23 datasets found
  1. w

    Global Automotive Small And Medium Dc Motor Market Research Report: By...

    • wiseguyreports.com
    Updated Aug 24, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Automotive Small And Medium Dc Motor Market Research Report: By Voltage (Low Voltage (less than 30 volts), Medium Voltage (30-250 volts), High Voltage (above 250 volts)), By Power (Less than 1 kW, 1-10 kW, 10-50 kW, More than 50 kW), By Cooling Method (Air-Cooled, Water-Cooled), By Application (Power Windows, Automotive Seats, Heater/Ventilation, Engine Management, Other) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/automotive-small-and-medium-dc-motor-market
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    Dataset updated
    Aug 24, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20239.77(USD Billion)
    MARKET SIZE 202410.21(USD Billion)
    MARKET SIZE 203214.5(USD Billion)
    SEGMENTS COVEREDVoltage ,Power ,Cooling Method ,Application ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSRising demand for electric vehicles Technological advancements in motors Increasing adoption of safety features Growing focus on fuel efficiency Expanding automotive industry in emerging markets
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDJohnson Electric Holdings Limited ,Denso Corporation ,Regal Beloit Corp ,Ametek, Inc. ,Siemens AG ,Mitsuba Corporation ,Nanjing FJ Motor Group Co., Ltd. ,Electricfil Automotive ,Midea Motor Technology Co. Ltd. ,Mabuchi Motor Co., Ltd. ,Continental AG ,Valeo SA ,Portescap ,Nidec Corporation ,Lin Engineering Co. Ltd.
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESElectrification Automation Hybrid amp Electric Vehicles Increasing Vehicle Production Growing Consumer Demand
    COMPOUND ANNUAL GROWTH RATE (CAGR) 4.48% (2025 - 2032)
  2. g

    Database for the geologic map of the Washington West 30' x 60' quadrangle,...

    • gimi9.com
    Updated Mar 11, 2025
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    (2025). Database for the geologic map of the Washington West 30' x 60' quadrangle, Maryland, Virginia, and Washington D.C. | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_database-for-the-geologic-map-of-the-washington-west-30-x-60-quadrangle-maryland-virginia-/
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    Dataset updated
    Mar 11, 2025
    Area covered
    Washington, Maryland, Virginia
    Description

