Language Highlight Tables, Population by language spoken most often and regularly at home, for census metropolitan areas and census agglomerations, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

Language Highlight Tables, Population by mother tongue and age groups, census subdivisions with 5,000+ population, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

Language Highlight Tables, Population by mother tongue and age groups, census subdivisions with 5,000+ population, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

Language Highlight Tables, Population by language spoken most often and regularly at home, for census metropolitan areas and census agglomerations, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

Families and Households Highlight Tables, Young adults in the parental home for the population aged 20 to 29 in private households, for census metropolitan areas and census agglomerations, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

Age and Sex Highlight Tables, census subdivisions with 5,000+ population, 2011 and 2006 censuses - Provides information highlights by topic via key indicators for various levels of geography.

This statistic shows the usage frequency of hair highlights in the United States from 2011 to 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, **** million Americans performed hair highlights * or more times in 2020.

Families and Households Highlight Tables, Couple families by presence of children in private households, census subdivisions with 5,000+ population, 2011 and 2006 censuses - English version. Provides information highlights by topic via key indicators for various levels of geography.

Statistics Canada conducts the Census of Agriculture and the Census of Population for Canada every five years. The Alberta statistics presented here are highlights from 2011 Census of Agriculture, with comparison statistics from the 2006 Census of Agriculture.

Families and Households Highlight Tables, Couple families by presence of children in private households, census divisions, 2011 and 2006 censuses - English version. Provides information highlights by topic via key indicators for various levels of geography.

Provides information highlights by topic via key indicators for various levels of geography.

Families and Households Highlight Tables, Census family structure including intact families and stepfamilies for couple families with children in private households, for Canada, provinces and territories, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

Age and Sex Highlight Tables, median age and population by broad age groups and sex, historical trend, 1901 to 2011 - Provides information highlights by topic via key indicators for various levels of geography.

Families and Households Highlight Tables, Census family structure including intact families and stepfamilies for couple families with children in private households, for census metropolitan areas and census agglomerations, 2011 census - English version. Provides information highlights by topic via key indicators for various levels of geography.

Abstract

Objective of the consumer expenditure survey (CES): Firstly, as an indicator of level of living, monthly per capita expenditure (MPCE) is both simple and universally applicable. Average MPCE of any sub-population of the country (any region or population group) is a single number that summarises the level of living of that population. It is supplemented by the distribution of MPCE, which highlights the differences in level of living of the different parts of the population. More detailed analysis of the distribution of MPCE reveals the proportion and absolute numbers of the poor with respect to a given poverty line. A welfare state has to take note of these numbers in allocating its resources among sectors, regions, and socio-economic groups. The distribution of MPCE can also be used to measure the level of inequality, or the degree to which consumer expenditure is concentrated in a small proportion of households or persons, and this can be done without any predetermined poverty line or welfare norms.

If socialism was the ideal of the 1950's, the ideal of policy-makers during the last decade was "inclusive growth". Increasingly, inclusive growth is seen as the all-important target that we should aim at, at least for the immediate future. Not surprisingly, the NSS CES is being used by scholars as a searchlight focused on the country's development process that shows up just how inclusive the country's growth has been.

Since the data is collected not only on consumption level but also on the pattern of consumption, the CES has another important use. To work out consumer price indices (CPIs) which measure the general rise in consumer prices, one needs to know not only the price rise for each commodity group but also the budget shares of different commodity groups (used as weights). The budget shares as revealed by the NSS CES are being used for a long time to prepare what is called the weighing diagram for official compilation of CPIs. More extensive use of NSS CES data is planned to have a weighing diagram that uses a finer commodity classification, to prepare rural and urban CPIs separately for each State.

Apart from these major uses of the CES, the food (quantity) consumption data are used to study the level of nutrition of different regions, and disparities therein. Further, the budget shares of a commodity at different MPCE levels are used by economists and market researchers to determine the elasticity (responsiveness) of demand to income increases.

Two types of Schedule 1.0 viz. Schedule Type 1 and Schedule Type 2 was canvassed in this round. Schedule Type 1 and Type 2 are similar to those of NSS 66th round.

Reference period and schedule type: The reference period is the period of time to which the information collected relates. In NSS surveys, the reference period often varies from item to item. Data collected with different reference periods are known to exhibit certain systematic differences. Strictly speaking, therefore, comparisons should be made only among estimates based on data collected with identical reference period systems. In the 68th round - as in the 66th round -two schedule types have been drawn up. The two schedule types differonly in respect of reference period. Sample households were divided into two sets: Schedule Type 1 was canvassed in one set and Schedule Type 2 in the other.

Schedule Type 1 uses the same reference period system as Schedule Type 1 of NSS 66th round. Schedule Type 1 requires that for certain items (Clothing, bedding, footwear, education, medical (institutional), durable goods), the same household should report data for two reference periods - 'Last 30 days' and 'Last 365 days'. Schedule Type 2 has the same reference periods as Schedule Type 2 of NSS 66th round. For Group I items (Clothing, bedding, footwear, education, medical (institutional), durable goods), the reference period used in Schedule Type 2 is 'Last 365 days'.

