The ctd MOCNESS-1 data were collected during the RHB0603 cruise in the Sargasso Sea from April 10 to April 30, 2006 and during the PS24_1 off the Atlantic coast of Africa from November 5 to November 21, 2007. The MOCNESS-1 has nine rectangular nets (1m x 1.4 m) which are opened and closed sequentially by commands through conducting cable from the surface (Wiebe et al., 1976). The underwater unit sends a data frame, comprised of temperature, depth, conductivity, net-frame angle, flow count, time, number of open net, and net opening/closing, to the deck unit in a compressed hexadecimal format every 2 seconds and from the deck unit to a microcomputer every 4 seconds. Temperature (to approximately 0.01 deg C) and conductivity are measured with SEABIRD sensors. In addition, data were collected from three other sensors attached to the frame: the Transmissometer, the Fluorometer, and the Downwelling light sensor. A SeaBird underwater pump was also included in the sensor suite.

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission to represent the United States Census Bureau's 2000 Decennial Census at the block group geography.Attributes:FIPSSTCO = The Federal Information Processing Series (FIPS) state and county codes. FIPS codes were formerly known as Federal Information Processing Standards codes, until the National Institute of Standards and Technology (NIST) announced its decision in 2005 to remove geographic entity codes from its oversight. The Census Bureau continues to maintain and issue codes for geographic entities covered under FIPS oversight, albeit with a revised meaning for the FIPS acronym. Geographic entities covered under FIPS include states, counties, congressional districts, core based statistical areas, places, county subdivisions, subminor civil divisions, consolidated cities, and all types of American Indian, Alaska Native, and Native Hawaiian areas. FIPS codes are assigned alphabetically according to the name of the geographic entity and may change to maintain alphabetic sort when new entities are created or names change. FIPS codes for specific geographic entity types are usually unique within the next highest level of geographic entity with which a nesting relationship exists. For example, FIPS state, congressional district, and core based statistical area codes are unique within nation; FIPS county, place, county subdivision, and subminor civil division codes are unique within state. The codes for American Indian, Alaska Native, and Native Hawaiian areas also are unique within state; those areas in multiple states will have different codes for each state.TRACT = Census Tract Codes and Numbers. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.GROUP_ = Block Group Codes. Block Groups have a valid code range of 0 through 9. Block Groups beginning with a zero only contain water area and are generally in coastal and Great Lakes water and territorial seas, but also in larger inland water bodies. STFID = A concatenation of FIPSSTCO, TRACT, and GROUP_, which creates the entire FIPS code for this geography.POP100 = The population of the Block Group at the time of the census.HU100 = The number of housing units in the Block group at the time of the census.WFD = Workforce Development Area (WFD) is a seven-county area created by agreement of county chief-elected officials, administered by the Atlanta Regional Commission and funded for training and employment activities under the federal Workforce Investment Act (WIA). For more information on ARC’s Workforce Development programs and services please consult www.atlantaregional.com/workforce/workforce.html.RDC_AAA = ARC Area Agency on Aging is a 10-county area funded by the Department of Human Resources and designated by the Older Americans Act to plan for the needs of the rapidly expanding group of older citizens in the Atlanta region. It is part of a statewide network of 12 AAAs and a national network of more than 670 AAAs. For more information on aging services please consult www.agewiseconnection.com.MNGWPD = The Metro North Georgia Water Planning District provides water resource plans, policies and coordination for metropolitan Atlanta. The District has developed regional plans for stormwater management, wastewater treatment and water supply and water conservation. The 15-county Water Planning District includes the ten counties in the ARC plus five additional counties (Bartow, Coweta, Forsyth, Hall, & Paulding). For more information please consult www.northgeorgiawater.org. MPO = The Metropolitan Planning Organization (MPO) is a 19-county area federally-designated for regional transportation planning to meet air quality standards and for programming projects to implement the adopted Regional Transportation Plan (RTP). The MPO planning area boundary includes the 10-county state-designated Regional Commission and nine additional counties (all of Coweta, Forsyth, & Paulding and parts of Barrow, Dawson, Newton, Pike, Spalding and Walton). This boundary takes into consideration both the current urbanized area as well as areas forecast to become urbanized in the next 20 years.MSA = the 29-County “Atlanta-Sandy Springs-Roswell, GA” Metropolitan Statistical Area (MSA) and the 39-county “Atlanta--Athens-Clarke County--Sandy Springs, GA” Combined Statistical Area (CSA), which includes the 29 counties of the Atlanta MSA along with the Athens-Clarke County and Gainesville MSAs and the micropolitan statistical areas of Calhoun, Cedartown, Jefferson, LaGrange and Thomaston, GA. The U.S. Office of Management and Budget (OMB) defines CSAs, MSAs and the smaller micropolitan statistical areas nationwide according to published standards applied to U.S. Census Bureau data. These various statistical areas describe substantial core areas of population together with adjacent communities having a high degree of economic and social integration, often illustrated in high rates of commuting from the adjacent areas to job locations in the core. For more information, please consult http://www.census.gov/population/metro/data/metrodef.htmlF1HR_NA = The Federal 1-Hour Air Quality Non-Attainment Area is a fine particulate matter standard (PM2.5). The non-attainment area under this standard includes the 15-county eight-hour ozone nonattainment area plus Barrow, Carroll, Hall, Spalding, Walton, and small parts of Heard and Putnam counties.F8HR_NA: The Federal 8-Hour Air Quality Non-Attainment Area for the 2008 eight-hour ozone standard is 15 counties.ACRES = The number of acres contained within the Block Group.SQ_MILES = The number of square miles contained within the Block Group.Source: United States Census Bureau, Atlanta Regional CommissionDate: 2000For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.