    The database for the Washington West 30- by 60-minute quadrangle covers an area of approximately 4,884 square kilometers (1,343 square miles) in and west of the Washington, D.C., metropolitan area. The eastern part of the area is highly urbanized, and more rural areas to the west are rapidly being developed. The area lies entirely within the Chesapeake Bay drainage basin and mostly within the Potomac River watershed. It contains part of the Nation's main north-south transportation corridor east of the Blue Ridge Mountains, consisting of Interstate Highway 95, U.S. Highway 1, and railroads, as well as parts of the Capital Beltway and Interstate Highway 66. Extensive Federal land holdings in addition to those in Washington, D.C., include the Marine Corps Development and Education Command at Quantico, Fort Belvoir, Vint Hill Farms Station, the Naval Ordnance Station at Indian Head, the Chesapeake and Ohio Canal National Historic Park, Great Falls Park, and Manassas National Battlefield Park. The quadrangle contains most of Washington, D.C.; part or all of Arlington, Culpeper, Fairfax, Fauquier, Loudoun, Prince William, Rappahannock, and Stafford Counties in northern Virginia; and parts of Charles, Montgomery, and Prince Georges Counties in Maryland. The Washington West quadrangle spans four geologic provinces. From west to east these provinces are the Blue Ridge province, the early Mesozoic Culpeper basin, the Piedmont province, and the Coastal Plain province. There is some overlap in ages of rocks in the Blue Ridge and Piedmont provinces. The Blue Ridge province, which occupies the western part of the quadrangle, contains metamorphic and igneous rocks of Mesoproterozoic to Early Cambrian age. Mesoproterozoic (Grenville-aged) rocks are mostly granitic gneisses, although older meta-igneous rocks are found as xenoliths. Small areas of Neoproterozoic metasedimentary rocks nonconformably overlie Mesoproterozoic rocks. Neoproterozoic granitic rocks of the Robertson River Igneous Suite intruded the Mesoproterozoic rocks. The Mesoproterozoic rocks are nonconformably overlain by Neoproterozoic metasedimentary rocks of the Fauquier and Lynchburg Groups, which in turn are overlain by metabasalt of the Catoctin Formation. The Catoctin Formation is overlain by Lower Cambrian clastic metasedimentary rocks of the Chilhowee Group. The Piedmont province is exposed in the east-central part of the map area, between overlapping sedimentary units of the Culpeper basin on the west and those of the Coastal Plain province on the east. In this area, the Piedmont province contains Neoproterozoic and lower Paleozoic metamorphosed sedimentary, volcanic, and plutonic rocks. Allochthonous mélange complexes on the western side of the Piedmont are bordered on the east by metavolcanic and metasedimentary rocks of the Chopawamsic Formation, which has been interpreted as part of a volcanic arc. The mélange complexes are unconformably overlain by metasedimentary rocks of the Popes Head Formation. The Silurian and Ordovician Quantico Formation is the youngest metasedimentary unit in this part of the Piedmont (Pavlides and others, 1980). Igneous rocks include the Garrisonville Mafic Complex, transported ultramafic and mafic inclusions in mélanges, monzogranite of the Dale City pluton, and Ordovician tonalitic and granitic plutons. Jurassic diabase dikes are the youngest intrusions. The fault boundary between rocks of the Blue Ridge and Piedmont provinces is concealed beneath the Culpeper basin in this area but is exposed farther south (Mixon and others, 2000). Early Mesozoic rocks of the Culpeper basin unconformably overlie those of the Piedmont and Blue Ridge provinces in the central part of the quadrangle. The north-northeast-trending extensional basin contains Upper Triassic to Lower Jurassic nonmarine sedimentary rocks. Lower Jurassic sedimentary strata are interbedded with basalt flows, and both Upper Triassic and Lower Jurassic strata are intruded by diabase of Early Jurassic age. The Bull Run Mountain fault, a major Mesozoic normal fault characterized by down-to-the-east displacement, separates rocks of the Culpeper basin from those of the Blue Ridge province on the west. On the east, the contact between rocks of the Culpeper basin and those of the Piedmont province is an unconformity which has been locally disrupted by normal faults. Sediments of the Coastal Plain province unconformably overlie rocks of the Piedmont province along the Fall Zone and occupy the eastern part of the quadrangle. Lower Cretaceous deposits of the Potomac Formation consist of fluvial-deltaic gravels, sands, silts, and clays. Discontinuous fluvial and estuarine terrace deposits of Pleistocene and middle to late Tertiary age flank the modern Potomac River valley unconformably capping these Cretaceous strata and the crystalline basement where the Cretaceous has been removed by erosion. East of the Potomac River, the Potomac Formation is onlapped and unconformably overlain by a westward thinning wedge of marine sedimentary deposits of Late Cretaceous and early and late Tertiary age. Basement rooted Coastal Plain faults of Tertiary to Quaternary age occur along the Fall Zone and this part of the inner Coastal Plain. These Coastal Plain faults have geomorphic expression that appear to influence river drainage patterns (Mixon and others, 1972; Seiders and Mixon, 1981; Fleming and others, 1994).

  3. I

    Ivory Coast CI: (DC)School Enrollment: Secondary: Female: % Net

    • ceicdata.com
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    CEICdata.com, Ivory Coast CI: (DC)School Enrollment: Secondary: Female: % Net [Dataset]. https://www.ceicdata.com/en/ivory-coast/education-statistics/ci-dcschool-enrollment-secondary-female--net
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2014 - Dec 1, 2016
    Area covered
    Côte d'Ivoire
    Variables measured
    Education Statistics
    Description

