This statistic shows the percentage increase in median hourly wages that can be expected with each additional year spent in further education in the United States. Differences can be seen for 1973, 1989 and 2007. In 2007, those who had completed 15 years of education could expect a median increase in their hourly wage of 14 percent as compared to 14 years of education.

In 1979, the median usual weekly earnings of a full-time employee amounted to *** current U.S. dollars. In 2023, this number had risen to ***** current U.S. dollars. The term current U.S. dollars describes the value of the currency in that particular year. Wages adjusted for inflation can be found here.

Wages in Manufacturing in Taiwan increased to 67293 TWD/Month in May from 56581 TWD/Month in April of 2025. This dataset provides - Taiwan Average Monthly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Wages in Manufacturing in Ireland increased to 1084.60 EUR/Week in the fourth quarter of 2024 from 1059.60 EUR/Week in the third quarter of 2024. This dataset provides - Ireland Average Weekly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Median Family Income in the United States (MEFAINUSA646N) from 1953 to 2023 about family, median, income, and USA.

Taiwan Average Earnings Index: Construction data was reported at 162.270 2016=100 in Jan 2019. This records an increase from the previous number of 97.280 2016=100 for Dec 2018. Taiwan Average Earnings Index: Construction data is updated monthly, averaging 81.220 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 162.270 2016=100 in Jan 2019 and a record low of 5.030 2016=100 in Feb 1973. Taiwan Average Earnings Index: Construction data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

Taiwan Average Earnings Index: Manufacturing data was reported at 193.240 2016=100 in Jan 2019. This records an increase from the previous number of 102.040 2016=100 for Dec 2018. Taiwan Average Earnings Index: Manufacturing data is updated monthly, averaging 63.770 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 193.570 2016=100 in Jan 2017 and a record low of 3.640 2016=100 in Feb 1973. Taiwan Average Earnings Index: Manufacturing data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

Taiwan Average Earnings Index: Industry data was reported at 188.860 2016=100 in Jan 2019. This records an increase from the previous number of 101.030 2016=100 for Dec 2018. Taiwan Average Earnings Index: Industry data is updated monthly, averaging 66.510 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 188.860 2016=100 in Jan 2019 and a record low of 3.780 2016=100 in Feb 1973. Taiwan Average Earnings Index: Industry data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

Minimum Wages in Thailand increased to 374 THB/Day in 2025 from 363 THB/Day in 2024. This dataset provides - Thailand Minimum Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract copyright UK Data Service and data collection copyright owner.

The aim of these studies is to examine the positions of the low paid, the subemployed (men and women unemployed for over 4 weeks in the last 12 months), the disabled and immigrants in two local labour markets. There were two main sources of data:
1) All members not in full-time education and under 71 of a simple random sample of households in 2 urban areas (230).
2) Follow-up survey of all individuals in 1, who fell into any one of four special categories (231).
i) low paid (less than 55p for males over 18, less than 35p for females over 18)
ii) subemployed (unemployed for more than 4 weeks in last 12 months)
iii) disabled
iv) immigrants (not born in UK or Eire)

Main Topics:

Attitudinal/Behavioural Questions
This dataset contains data from source 1.
a) Terms and Conditions of Employment
Holidays, sick pay, pension, notice, contract, journey to work (time, weekly cost), normal starting time, outdoors or indoors (shelter, tea/coffee, toilet, washing facilities, place to eat, place for storage, first aid, phone call, heating), place for coats etc., adjustable lighting, details of fringe benefits received.
Amount of heaving, lifting, sitting down, whether work dangerous, noisy or tiring. Security, promotion prospects, trade union (membership), reasons if no trade union, opinion on whether union would be advisable (reasons), reasons for non-membership. Number of employees, immediate work group, autonomy, number in same job (as a proportion of the labour force), origin of workmates, earnings relative to others, low paid men/women. Influence on pay (union/employer or other), assessment of employer (reasons). Net/gross wages last time paid, hours worked/overtime during last pay week, period of payment, number of weeks worked in past year, average hourly earnings, variations in pay during last month (specific details). Promotion/demotion (reasons and description of job change).
Labour force status, internal movement, number of employers/ occupations/industries/jobs/skill level changes in last 5 and last 10 years. Number of job changes, number of periods of unemployment, length of time unemployed, size of works closure, redundancy pay received, job offers, help finding a job (type). Average gross/net earnings, average hours worked/period of payment. Additions to pay, tax rebate, tax paid direct, work expenses, number of weeks paid holiday, income fluctuations (reasons), deductions, time off work (reasons), sick pay, number of weeks sickness, strike pay, number of weeks on strike, pay for other reasons, number of weeks absent for other reasons. Length of time out of work/on short time/part time (reasons).
b) Previous occupation
Reason for leaving; type; location; hours per week; gross/net earnings; payment period; date left work.
c) First job
Social class; source of information; starting date; method of application; reasons for acceptance.
d) Second job
Social class; gross/net income.
e) Housewives
Attitude to work; reasons for not working; whether job taken if help given with family; suitable conditions-hours, location, pay, type of job.
Method of job search, interviews, refusals, whether job held in last 5 years. Previous job; type, employment status, location, hours per week, gross/net earnings, payment period, reason for leaving, date of leaving.
f) Retired
As for housewives, plus reason for retirement; when started drawing pension.
Background Variables
Age, sex, marital status, place of birth, ethnic origin, educational status, school-leaving age, number of years of schooling, qualifications, further education, job-specific training. Driving licence, general health condition, specific troubles/illnesses, health effect on work, employment status. Number of households at address, number in household with: four or more weeks unemployed in last 12 months; low pay; disability; number of immigrants. Number in household, number aged 71 and over, number aged 15 and under, number aged 15 and over in education, number currently with paid job. Household type, number of rooms, amenities, structural defects, tenure, business purposes, net household income, rent rebate, number of weeks rent paid, rates, rate rebate (owner occupiers only), whether house paid for, presence of lodgers/boarders and sub-tenants, persons per room, cost of repairs over previous year, housing cost weekly. Family allowances received, retirement pension, widows pension.
Benefits received - sickness, unemployment, supplementary, industrial injury, industrial disability, war disability, maternity, death. Income received from property, assets and savings (value), number of weeks worked in past year, average hourly earnings, length of residence in study area/in North East/in GLC, local papers read.
Relatives in area (father, mother, siblings, children,...