This is the number of pupils eligible for and claiming free school meals (FSM) as a percentage of all pupils. This includes state-funded nurseries, state-funded primary schools, state-funded secondary schools, Pupil referral units (PRUs), state-funded special schools and non-maintained special schools. General hospital schools are excluded. This includes full time and part time pupils who are sole or dual main registrations, boarding pupils, and pupils registered with other providers and further education colleges. The information is based on data collected via the pupil level spring school census, school level annual school census, general hospital schools census and alternative provision census.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Abstract

The Labour Force Survey (LFS) is a study of the employment circumstances of the UK population. It is the largest household study in the UK and provides the official measures of employment and unemployment.The first Labour Force Survey (LFS) in the United Kingdom was conducted in 1973, under the terms of a Regulation derived from the Treaty of Rome. The provision of information for the Statistical Office of the European Communities (SOEC) continued to be one of the reasons for carrying out the survey on an annual basis. SOEC co-ordinated information from labour force surveys in the member states in order to assist the EC in such matters as the allocation of the Social Fund. The survey was carried out biennially from 1973 to 1983 and was increasingly used by UK government departments to obtain information which would assist in the framing of social and economic policy. By 1983 it was being used by the Employment Department (now the Department for Work and Pensions) to obtain information which was not available from other sources or was only available for Census years. From 1984 the survey was carried out annually, and since that time the LFS has consisted of two elements:

• a quarterly survey conducted in Great Britain throughout the year, in which each sampled address was called on five times at quarterly intervals, and which yielded about 15,000 responding households in every quarter;
• a 'boost' survey in the spring quarter (March-May), which produced interviews at over 44,000 households in Great Britain and over 4,000 households in Northern Ireland.

Users should note that only the data from the spring quarter and the 'boost' survey were included in the annual datasets for public release, and that only data from 1975-1991 are available from the UK Data Archive. The depositor recommends only considered use of data for 1975 and 1977 (SNs 1757 and 1758), as the concepts behind the definitions of economic activity changed and are not comparable with later years. Also the survey methodology was being developed at the time and so the estimates may not be reliable enough to use.

During 1991 the survey was developed, so that from spring 1992 the data were made available quarterly, with a quarterly sample size approximately equivalent to that of the previous annual data. The Quarterly Labour Force Survey series therefore superseded the annual LFS series, and is held at the Data Archive under GN 33246.

The study is being conducted by the Office for National Statistics (ONS), the government's largest producer of statistics. They compile independent information about the UK's society and economy which provides evidence for policy and decision making, and for directing resources to where they are needed most. The ten-yearly census, measures of inflation, the National Accounts, and population and migration statistics are some of our highest-profile outputs.

Geographic coverage

The whole country.

Analysis unit

• Individuals
• Families/households

Universe

• Households
• All persons normally resident in private households in the United Kingdom

Kind of data

Sample survey data [ssd]

Sampling procedure

Stratified multi-stage sample; for further details see annual reports. Until 1983 two sampling frames were used; in England, Northern Ireland and Wales, the Valuation Roll provided the basis for a sample which, in England and Wales, included all 69 metropolitan districts, and a two-stage selection from among the remaining non-metropolitan districts. In Northern Ireland wards were the primary sampling units. In Scotland, the Address File (i.e. post codes) was used as the basis for a stratified sample.From 1983 the Postoffice Address File has been used instead of the Valuation Roll in England and Wales. In 1984 sample rotation was introduced along with a panel element, the quarterly survey, which uses a two-stage clustered sample design.