    Ivory Coast CI: (DC)School Enrollment: Secondary: Female: % Net data was reported at 29.877 % in 2016. This records an increase from the previous number of 25.196 % for 2014. Ivory Coast CI: (DC)School Enrollment: Secondary: Female: % Net data is updated yearly, averaging 27.536 % from Dec 2014 (Median) to 2016, with 2 observations. The data reached an all-time high of 29.877 % in 2016 and a record low of 25.196 % in 2014. Ivory Coast CI: (DC)School Enrollment: Secondary: Female: % Net data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ivory Coast – Table CI.World Bank.WDI: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  4. Georgia GE: (DC)Children Out of School: Primary: Male

    • ceicdata.com
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    CEICdata.com, Georgia GE: (DC)Children Out of School: Primary: Male [Dataset]. https://www.ceicdata.com/en/georgia/education-statistics/ge-dcchildren-out-of-school-primary-male
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1995 - Dec 1, 2012
    Area covered
    Georgia
    Variables measured
    Education Statistics
    Description

    Georgia GE: (DC)Children Out of School: Primary: Male data was reported at 2,287.000 Person in 2012. This records a decrease from the previous number of 5,911.000 Person for 2011. Georgia GE: (DC)Children Out of School: Primary: Male data is updated yearly, averaging 23,146.000 Person from Dec 1995 (Median) to 2012, with 11 observations. The data reached an all-time high of 33,018.000 Person in 1996 and a record low of 2,287.000 Person in 2012. Georgia GE: (DC)Children Out of School: Primary: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Education Statistics. Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.; ; UNESCO Institute for Statistics; Sum; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  5. Georgia GE: (DC)Children Out of School: Male: % of Male Primary School Age

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Georgia GE: (DC)Children Out of School: Male: % of Male Primary School Age [Dataset]. https://www.ceicdata.com/en/georgia/education-statistics/ge-dcchildren-out-of-school-male--of-male-primary-school-age
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1995 - Dec 1, 2012
    Area covered
    Georgia
    Variables measured
    Education Statistics
    Description

    Georgia GE: (DC)Children Out of School: Male: % of Male Primary School Age data was reported at 1.582 % in 2012. This records a decrease from the previous number of 4.008 % for 2011. Georgia GE: (DC)Children Out of School: Male: % of Male Primary School Age data is updated yearly, averaging 11.770 % from Dec 1995 (Median) to 2012, with 11 observations. The data reached an all-time high of 18.367 % in 1996 and a record low of 1.582 % in 2012. Georgia GE: (DC)Children Out of School: Male: % of Male Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  6. Georgia GE: (DC)Children Out of School: Primary: Female

    • ceicdata.com
    Updated Jan 26, 2025
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    CEICdata.com (2025). Georgia GE: (DC)Children Out of School: Primary: Female [Dataset]. https://www.ceicdata.com/en/georgia/education-statistics/ge-dcchildren-out-of-school-primary-female
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    Dataset updated
    Jan 26, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1995 - Dec 1, 2012
    Area covered
    Georgia
    Variables measured
    Education Statistics
    Description

    Georgia GE: (DC)Children Out of School: Primary: Female data was reported at 3,074.000 Person in 2012. This records a decrease from the previous number of 4,473.000 Person for 2011. Georgia GE: (DC)Children Out of School: Primary: Female data is updated yearly, averaging 19,634.000 Person from Dec 1995 (Median) to 2012, with 11 observations. The data reached an all-time high of 30,327.000 Person in 1995 and a record low of 3,074.000 Person in 2012. Georgia GE: (DC)Children Out of School: Primary: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Education Statistics. Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.; ; UNESCO Institute for Statistics; Sum; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  7. J

    Japan (DC)Regular Employees Index: >30: All Excl Services

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Japan (DC)Regular Employees Index: >30: All Excl Services [Dataset]. https://www.ceicdata.com/en/japan/monthly-labour-survey-regular-employees-index-2000100/dcregular-employees-index-30-all-excl-services
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    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2004 - Dec 1, 2004
    Area covered
    Japan
    Variables measured
    Employment
    Description

    Japan (DC)Regular Employees Index: >30: All Excl Services data was reported at 91.200 2000=100 in Dec 2004. This records an increase from the previous number of 91.100 2000=100 for Nov 2004. Japan (DC)Regular Employees Index: >30: All Excl Services data is updated monthly, averaging 93.300 2000=100 from Jan 2001 (Median) to Dec 2004, with 48 observations. The data reached an all-time high of 98.400 2000=100 in Jan 2001 and a record low of 91.000 2000=100 in Mar 2004. Japan (DC)Regular Employees Index: >30: All Excl Services data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G078: Monthly Labour Survey: Regular Employees Index: 2000=100.