As in the 66th round, items of food, pan, tobacco and intoxicants (Food-plus category) are split into 2 blocks - 5.1 and 5.2 - instead of being placed in a single block. • Block 5.1 consists of the item groups cereals, pulses, milk and milk products, sugar and salt. This block has a reference period of 30 days in both Schedule Type 1 and Schedule Type 2. • Block 5.2 consists of the other items of food, along with pan, tobacco and intoxicants. This block is assigned a reference period of 'Last 30 days' in Schedule Type 1 and a reference period of 'Last 7 days' in Schedule Type 2.

Thus Schedule Type 1, like Schedule 1.0 of NSS 66th round, uses the 'Last 30 days' reference period for all items of food, and for pan, tobacco and intoxicants.

Geographic coverage

The survey covers the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample design

Outline of sample design: A stratified multi-stage design has been adopted for the 68th round survey. The first stage units (FSU) are the 2001 census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In case of large FSUs, one intermediate stage of sampling is the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each rural/ urban FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (henceforth the term 'village' would include also Panchayat wards for Kerala) constitutes the sampling frame. For the urban sector, the list of UFS blocks (2007-12) is considered as the sampling frame.

Stratification: Within each district of a State/ UT, generally speaking, two basic strata have been formed: i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them forms a separate basic stratum and the remaining urban areas of the district are considered as another basic stratum.

Sub-stratification: Rural sector r: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed would be 'r/4'. The villages within a district as per frame were first arranged in ascending order of population. Then sub-strata 1 to 'r/4' have been demarcated in such a way that each sub-stratum comprised a group of villages of the arranged frame and have more or less equal population. Urban sector: If 'u' be the sample size for an urban stratum, 'u/4' number of sub-strata have been formed. In case u/4 is more than 1, implying formation of 2 or more sub-strata, this is done by first arranging the towns in ascending order of total number of households in the town as per UFS phase 2007-12 and then arranging the IV units of each town and blocks within each IV unit in ascending order of their numbers. From this arranged frame of UFS blocks of all the towns/million plus city of a stratum, 'u/4' number of sub- strata formed in such a way that each sub-stratum has more or less equal number of households as per UFS 2007-12.

Total sample size (FSUs): 12784 FSUs have been allocated for the central sample at all-India level and 14772 FSUs have been allocated for state sample.

Allocation of total sample to States and UTs: The total number of sample FSUs has allocated to the States and UTs in proportion to population as per census 2001 subject to a minimum sample allocation to each State/ UT. While doing so, the resource availability in terms of number of field investigators has been kept in view.

Allocation of State/ UT level sample to rural and urban sectors: State/ UT level sample size has been allocated between two sectors in proportion to population as per census 2001 with double weightage to urban sector. However, if such weighted allocation resulted in too high sample size for the urban sector, the allocation for bigger states like Maharashtra, Tamil Nadu, etc. was restricted to that of the rural sector. A minimum of 16 FSUs (minimum 8 each for rural and urban sector separately) is allocated to each state/ UT.

Allocation to strata/ sub-strata: Within each sector of a State/ UT, the respective sample size has been allocated to the different strata/ sub-strata in proportion to the population as per census 2001. Allocations at stratum level are adjusted to multiples of 4 with a minimum sample size of 4. Allocation for each sub-stratum is 4. Equal number of samples has been allocated among the four sub-rounds.

Selection of FSUs: For the rural sector, from each stratum/ sub-stratum, required number of sample villages has been selected by probability proportional to size with replacement (PPSWR), size being the population of the village as per Census 2001. For the urban sector, UFS 2007-12 phase has been used for all towns and cities and FSUs have been selected from each stratum/sub-stratum by using Simple Random Sampling Without Replacement (SRSWOR). Both rural and urban samples are to be drawn in the form of two independent sub-samples and equal number of samples have been allocated among the four sub rounds.

Selection of hamlet-groups/ sub-blocks - important steps

Criterion for hamlet-group/ sub-block formation: After identification of the boundaries of the FSU, it is first determined whether listing is to be done in the whole sample FSU or not. In case the population of the selected FSU is found to be 1200 or more, it has to be divided into a suitable number (say, D) of 'hamlet-groups' in the rural

Provides information highlights by topic via key indicators for various levels of geography.