The sample comprises about 90,000 addresses drawn at random from the rating lists in 190 different areas of England and Wales With such a large sample, it Will happen by chance that a small number of addresses which were selected at random for the 1979 survey Will come up again In addition 2,000 addresses in 8 of the areas selected in 1979 have been deliberately re-selected again this time (me Interviewers who get these addresses In their work w,ll receive a special letter to take with them.)

The sample is drawn from the "small users" sub-file of the Postcode Address File (PAF), which is a list of all addresses (delivery points) to which mail is delivered, prepared by the Post OffIce and held on computer. "Small users" are delivery points that receive less than 25 afiicles of mail a day and include all but a small proportion of private households. The PAF is updated regularly by the Post Office but, as mentioned in Chapter 1, there was an interruption in the supply of updates in the period leading up to the 1988 msurvey. As a result one third of the sample was drawn from the PAF as at March 1986 and two thirds from the sample as at September 1986.

Sample sizes and response rates Numbers of households who answered the questions in the Housing. Trailer were 37,761 in 1988. The corresponding response rates were 82.5 percent. Response rates were highest in East Anglia with nearly 89 percent in 1988, lowest in Inner London with 73 percent in 1988.

Sampling deviation

One of the limitations of the LFS is that the sample design provides no guarantee of adequate coverage of any industry, as the survey is not industrially stratified. The LFS coverage also omits communal establishments, except NHS housing, students in halls of residence and at boarding schools. Members of the armed forces are only included if they live in private accommodation. Also, workers under 16 are not covered. As in previous years, the sample for the boost survey was drawn in a single stage in the most densely populated areas, in two stages elsewhere. The areas where the sample was drawn in a single stage were:

(I) local authority districts in the metropolitan counties and Greater London; (II) districts which, based on the 1981 Census.

Mode of data collection

Face-to-face [f2f]

Research instrument

All questions in the specification are laid out using the same format. Some questions (for instance USUWRKM) have a main group routed to them, but subsets of this group are asked variations of the question. In such cases the main routing is at the foot of the question as usual, and the subsets are listed separately above it, with the individual aspect of the routing indented slightly from the left of the page.

In addition to the information on the address list, the address and serial number is also pre-printed on the E questionnaire to save time and increase accuracy. You will see that each E questionnaire has been pre-printed with household number 01. Where there is more than one household to be interviewed, you will need to enter the information on the blank E questionnaires provided.

Cleaning operations

Information Technology Centres provides one-year training and practical work experience course in the use of computers and word processors and other aspects of information technology (eg teletex, editing, computer maintenance).

Response rate

Method of calculating response rates The response rate indicates how many interviews were achieved as a proportion of those eligible for the survey. The formula used is as follows: RR = (FR + PR)/(FR + PR + OR + CR + RHQ + NC + RRI*) where RR = response rate, FR = full response, PR = partial response, OR = outright refusal, CR = circumstantial refusal, RHQ = refusal to HQ, NC = non contact, RRI = refusal to re-interview, *applies to waves two to five only.

The combined sample for tne UK IS over 63,00U householrls (60,000 for Great Britain). the sample size is intended to be sufficiently large to allow reliable informatlon to be produced at th national and regional levels, and also to allow analysls of fairly small subgroups of the population. The response rate achieved averaged between 80 and 85 percent.

Sampling error estimates

As with any sample survey, the results of the Labour Force Survey are subject to sampling errors. In addition, the results of any sample survey are affected by non-sampling errors, i.e. the whole variety of errors other then those due to sampling. As with all sample surveys, Labour Force Survey results are subject to sarnphng error. The survey consists of only one of a number of possible samples, and had a different sample been taKen a different estimate would probably leave resulted sampling error is the measure of this variatlon. Sampling error can be reduced by stratifying the sample (although the increased error caused by clustering cannot be ehmmated by tires means). The stratum III boost survey PSUS were stratified by the proportion of economically actwe men who were unemployed in the local authorrty district according to the 1981 Census, while in Scotland the strata II and Ill sample was stratified by the percentage of persons in employment who were working in manual occupations These stratificatlon’s tend to reduce samping error in relahon to measurements of charactenshcs related to the factors used in strahficatlon. Hence lt is unappropriate to calculate sampling error for the LFS assuming simple random sampling, and errors are, therefore, estimated taking account of the sample design Standard errors for Great Bntam were estrmated (taking the complex sample design into account) by combining the variances for the major strata of the

