Manipur, Meghalaya, Nagaland, Tripura, Andaman & Nicobar Islands, Chandigarh, Dadra & Nagar Haveli, Daman & diu and Pondicherry were completely enumerated every year along with census units.

b) For the rest of the states/ UT's., (i) units having 50 or more workers and using power or 100 or more workers without using power and all electricity undertakings. (ii) all the industry groups for which the total number of units did not exceed 50 at all-India level

c) Remaining units, excluding those of Census Sector, called the sample sector, was covered in two consecutive years (50% samples in alternate years). The sampling strategy was stratified uni-stage with State X NIC 3 digit as stratum. The strata were formed by grouping factories within each State/UT by the industry group at the ultimate digit level of NIC. Thus in each state, each indutry group constitutes a stratum. Within each stratum the districts were first arranged in ascending order of district codes and within each district the factories were then listed in descending order of their employment size. The factories within each stratum having been arranged in the above manner were allotted a running serial number. Factories with odd serial numbers were surveyd in the first year and those with even numbers in the second year of a cycle of two years.

Sampling deviation

There was no deviation from sample design in ASI 1984-85.

Mode of data collection

Statutory return submitted by factories as well as Face to face

Research instrument

Annual Survey of Industries 1984-85 Questionnaire is divided into different blocks : (However only Summarised data is available for processing and analysis). The Summary Results are based on the information provided in the Summary block pf ASI survey schedule. Therefore, there is only on data file in ASI Summary 1984-85. Record Layout of the merged file is provided.

Cleaning operations

Pre-data entry scrutiny was carried out on the schedules for inter and intra block consistency checks. Such editing was mostly manual, although some editing was automatic. But, for major inconsistencies, the schedules were referred back to NSSO (FOD) for clarifications/modifications.

Code list, State code list, NIC 70, NIC 87, Concordance Table and ASICC code may be refered in the External Resources which are used for editing and data processing as well..

Sampling error estimates

Relative Standard Error (RSE) is calculated in terms of worker, wages to worker and GVA using the formula. Programs developed in Visual Foxpro are used to compute the RSE of estimates.

Data appraisal

To check for consistency and reliability of data the same are compared with the NIC-2digit level growth rate at all India Index of Production (IIP) and the growth rates obtained from the National Accounts Statistics at current and constant prices for the registered manufacturing sector.

The Gross Domestic Product (GDP) in Laos was worth 16.50 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Laos represents 0.02 percent of the world economy. This dataset provides the latest reported value for - Laos GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.