Copper increased 1.13 USd/LB or 28.38% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on March of 2025.

Inflation Rate in Mauritius decreased to 0.10 percent in February from 1.90 percent in January of 2025. This dataset provides - Mauritius Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The annual average consumer price index in Peru was forecast to continuously increase between 2024 and 2029 by in total 11.8 points (+10.37 percent). After the twenty-second consecutive increasing year, the index is estimated to reach 125.58 points and therefore a new peak in 2029. Notably, the annual average consumer price index was continuously increasing over the past years.As defined by the International Monetary Fund, this indicator measures inflation on the basis of the average consumer price index. This index measure expresses a country's average level of prices based on a typical basket of consumer goods and services during a certain year. Typically a reference year exists for which a value of 100 had been assigned.Find more statistics on other topics about Peru with key insights such as the gross domestic product (GDP) per capita, the current account balance, and the general government revenue.

IP 02071 Old consumer price index by 5 commodity groups (1988 Q 1-2001 Q 2) - discontinued

Aruba GNP for 2022 was 3.56 billion US dollars, a 10.6% increase from 2021.

• Aruba GNP for 2021 was 3.22 billion US dollars, a 29.26% increase from 2020.
• Aruba GNP for 2020 was 2.49 billion US dollars, a 20.66% decline from 2019.
• Aruba GNP for 2019 was 3.13 billion US dollars, a 2.33% increase from 2018.

GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.

The Consumer Price Index of the United Kingdom was 135.2 as of the fourth quarter of 2024, indicating that consumer prices have increased by 35.2 percent when compared with the first quarter of 2015. As of December 2024, the inflation rate for the CPI was 2.5 percent, a slight fall from the previous month.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Information Technology, Hardware and Services in U.S. City Average (CUUR0000SEEE) from Dec 1988 to Jan 2025 about hardware, information technology, information, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

The Consumer Price Index in the United Kingdom increased 0.40 percent in February of 2025 over the previous month. This dataset provides - United Kingdom Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Historical dataset of nominal and real (inflation-adjusted) gold prices per ounce back to 1915. The series is deflated using the headline Consumer Price Index (CPI) with the most recent month as the base. The current month is updated on an hourly basis with today's latest value.

Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

Long term historical dataset of the daily British Pound - U.S. Dollar (GBPUSD) exchange rate back to 1971.

Abstract copyright UK Data Service and data collection copyright owner.

The 5% Sample Survey of Building Society Mortgage Completions (BSM) has been in existence since 1965. The Archive holds data from 1974.
Monthly returns, giving detailed information on a nominal 5% sample of all mortgage completions, have been submitted on a voluntary basis by most building societies to the Department of Environment who process the data on a quarterly basis.
The survey results have served as the offical source of statistics on the owner-occupied housing market, providing a wealth of information on mortgage advances, dwelling prices and the characteristics of borrowers and properties.
An increased share of the mortgage market being accounted for by other lenders and a widening range of mortgage products during the 1980s have necessitated change, leading to the BSM being succeeded by the Survey of Mortgage Lenders (SML) in 1992 (see GN: 33254).
An important consideration for users of the data is that the SML figures allow continuity with the BSM survey results to be maintained for a reasonable period.
Main Topics:
Building Society code, date mortgage completed, whether dwelling is wholly or partly occupied by borrower. Mortgage amount, whether solely for purchase of property, period of mortgage, gross rate of interest, repayment method. Purchase price and whether discounted in any way. Location of dwelling, whether new, age of dwelling, type, number of habitable rooms, whether garage, rateable value. Number and sex of borrowers, age of main borrower, basic income, other income, total income, whether applicant previously owner occupier, previous tenure, whether main borrower nominated by LA under support lending scheme.