Taiwan Average Regular Earnings Index: Manufacturing data was reported at 106.640 2016=100 in Jan 2019. This records an increase from the previous number of 105.630 2016=100 for Dec 2018. Taiwan Average Regular Earnings Index: Manufacturing data is updated monthly, averaging 72.970 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 106.640 2016=100 in Jan 2019 and a record low of 4.320 2016=100 in Feb 1973. Taiwan Average Regular Earnings Index: Manufacturing data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G038: Average Regular Earnings Index: 2016=100.

Taiwan Average Earnings Index: Water Supply & Remediation Services data was reported at 184.980 2016=100 in Jan 2019. This records an increase from the previous number of 92.680 2016=100 for Dec 2018. Taiwan Average Earnings Index: Water Supply & Remediation Services data is updated monthly, averaging 85.630 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 225.780 2016=100 in Jan 2006 and a record low of 5.220 2016=100 in Mar 1973. Taiwan Average Earnings Index: Water Supply & Remediation Services data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

From 1950 to 1973, Italy's social and economic structure underwent its largest transformation in modern history. Following the Second World War, the Italian government's restrictive policies that prioritized agriculture and limited both migration and urbanization were scrapped, and mass industrialization took place. Not only did this result in millions flocking from the countryside to cities in search of work, but this coincided with the expansion of welfare, healthcare, and education systems, which provided further employment opportunities in service industries. Increased industrialization and consumerism also resulted in the growth of the retail sector (included in services), and all of these factors contributed to the drastic drop in agricultural employment. Despite agriculture's share of total employment dropping by 80 percent over these 23 years, mechanization and investment meant that agricultural output in the 1950s and 1960s generally grew as the industry became more efficient. Over these decades, Italy's status as a poor and underdeveloped, rural nation changed, as it emerged as one of the world's largest and fastest-growing economies, even becoming the fourth-largest economy in the world for a brief period in the 1980s.

Taiwan Average Earnings Index: Electricity & Gas Supply data was reported at 160.990 2016=100 in Jan 2019. This records an increase from the previous number of 81.790 2016=100 for Dec 2018. Taiwan Average Earnings Index: Electricity & Gas Supply data is updated monthly, averaging 68.720 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 322.650 2016=100 in Jan 1998 and a record low of 4.130 2016=100 in May 1973. Taiwan Average Earnings Index: Electricity & Gas Supply data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G034: Average Earnings Index: 2016=100.

Average Regular Earnings Index: Mining and Quarrying (MQ) data was reported at 101.160 2016=100 in Jan 2019. This records an increase from the previous number of 100.670 2016=100 for Dec 2018. Average Regular Earnings Index: Mining and Quarrying (MQ) data is updated monthly, averaging 72.280 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 101.840 2016=100 in Aug 2014 and a record low of 3.860 2016=100 in Feb 1973. Average Regular Earnings Index: Mining and Quarrying (MQ) data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G038: Average Regular Earnings Index: 2016=100.

Taiwan Average Regular Earnings Index: Construction data was reported at 103.090 2016=100 in Jan 2019. This records an increase from the previous number of 102.570 2016=100 for Dec 2018. Taiwan Average Regular Earnings Index: Construction data is updated monthly, averaging 83.290 2016=100 from Jan 1973 (Median) to Jan 2019, with 553 observations. The data reached an all-time high of 103.380 2016=100 in Dec 2015 and a record low of 5.640 2016=100 in Feb 1973. Taiwan Average Regular Earnings Index: Construction data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G038: Average Regular Earnings Index: 2016=100.

United States Avg Hourly Earnings: sa: PW: 1982-84p: Private data was reported at 9.240 USD in Jun 2018. This records an increase from the previous number of 9.230 USD for May 2018. United States Avg Hourly Earnings: sa: PW: 1982-84p: Private data is updated monthly, averaging 8.475 USD from Jan 1964 (Median) to Jun 2018, with 654 observations. The data reached an all-time high of 9.370 USD in Jan 1973 and a record low of 7.750 USD in May 1995. United States Avg Hourly Earnings: sa: PW: 1982-84p: Private data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.