Middlesbrough’s current population was estimated to be 140,398 in 2016 by the Office of National Statistics (Mid-year population estimates 2016). With a total area of 5,387 hectares, Middlesbrough is the smallest and second most densely-populated local authority area in the north east. Significant changes in the population demographics of Middlesbrough since the 2001 Census highlight an increasingly diverse and ageing population in the town.Age[1]Middlesbrough has a younger population than both the national and regional averages, however there has been significant growth in the ageing population since Census 2001.20.58% of Middlesbrough’s resident population are Children and Young People aged 0 to 15 years. This is higher than the England rate of 19.05% and the north east rate of 17.74%.63.56% are ‘working age’ between 16 and 64 years. This is higher than both the England rate of 63.07% and the north east rate of 63.01%.15.90% are ‘older people’ aged over 65 years. This is lower than both the England rate of 17.88% and the north east rate of 19.25%.Gender [2]50.85% of Middlesbrough’s population were estimated to be female. This is in line with both the England rate of 50.60% and the north east rate of 50.92%49.15% of Middlesbrough’s population were estimated to be male. This is in line with the England rate of 49.40% and the north east rate of 49.08%.Women in Middlesbrough live longer than men, with 17.62% of women are aged over 65 years. This is lower than both the England rate of 19.75% and the north east rate of 21.43%The gender breakdown of Council employment figures is 70.57% women and 29.42% men. This is not reflective of the wider labour market figures of 47% and 53% respectively[3] though it is broadly comparable with the employment levels in other local authorities.[4]Sexual Orientation[5]Office for National Statistics has estimated that 94.6% of Middlesbrough’s population identify as heterosexual or straight, with 1.2% identifying as gay or lesbian, 0.4% identify as bisexual, as a result of the Annual Population Survey 2016. This is higher than the north east region and England.Ethnic Diversity[6]Middlesbrough is the most ethnically diverse local authority area in the Tees Valley, with a British Minority Ethnic population of 11.7% identified at Census 2011, an increase of 86% since 2001 and which is projected to grow further.88.18% of Middlesbrough’s resident population were classed as White (with various sub-groups) this was lower than the north east rate of 93.63% but higher than the England rate of 79.75%. Middlesbrough is the second most ethnically diverse local authority in the north east, behind Newcastle upon Tyne with 81.92% classed as White.7.78% were classed as Asian/Asian British (with sub-groups), this is higher than the north east rate of 2.87% but slightly lower albeit in lien with the England rate of 7.82%. Again, Middlesbrough is only behind Newcastle upon Tyne on this measure (9.67%), however has the highest percentage in the Tees Valley.1.71% of the population were identified as Mixed/Multiple ethnic groups (with sub-groups), this was higher than the north east rate of 0.86% but slower than the national rate of 2.25%. Middlesbrough had the highest percentage of this group in the north east.1.25% of the population were identified as Black/Africa/Caribbean/Black British, this was higher than the north east rate of 0.51% but lower than the England rate of 3.48%. Middlesbrough is only behind Newcastle upon Tyne on this measure (1.84%), however has the highest percentage in the Tees Valley.1.08% of the population were identified as Other Ethnic Group, this was higher than both the England rate of 1.03% and the north east rate of 0.43%. Middlesbrough is only behind Newcastle upon Tyne with 1.46%, however has the highest percentage in the Tees Valley.8.2% of Middlesbrough’s total population were born outside of the UK as at census 2011, this was lower than the England rate of 8.21% but almost double the north east rate of 4.95%. Middlesbrough has the highest percentage of residents born outside of the UK in the Tees Valley, however it is second behind Newcastle upon Tyne in the north east.15.74% of Asylum seekers in the north east were reported to be resident in Middlesbrough in the period October to December 2017 (Q4). Newcastle upon Tyne has the highest rate with 23.66%, followed by Stockton-on-Tees with 19.73%, this places Middlesbrough third in the north east and second in the Tees Valley.ONS reports a rise in the number of Non-British nationals per 1,000 of the resident population, with 51.1 in 2011 and 72.5 in 2015. This is higher than the north east with 27.7 rising to 34.3 and lower than England at 83.5 rising to 93.2Gender Identity[7]The Gender Identity Research & Education Society (GIRES) estimates that about 1% of the British population are gender nonconforming to some degree. The numbers of Trans boys and Trans girls are about equal. The number of people seeking treatment is growing every year.Based on GIRES estimate, around 1,400 members of Middlesbrough’s population could be gender nonconforming, however this is an estimate.Whilst there is a requirement for data on gender identity, there are currently no means for recording it. The Office for National Statistics is currently considering the addition of a question on Gender Identity for the 2021 Census, however at this time it is under consultation as to how it will be added and worded to best suit this group of the population.Religion and Belief71.59% of Middlesbrough’s resident population were identified as having religion in the 2011 census. This is higher than both England with 68.09% and the north east with 70.52%22.25% of the population were identified as having no religion, this was lower than both England with 24.74% and the north east with 23.40%.6.16% of the population did not state their religion, this was lower than England with 7.18%, but higher than the north east with 6.08%.63.23% of the population were identified as Christian, this was higher than England with 59.38% but lower than the north east with 67.52%.7.05% of the population were identified as Muslim, this was higher than both England with 5.02% and the north east with 1.80%. Middlesbrough has the highest Muslim population in the north east and the Tees Valley.The remaining proportion of the population were identified as Buddhist, Hindu, Jewish, Sikh and ‘Other religion’ each accounting for less than 1% of the population. This trend is seen in the England and north east averages.

U.S. Customs and Border Protection is pleased to present the Import Trade Trends Report. This report is produced semiannually and features graphical analysis and trade highlights. While U.S. Census Bureau has been producing monthly trade statistics at the aggregate level, this report is designed to trace major trade patterns and their impact on CBP workload and initiatives.rn

This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

Life expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm.

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.

4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Age and Sex Highlight Tables, census subdivisions with 5,000+ population, 2011 and 2006 censuses - Provides information highlights by topic via key indicators for various levels of geography.