  8. Georgia GE: (DC)School Enrollment: Primary: Female: % Net

    • ceicdata.com
    Updated Dec 15, 2022
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    CEICdata.com (2022). Georgia GE: (DC)School Enrollment: Primary: Female: % Net [Dataset]. https://www.ceicdata.com/en/georgia/education-statistics/ge-dcschool-enrollment-primary-female--net
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    Dataset updated
    Dec 15, 2022
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1995 - Dec 1, 2012
    Area covered
    Georgia, District of Columbia Public Schools
    Variables measured
    Education Statistics
    Description

    Georgia GE: (DC)School Enrollment: Primary: Female: % Net data was reported at 97.313 % in 2012. This records an increase from the previous number of 96.198 % for 2011. Georgia GE: (DC)School Enrollment: Primary: Female: % Net data is updated yearly, averaging 87.373 % from Dec 1995 (Median) to 2012, with 11 observations. The data reached an all-time high of 97.313 % in 2012 and a record low of 82.289 % in 1995. Georgia GE: (DC)School Enrollment: Primary: Female: % Net data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  9. Hong Kong SAR, China HK: (DC)Primary Completion Rate: Female: % of Relevant...

    • ceicdata.com
    Updated Dec 2, 2024
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    CEICdata.com (2024). Hong Kong SAR, China HK: (DC)Primary Completion Rate: Female: % of Relevant Age Group [Dataset]. https://www.ceicdata.com/en/hong-kong/education-statistics/hk-dcprimary-completion-rate-female--of-relevant-age-group
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    Dataset updated
    Dec 2, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1980 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Education Statistics
    Description

    Hong Kong HK: (DC)Primary Completion Rate: Female: % of Relevant Age Group data was reported at 101.225 % in 2016. This records a decrease from the previous number of 102.165 % for 2015. Hong Kong HK: (DC)Primary Completion Rate: Female: % of Relevant Age Group data is updated yearly, averaging 101.225 % from Dec 1980 (Median) to 2016, with 11 observations. The data reached an all-time high of 106.327 % in 1980 and a record low of 97.029 % in 2013. Hong Kong HK: (DC)Primary Completion Rate: Female: % of Relevant Age Group data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong – Table HK.World Bank: Education Statistics. Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  10. H

    Hong Kong SAR, China HK: (DC)Children Out of School: Primary

    • ceicdata.com
    Updated Jun 30, 2018
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    CEICdata.com (2018). Hong Kong SAR, China HK: (DC)Children Out of School: Primary [Dataset]. https://www.ceicdata.com/en/hong-kong/education-statistics/hk-dcchildren-out-of-school-primary
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    Dataset updated
    Jun 30, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Education Statistics
    Description

    Hong Kong HK: (DC)Children Out of School: Primary data was reported at 5,896.000 Person in 2016. This records an increase from the previous number of 3,934.000 Person for 2015. Hong Kong HK: (DC)Children Out of School: Primary data is updated yearly, averaging 26,754.500 Person from Dec 1971 (Median) to 2016, with 22 observations. The data reached an all-time high of 75,720.000 Person in 1971 and a record low of 2,170.000 Person in 2012. Hong Kong HK: (DC)Children Out of School: Primary data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong SAR – Table HK.World Bank.WDI: Education Statistics. Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.; ; UNESCO Institute for Statistics; Sum; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  11. Japan (DC)CI: Scheduled: >30: Services