Consumer Price Index CPI in the United Kingdom increased to 136 points in February from 135.40 points in January of 2025. This dataset provides the latest reported value for - United Kingdom Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Abstract

The Zimbabwe Demographic and Health Survey (ZDHS) is one of a series of surveys carried out by the Central Statistical Office (CSO) as part of the Zimbabwe National Household Survey Capability Programme. Conducted immediately following the second round of the Intercensal Demographic survey in 1988, the objective of the ZDHS was to make available to policy-makers and planners current information on fertility and child mortality levels and trends, contraceptive knowledge, approval and use and basic indicators of maternal and child health. To obtain these data, a nationally representative sample of 4201 women 15-49 was interviewed in the survey between September 1988 and January 1989.

The ZDHS is one of a series of surveys undertaken by the Central Statistical Office (CSO) as part of the Zimbabwe National Household Survey Capability Programme (ZNHSCP). The ZDHS was conducted immediately after the second round of the Intercensal Demographic Survey (ICDS) in 1988. The main objective of the ZDHS was to provide information on: - fertility levels, trends and preferences; - family planning awareness, approval and use; - maternal and child health, including infant and child mortality; - and other topics relating to family health.

The survey was designed to obtain information on family planning use similar to that provided by the 1984 Zimbabwe Reproductive Health Survey (ZRHS) and data on fertility and mortality which would complement information collected in the two rounds of the Intercensal Demographic Survey (ICDS). In addition, participation in the worldwide Demographic and Health Survey project offered an opportunity to strengthen survey capability in Zimbabwe, as well as further comparative research by contributing to the international demographic and health database.

Geographic coverage

National

Analysis unit

• Household
• Women age 15-49
• Children under five years

Universe

The population covered by the 1988 ZDHS is defined as the universe of all women age 15-49 in Zimbabwe. Eligibility for the individual interview was determined on a de facto basis, i.e., a woman was eligible if she was 15 to 49 years of age and had spent the night prior to the household interview in the household, irrespective of whether she was a usual member of the household or not.

Kind of data

Sample survey data

Sampling procedure

To achieve this objective, a nationally representative, self-weighting sample of women 15- 49 was selected and interviewed in the survey. The ZDHS sample was drawn from the Zimbabwe Revised Master Sample (ZRMS). The ZRMS was based on the master sample constructed at the initiation of the Zimbabwe National Household Survey Capability Programme (ZNHSCP) and revised for the first round of the Intercensal Demographic Survey in 1987.

The ZRMS can be considered as a two-stage sample, which is self-weighting at the household level. The sample is stratified by eight provinces and six sectors. The sectors, which are determined by land use include: (1) communal lands, (2) large-scale commercial farming areas, (3) small-scale commercial farming areas, (4) urban and semi-urban areas, (5) resettlement schemes, and (6) national parks, forest and other areas.

A subsample of 167 enumeration areas (EAs) from the 273 EAs in the ZRMS was selected for the ZDHS, including 114 in rural areas and 53 in urban areas. The EAs were selected systematically with probability proportional to the number of households in the 1982 census. Household listings prepared prior to the 1987 ICDS were used in selecting the households to be included in the ZDHS from the selected EAs. All women 15-49 present in the households drawn for the ZDHS sample on the night before the interview were eligible for the survey.

Mode of data collection

Face-to-face

Research instrument

Two questionnaires were used for the ZDHS, a household and an individual woman's questionnaire. The questionnaires were adapted from the DHS Model "B" Questionnaire, intended for use in countries with low contraceptive prevalence. A pretest was conducted, and the questionnaires were modified, taking into account the pretest results. The household and individual questionnaires were administered in Shona, Ndebele, or English, with these major languages appearing on the same questionnaire.

Information on the age and sex of all usual members and visitors in the selected households was recorded on the household questionnaire and used to identify women eligible for the individual questionnaire. Eligibility for the individual interview was determined on a de facto basis, i.e., a woman was eligible if she was 15 to 49 years of age and had spent the night prior to the household interview in the household, irrespective of whether she was a usual member of the household or not.

The individual questionnaire was used to collect information on the following topics: - Respondent's background; - Reproduction; - Contraception; - Health and breastfeeding; - Marriage; - Fertility preferences; - Husband's background and women's work; - Height and weight of children 3-60 months.