The present study is an attempt to present the development of German livestock since the beginning of the 19th century in numbers and partly also graphically. As the objective of the investigation was to describe this development in broad terms it is based on 20 years intervals. “The information starts in 1816 because an earlier start did not seem appropriate as a consequence of the war years. The following evaluation years are 1833, 1853, 1873, 1892, 1913 and 1927. For processing the data material an appropriate demarcation of the geographical districts was of crucial importance. An appropriate unit for Prussia and Bavaria is a government district (Regierungsbezirk), for Saxony the district office (Kreishauptmannschaft), for Württemberg the district (Kreis), for Baden the federal commissioner district (Landeskommissarbezirk), for Hesse the province (Provinz) for Oldendburg the region (Landesteil) and for Alsace-Lorraine the district (Bezirk).The other regions were not subdivided. The Thuringian States have always been combined into one unit. All regions were defined after the administrative division of 1927. For Baden an earlier administrative division in 11 districts was translated into the division in four federal commissioner districts of 1927” (Ritter, a. cit., p. 5 f.). As an Introduction to the investigation an overview over the territory size of the relevant districts will be given. This data is based on the sizes of 1927; the whole district designation is based on this year. In those tables you also find data about the population in the different districts for different years of censuses because the data of the density of livestock becomes more meaningful in combination with data about population density. For the years after the foundation of the German Empire the results of the censuses for the years of 1871, 1890, 1910 and 1925 were used. It was always possible to use numbers of population level, which are only few years away from the respective livestock census years. The population level before the foundation of the German Empire was determined through a compilation of the results of censuses of the different districts. A uniform count for all German states was first performed on December 3, 1867. For the data by the year 1833, the first of the three-year census of the Zollverein in 1834 served as a basis. Also for the numbers around 1816 appropriate data was available, partly because there was a census in Prussia in 1816. In the description of the development of livestock horses, cattle, sheep, pigs and goats for all years of evaluation and chicken for 1912 and 1927 were taken into account. Mules and donkeys are not included due to their small importance; as well as all types of poultry besides - chickens - and bees and rabbits are not included, especially since there is no satisfactory information for the early years. Prussia started to identify spring cattle only in 1897(the first comprehensive census in the German Empire was carried out in 1900 with regard to the upcoming trade agreements; the first census for bees in the German Empire was carried out in 1873). “We did not succeed in fining reliable data for all regions for the time around 1916 and 1833; also for the time around 1853, some gaps still remained.However, a look at the tables on the quantities of individual livestock species shows that the missing data is almost always from small regions with little importance in the overall framework.” (Ritter, a. cit., p. 4). The basis of the representation is for all livestock species always the total number of stocks (numbers in thousands). To clearly highlight the importance of the data on the number of the different livestock species in different districts and the quantities of each livestock species per 100 inhabitants was calculated. Another part of the table describes the relations between different cattle species. “To clarify the business side of the development of the livestock sector in the last part of the study the stock of cattle of the different species is presented in relation to each of 100 cattle. Thereby a process was pursued and developed further, which for the first time was used by Th. H. Engelbrecht in his study; "The Country of the building zones except tropical countries". Besides also young cattle was recorded. In addition, the number of foals per 100 horses is given.” (Ritter, a. cit., p 10). Data tables in HISTAT:A. Territory and population A.01 Territory in square kilometers (1813-1925)A.02 Population: Headcount in 1000 (1816-1925)A.03 Population: Headcount on one square kilometer (1816-1925)B. Livestock by regions and districts B.01 Stock of horses, in 1000 animals, per one square kilometer, per 100 inhabitants (1816-1927)B.02 Stock of foals in 1000 animals, per one square kilometer (1873-1927)B.03 Stock of cattle, in 1000 animals, per one square kilometer, per 100 inhabitants (1816-1927)B.04 Stock of cows, in 1000 animals (1816-1927)B05 Stock of young cattl...

Graph and download economic data for Average Price: All Soft Drinks, 12 Pk, 12 Ounce, Cans (Cost per 12 Ounces/354.9 Milliliters) in the Midwest Census Region - Urban (APU0200FN1102) from Apr 2018 to Jun 2025 about other food items, retail, price, and USA.