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan (DC)CI: Scheduled: >30: Services [Dataset]. https://www.ceicdata.com/en/japan/monthly-labour-survey-nominal-wage-index-scheduled-cash-earnings-2000100/dcci-scheduled-30-services
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 1, 2004 - Oct 1, 2005
    Area covered
    Japan
    Variables measured
    Wage/Earnings
    Description

    Japan (DC)CI: Scheduled: >30: Services data was reported at 95.500 2000=100 in Oct 2005. This stayed constant from the previous number of 95.500 2000=100 for Sep 2005. Japan (DC)CI: Scheduled: >30: Services data is updated monthly, averaging 97.800 2000=100 from Jan 2001 (Median) to Oct 2005, with 58 observations. The data reached an all-time high of 101.300 2000=100 in Nov 2001 and a record low of 93.200 2000=100 in Jan 2005. Japan (DC)CI: Scheduled: >30: Services data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G061: Monthly Labour Survey: Nominal Wage Index: Scheduled Cash Earnings: 2000=100.

  12. H

    Hong Kong SAR, China HK: (DC)Children Out of School: % of Primary School Age...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China HK: (DC)Children Out of School: % of Primary School Age [Dataset]. https://www.ceicdata.com/en/hong-kong/education-statistics/hk-dcchildren-out-of-school--of-primary-school-age
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Education Statistics
    Description

    Hong Kong HK: (DC)Children Out of School: % of Primary School Age data was reported at 1.854 % in 2016. This records an increase from the previous number of 1.292 % for 2015. Hong Kong HK: (DC)Children Out of School: % of Primary School Age data is updated yearly, averaging 5.290 % from Dec 1971 (Median) to 2016, with 22 observations. The data reached an all-time high of 12.097 % in 1971 and a record low of 0.685 % in 2012. Hong Kong HK: (DC)Children Out of School: % of Primary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong SAR – Table HK.World Bank.WDI: Education Statistics. Children out of school are the percentage of primary-school-age children who are not enrolled in primary or secondary school. Children in the official primary age group that are in preprimary education should be considered out of school.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  13. H

    Hong Kong SAR, China HK: (DC)School Enrollment: Primary: % Net

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China HK: (DC)School Enrollment: Primary: % Net [Dataset]. https://www.ceicdata.com/en/hong-kong/education-statistics/hk-dcschool-enrollment-primary--net
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Education Statistics
    Description

    Hong Kong HK: (DC)School Enrollment: Primary: % Net data was reported at 97.334 % in 2016. This records an increase from the previous number of 93.928 % for 2015. Hong Kong HK: (DC)School Enrollment: Primary: % Net data is updated yearly, averaging 94.038 % from Dec 1971 (Median) to 2016, with 22 observations. The data reached an all-time high of 98.191 % in 1980 and a record low of 87.903 % in 1971. Hong Kong HK: (DC)School Enrollment: Primary: % Net data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong – Table HK.World Bank: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  14. H

    Hong Kong SAR, China HK: (DC)Adjusted Net Enrollment Rate: Primary: Female:...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China HK: (DC)Adjusted Net Enrollment Rate: Primary: Female: % of Primary School Age Children [Dataset]. https://www.ceicdata.com/en/hong-kong/education-statistics/hk-dcadjusted-net-enrollment-rate-primary-female--of-primary-school-age-children
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Education Statistics
    Description

    Hong Kong HK: (DC)Adjusted Net Enrollment Rate: Primary: Female: % of Primary School Age Children data was reported at 97.369 % in 2016. This records a decrease from the previous number of 97.719 % for 2015. Hong Kong HK: (DC)Adjusted Net Enrollment Rate: Primary: Female: % of Primary School Age Children data is updated yearly, averaging 94.940 % from Dec 1971 (Median) to 2016, with 22 observations. The data reached an all-time high of 98.919 % in 2012 and a record low of 86.559 % in 1971. Hong Kong HK: (DC)Adjusted Net Enrollment Rate: Primary: Female: % of Primary School Age Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong SAR – Table HK.World Bank.WDI: Education Statistics. Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  15. Hong Kong SAR, China HK: (DC)Children Out of School: Primary: Female