Cleaning operations

Data entry and editing began in October 1988 and was completed in February 1989, two weeks after fieldwork ended. The initiation of data processing during the fieldwork allowed the errors that were detected to be communicated immediately to the field teams for corrective measures, thus improving the quality of the data. All data processing activities were carried out in Harare, by a team of five data capture operators under a data processing coordinator. The operators were responsible for office editing and coding, as well as for the entry of the questionnaires. The computer hardware consisted of three IBM-compatible micro-computers. The Integrated System for Survey Analysis (ISSA) software package, developed by IRD for the DHS programme, was used for all phases of the data entry, editing and tabulation. Range, skip and most consistency checks were performed during the data capture itself; only the more sophisticated consistency checks were done during secondary editing.

Response rate

Of the 4789 households selected for the ZDHS, 4337 were located in the field; of these, 4107 households were successfully interviewed. Within the households successfully interviewed, 4467 women were identified as eligible, and, among these eligible women, 4201 women were interviewed. The overall response rate, which is the product of the household (95 percent) and individual (94 percent) response rates was 89 percent.

The overall response rate, which is the product of the household and individual response rate, was 89 percent for the whole sample. It was 90 percent or higher, except in Manicaland (89 percent), Mashonaland East (88 percent) and Harare/Chitungwiza (74 percent).

Sampling error estimates

Sampling error is a measure of the variability between all possible samples that could have been selected from the same population using the same design and size. For the entire population and for large subgroups, the ZDHS sample is sufficiently large so that the sampling error for most estimates is small. However, for small subgroups, sampling errors are larger and, thus, affect the reliability of the data. Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, ratio, etc.), i.e., the square root of the variance. The standard error can be used also to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic as measured in 95 percent of all possible samples with the same design will fall within a range of plus or minus two times the standard error for that statistic.

The computations required to provide sampling errors for survey estimates which are based on complex sample designs like those used for the ZDHS survey are more complicated than those based on simple random samples. The software package CLUSTERS was used to assist in computing the sampling errors with the proper statistical methodology. The CLUSTERS program treats any percentage or average as a ratio estimate, r=y/x, where y represents the total sample value for variable y and x represents the total number of cases in the group or subgroup under consideration.

In addition to the standard errors, CLUSTERS computes the design effect (DEFT) for each estimate, which is defined as the ratio between the standard error using the given sample design and the standard error that would result if a simple random sample had been used. A DEFT value of 1,0 indicates that the sample design is as efficient as a simple random sample, while a value greater than 1,0 indicates the increase in the sampling error due to the use of a more complex and less statistically efficient design. CLUSTERS also computes the relative error and confidence limits for estimates.

Sampling errors are presented below for selected variables considered to be of major interest. Results are presented in the Final Report for the whole country, urban and rural areas, three broad age groups and three educationaI levels. For each variable, the type of statistic (mean, proportion) and the base population are given in B.1 of the Final Report. For each variable, Tables B.2-B.5 present the value of the statistic, its standard error, the number of unweighted and weighted cases, the design effect, the relative standard errors, and the 95 percent confidence limits.

The relative standard error for most

In 2025, the global semiconductor industry is expected to grow by over 11 percent, reaching 697.2 billion U.S. dollars. Strong growth in the logic and memory segments of the market is expected to contribute to this growth. Intel semiconductors Intel has regularly ranked among the leading global semiconductor companies in terms of sales revenue. In 2023, Intel’s semiconductor market share stood at 9.1 percent. The company, based in Santa Clara, California, is joined by a number of other U.S. semiconductor companies in the top rankings. U.S. semiconductor companies Other notable semiconductor companies based in the U.S. include Qualcomm, Broadcom, and Nvidia. Developing a range of semiconductor products for the automotive and smartphone markets, to name but a few, Qualcomm’s semiconductor revenue amounted to 29 billion U.S. dollars in 2023.

Abstract

The Ghana Demographic and Health Survey (GDHS) is a national sample survey designed to provide information on fertility, family planning and health in Ghana. The survey, which was conducted by the Statistical Service of Ghana, is part of a worldwide programme coordinated by the Institute for Resource Development/Macro Systems, Inc., in more than 40 countries in Africa, Asia and Latin America.