    • ceicdata.com
    Updated Feb 1, 2001
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    CEICdata.com (2001). Hong Kong SAR, China HK: (DC)Children Out of School: Primary: Female [Dataset]. https://www.ceicdata.com/en/hong-kong/education-statistics/hk-dcchildren-out-of-school-primary-female
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    Dataset updated
    Feb 1, 2001
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Education Statistics
    Description

    Hong Kong HK: (DC)Children Out of School: Primary: Female data was reported at 4,053.000 Person in 2016. This records an increase from the previous number of 3,370.000 Person for 2015. Hong Kong HK: (DC)Children Out of School: Primary: Female data is updated yearly, averaging 12,061.000 Person from Dec 1971 (Median) to 2016, with 22 observations. The data reached an all-time high of 40,990.000 Person in 1971 and a record low of 1,653.000 Person in 2012. Hong Kong HK: (DC)Children Out of School: Primary: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong SAR – Table HK.World Bank.WDI: Education Statistics. Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.; ; UNESCO Institute for Statistics; Sum; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  16. Hong Kong SAR, China HK: (DC)School Enrollment: Primary: % Gross

    • ceicdata.com
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    CEICdata.com, Hong Kong SAR, China HK: (DC)School Enrollment: Primary: % Gross [Dataset]. https://www.ceicdata.com/en/hong-kong/education-statistics/hk-dcschool-enrollment-primary--gross
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1991 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Education Statistics
    Description

    Hong Kong HK: (DC)School Enrollment: Primary: % Gross data was reported at 107.186 % in 2016. This records a decrease from the previous number of 109.220 % for 2015. Hong Kong HK: (DC)School Enrollment: Primary: % Gross data is updated yearly, averaging 107.293 % from Dec 1971 (Median) to 2016, with 32 observations. The data reached an all-time high of 121.146 % in 1976 and a record low of 96.978 % in 1998. Hong Kong HK: (DC)School Enrollment: Primary: % Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Hong Kong – Table HK.World Bank: Education Statistics. Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

  17. Japan (DC)Regular Employees Index: >30: FT:Trade,Eating & Drinking Place

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan (DC)Regular Employees Index: >30: FT:Trade,Eating & Drinking Place [Dataset]. https://www.ceicdata.com/en/japan/monthly-labour-survey-regular-employees-index-2000100/dcregular-employees-index-30-fttradeeating--drinking-place
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2004 - Dec 1, 2004
    Area covered
    Japan
    Variables measured
    Employment
    Description

    Japan (DC)Regular Employees Index: >30: FT:Trade,Eating & Drinking Place data was reported at 78.100 2000=100 in Dec 2004. This records a decrease from the previous number of 79.000 2000=100 for Nov 2004. Japan (DC)Regular Employees Index: >30: FT:Trade,Eating & Drinking Place data is updated monthly, averaging 85.000 2000=100 from Jan 2001 (Median) to Dec 2004, with 48 observations. The data reached an all-time high of 99.500 2000=100 in Jan 2001 and a record low of 78.100 2000=100 in Dec 2004. Japan (DC)Regular Employees Index: >30: FT:Trade,Eating & Drinking Place data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G078: Monthly Labour Survey: Regular Employees Index: 2000=100.

  18. J

    Japan (DC)Real Wage Index: >30: All Excl Services (AS)

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan (DC)Real Wage Index: >30: All Excl Services (AS) [Dataset]. https://www.ceicdata.com/en/japan/monthly-labour-survey-real-wage-index-2000100/dcreal-wage-index-30-all-excl-services-as
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2004 - Dec 1, 2004
    Area covered
    Japan
    Variables measured
    Wage/Earnings
    Description

    Japan (DC)Real Wage Index: >30: All Excl Services (AS) data was reported at 186.800 2000=100 in Dec 2004. This records an increase from the previous number of 86.500 2000=100 for Nov 2004. Japan (DC)Real Wage Index: >30: All Excl Services (AS) data is updated monthly, averaging 82.200 2000=100 from Jan 2001 (Median) to Dec 2004, with 48 observations. The data reached an all-time high of 193.900 2000=100 in Dec 2001 and a record low of 78.800 2000=100 in Feb 2001. Japan (DC)Real Wage Index: >30: All Excl Services (AS) data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G086: Monthly Labour Survey: Real Wage Index: 2000=100.