The short-term objectives of the Ghana Demographic and Health Survey (GDHS) are to provide policymakers and those implementing policy with current data on fertility levels, knowledge and use of contraception, reproductive intentions of women 15-49, and health indicators. The information will also serve as the basis for monitoring and evaluating programmes initiated by the government such as the extended programme on immunization, child nutrition, and the family planning programme. The long-term objectives are to enhance the country's ability to undertake surveys of excellent technical quality that seek to measure changes in fertility levels, health status (particularly of children), and the extent of contraceptive knowledge and use. Finally, the results of the survey will form part of an international data base for researchers investigating topics related to the above issues.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men

Kind of data

Sample survey data

Sampling procedure

The 150 clusters from which a representative sample of women aged 15-49 was selected from a subsample of the 200 clusters used for the Ghana Living Standards Survey (GLSS). All census Enumeration Areas (EAs) were first stratified by ecological zones into 3 strata, namely Coastal Savanna, Forest, and Northern Savanna. These were further stratified into urban, semi-urban, and rural EAs. The EAs (in some cases, segments of EAs) were then selected with probability proportional to the number of households. All households in the selected EAs were subsequently listed.

Note: See detailed description of sample design in APPENDIX B of the survey report.

Mode of data collection

Face-to-face

Research instrument

Three different types of questionnaires were used for the GDHS. These were the household, individual and the husband questionnaires. The household and the individual questionnaires were adapted from the Model "B" Questionnaire for the DHS program. The GDHS is one of the few surveys in which special effort was made to collect information from husbands of interviewed women on such topics as fertility preferences, knowledge and use of contraception, and environmental and health related issues.

All usual members and visitors in the selected households were listed on the household questionnaire. Recorded in the household questionnaire were data on the age and sex of all listed persons in addition to information on fostering for children aged 0-14. Eligible women and eligible husbands were also identified in the household questionnaire.

The individual questionnaire was used to collect data on eligible women. Eligible women were definedas those aged 15-49 years who spent the night prior to the household interview in the selected household, irrespective of whether they were usual members of the household or not. Items of information collected in this questionnaire are as follows: 1) Respondent's Background 2) Reproductive Behavior 3) Knowledge and Use of Contraception 4) Health and Breastfeeding 5) Marriage 6) Fertility Preferences 7) Husband's Background and Women's Work 8) Weight and Height of Children Aged 3-36 Months.

In half of the selected clusters a husband's questionnaire was used to collect data on eligible husbands. Eligible husbands were defined as those who were co-resident with their wives and whose wives had been successfully interviewed. Data on the husband's background, contraceptive knowledge and use, as well as fertility preferences were collected.

All three questionnaires were translated into seven local languages, namely, Twi, Fante, Nzema, Ga, Ewe, Hausa and Dagbani. All the GDHS interviewers were able to conduct interviews in English and at least one local language. The questionnaires were pretested from mid-October to early November 1987. Five teams were used for the pretest fieldwork. These included 19 persons who were trained for 11 days.

Cleaning operations

Completed questionnaires were collected weekly from the regions by the field coordinators. Coding, data entry and machine editing went on concurrently at the Ghana Statistical Service in Accra as the fieldwork progressed. Coding and data entry were started in March 1988 and were completed by the end of June 1988. Preliminary tabulations were produced by mid-July 1988, and by August 1988 preliminary results of the survey were published.

Response rate

Of the 4966 households selected, 4406 were successfully interviewed. Excluding 9 percent of households that were vacant, absent, etc., the household response rate is 98 percent.

Out of 4574 eligible women in the household schedule, 4488 were interviewed successfully. The response rate at the individual level is 98 percent. Of the 997 eligible husbands, 943 were successfully interviewed, representing a response rate of 95 percent.

Sampling error estimates

The results from sample surveys are affected by two types of errors: non-sampling error and sampling error. The former is due to mistakes in implementing the field activities, such as failing to locate and interview the correct household, errors in asking questions, data entry errors, etc. While numerous steps were taken to minimize this sort of error in the GDHS, non-sampling errors are impossible to avoid entirely, and are difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of women selected in the GDHS is only one of many samples of the same size that could have been drawn from the population using the same design. Each sample would have yielded slightly different results from the sample actually selected. The variability observed among all possible samples constitutes sampling error, which can be estimated from survey results (though not measured exactly).

Sampling error is usually measured in terms of the "standard error" (SE) of a particular statistic (mean, percentage, etc.), which is the square root of the variance of the statistic across all possible samples of equal size and design. The standard error can be used to calculate confidence intervals within which one can be reasonably sure the true value of the variable for the whole population falls. For example, for any given statistic calculated from a sample survey, the value of that same statistic as measured in 95 percent of all possible samples of identical size and design will fall within a range of plus or minus two times the standard error of that statistic.

If simple random sampling had been used to select women for the GDHS, it would have been possible to use straightforward formulas for calculating sampling errors. However, the GDHS sample design used three stages and clusters of households, and it was necessary to use more complex formulas. Therefore, the computer package CLUSTERS, developed for the World Fertility Survey, and was used to compute sampling errors.

Note: See detailed estimate of sampling error calculation in APPENDIX C of the survey report.

Long term historical dataset of the daily U.S. Dollar - Japanese Yen (USDJPY) exchange rate back to 1971.

Historical dataset of real (inflation-adjusted) silver prices per ounce back to 1915. The series is deflated using the headline Consumer Price Index (CPI) with the most recent month as the base. The current month is updated on an hourly basis with today's latest value.

These two pieces are part of a collection of sound compositions called Timescales, which sonifies datasets spanning different time scales of the atmospheric carbon record. Sonification is analogous to visualization. In visualizations, data is mapped to an image; in sonification data is mapped to sound. In Situ 1988 and In Situ 2014 both sonify five years of atmospheric carbon data from the Mauna Loa Observatory, commonly known as the Keeling Curve. The pieces present the carbon record at weekly, monthly, and yearly timescales with a musical scale and translate historical time to musical time. Unlike standard graphical presentations of data, these sound compositions allow the listener to hear the data as physical resonance over time. Methods These sonifications were created with atmospheric carbon records from the Mauna Loa Observatory: C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and H. A. Meijer, Exchanges of atmospheric CO2 and 13CO2 with the terrestrial biosphere and oceans from 1978 to 2000. I. Global aspects, SIO Reference Series, No. 01-06, Scripps Institution of Oceanography, San Diego, 88 pages, 2001. http://escholarship.org/uc/item/09v319r9 In Situ data was processed and converted to MIDI notes using Python, and sonified using Supercollider. The data is mapped to a 12-tone equal-temperament scale spanning three octaves, with 340 ppm and 420 ppm as the lower and upper limits of the data range. In this mapping, 340 ppm is sonified as 130.81 Hz, and 420 ppm is sonified as 1046.50Hz. For these pieces, I wanted the sonic familiarity of an equal-temperament scale, so I chose a 12-tone scale to maximize the number of frequency bins (36 in total) within a relatively narrow range. The start years 1988 and 2014 were chosen because those are the years when CO2 reached 350 and 400 ppm, respectively. 1988 is also the year when NASA scientist James Hansen briefed Congress on the dangers of the rampant rise in CO2, and warned, controversially, that global warming could already be detected in temperature records. Each of these pieces sonifies five years of data at three different overlapping resolutions: weekly, monthly, and yearly. The choice to map from ppm to a 12-tone scale reduces the resolution of the data and creates more repetitive pitches, which creates a more rhythmic effect. Five years of the historical record, which is used in these pieces, is enough to hear the rise in CO2 if paying close attention, but it requires concentrated effort. The main effect is to hear the interplay between weekly and monthly carbon fluctuations. I also wanted the pieces to be one or two minutes long – the shortest duration of the whole collection – and to be played one right after the other. I experimented with tempos and found that a tempo of one monthly data point per every 1.2 seconds moved at a pace that felt unrushed but fast enough for the seasonal cycle to be recognizable. Each of the three timescales of data are sonified by a unique instrument. Since the motivation of these pieces is to hear the relationship between the three different timescales, I chose simple percussive sounds to accentuate the rhythm of the temporal ratios. The beat represents one month, and there are four or five weeks per month. A long-reverberation bell sound represents the annual data, as a background sound. The synth playing this annual CO2 was modeled after a recording of a Tibetan prayer bell. It consists of a bank of twelve frequency resonators excited by an input frequency and low-pass filtered pink noise. The input frequency is the mapped annual CO2 value, shifted down one octave. The synth playing the monthly and weekly CO2 is modeled after a mallet. It’s also composed of a bank of eight frequency resonators that are excited by pink noise. The fundamental frequency is given by the mapped CO2 value. The difference in sound between the weekly and monthly values is determined by the decay length of the ring times for the resonators. The decay length of the monthly values is twice as long as the decay length for the weekly values. The choice of percussive instruments modeled after a bell and mallet was to create a minimalist sound that lets the listener hear how different the carbon record sounds when we pay attention at weekly, monthly, annual, and decadal timescales.

The Youth Development Study (YDS) was initiated as a school-based study of adolescent children and their parents to examine the consequences of formative experiences in adolescence for mental health, value formation, educational achievement, and multiple facets of behavioral adjustment. Particular attention was directed to the impacts of early work experience. Data were also obtained about parent-child and peer relationships and experiences in school. As the study continued, the focus shifted to adult development and attainment and, most recently, mid-life adjustment and health. This comprehensive longitudinal study now encompasses three generations: the initial cohort studied from adolescence to mid-life (G2), their parents (G1), and their adolescent children (G3). Data from three generations in the same families enable study of intergenerational relationships and differences in the experience of adolescence and transition to adulthood across parent and child cohorts. The YDS covers a wide range of topics of interest to sociologists, social psychologists, developmental psychologists, and life course scholars, including the development and impacts of agentic resources, socioeconomic attainment, processes of inter- and intra-generational mobility, objective and subjective work conditions, family relationships, intergenerational relationships, mental and physical health, and well-being. In-school administration of paper surveys during the first four years of the study was supplemented by mailed surveys. Subsequent data collection took place entirely by mail, with 19 surveys conducted between 1988 and 2011. A final survey was conducted on-line in 2019. Survey data was obtained from the parents (G1) of this cohort during the first and fourth waves of the study (1988 and 1991). Surveys of the children (G3) began in 2009, continued in 2010 and 2011 (by mail) and in 2019-2020 (online). The Youth Development Study measures a wide range of formative experiences and both psychological and behavioral variables, using survey methodology. The G1 surveys obtained information about socioeconomic background as well as attitudes toward teenage employment, the parents' own employment as teenagers, their current work experiences, and educational expectations for their children. The G2 surveys during the high school years included detailed questions about students' work and volunteer experiences, as well as experiences in their family, school, and peer groups, with an emphasis on the ways that working affected other life domains, mental health, and well-being. Shorter surveys containing many of the same topics were administered to students in 1992, 1993, and 1994, and included questions about current family and living arrangements. In 1995, a full survey was administered covering the wide range of topics included in previous surveys as well as information about career plans and life events that had occurred in the past five years. G2 Waves 9 through 19 (1997-2011) included many of the same questions contained in earlier surveys and additional sections that focused on the respondents' educational experiences, family relationships, sources of living expenses, and health and well-being. The most recent G2 survey (2019), administered on-line, included questions about support of aging parents. The YDS is unique in its coverage of both objective and subjective work experiences from adolescence to mid-life. The topics covered by the G3 surveys are very similar to the G2 variables described above. Variables in each G2 and G3 wave are included in cross-wave codebooks, available at the Data Archive Codebook website. For an overview of the Youth Development Study, see Mortimer, Jeylan T. (2012) "The Evolution, Contributions, and Prospects of the Youth Development Study: An Investigation in Life Course Social Psychology." Social Psychology Quarterly 75(1, March):5-27.