  19. Japan (DC)Real Wage Index: >30: AS: Contractual Cash Earnings

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    CEICdata.com, Japan (DC)Real Wage Index: >30: AS: Contractual Cash Earnings [Dataset]. https://www.ceicdata.com/en/japan/monthly-labour-survey-real-wage-index-2000100/dcreal-wage-index-30-as-contractual-cash-earnings
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2004 - Dec 1, 2004
    Area covered
    Japan
    Variables measured
    Wage/Earnings
    Description

    Japan (DC)Real Wage Index: >30: AS: Contractual Cash Earnings data was reported at 101.400 2000=100 in Dec 2004. This records an increase from the previous number of 101.100 2000=100 for Nov 2004. Japan (DC)Real Wage Index: >30: AS: Contractual Cash Earnings data is updated monthly, averaging 100.550 2000=100 from Jan 2001 (Median) to Dec 2004, with 48 observations. The data reached an all-time high of 102.100 2000=100 in Apr 2004 and a record low of 99.300 2000=100 in Jan 2003. Japan (DC)Real Wage Index: >30: AS: Contractual Cash Earnings data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G086: Monthly Labour Survey: Real Wage Index: 2000=100.

  20. Japan (DC)Regular Employees Index: >30: Transport and Communication

    • ceicdata.com
    Updated Apr 15, 2023
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    CEICdata.com (2023). Japan (DC)Regular Employees Index: >30: Transport and Communication [Dataset]. https://www.ceicdata.com/en/japan/monthly-labour-survey-regular-employees-index-2000100/dcregular-employees-index-30-transport-and-communication
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    Dataset updated
    Apr 15, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2004 - Dec 1, 2004
    Area covered
    Japan
    Variables measured
    Employment
    Description

    Japan (DC)Regular Employees Index: >30: Transport and Communication data was reported at 99.200 2000=100 in Dec 2004. This records an increase from the previous number of 98.100 2000=100 for Nov 2004. Japan (DC)Regular Employees Index: >30: Transport and Communication data is updated monthly, averaging 98.000 2000=100 from Jan 2001 (Median) to Dec 2004, with 48 observations. The data reached an all-time high of 100.300 2000=100 in Dec 2001 and a record low of 96.900 2000=100 in Mar 2003. Japan (DC)Regular Employees Index: >30: Transport and Communication data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G078: Monthly Labour Survey: Regular Employees Index: 2000=100.

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wWiseguy Research Consultants Pvt Ltd (2024). Global Automotive Small And Medium Dc Motor Market Research Report: By Voltage (Low Voltage (less than 30 volts), Medium Voltage (30-250 volts), High Voltage (above 250 volts)), By Power (Less than 1 kW, 1-10 kW, 10-50 kW, More than 50 kW), By Cooling Method (Air-Cooled, Water-Cooled), By Application (Power Windows, Automotive Seats, Heater/Ventilation, Engine Management, Other) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/automotive-small-and-medium-dc-motor-market

Global Automotive Small And Medium Dc Motor Market Research Report: By Voltage (Low Voltage (less than 30 volts), Medium Voltage (30-250 volts), High Voltage (above 250 volts)), By Power (Less than 1 kW, 1-10 kW, 10-50 kW, More than 50 kW), By Cooling Method (Air-Cooled, Water-Cooled), By Application (Power Windows, Automotive Seats, Heater/Ventilation, Engine Management, Other) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032.

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Dataset updated
Aug 24, 2024
Dataset authored and provided by
wWiseguy Research Consultants Pvt Ltd
License

https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

Time period covered
Jan 8, 2024
Area covered
Global
Description
BASE YEAR2024
HISTORICAL DATA2019 - 2024
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 20239.77(USD Billion)
MARKET SIZE 202410.21(USD Billion)
MARKET SIZE 203214.5(USD Billion)
SEGMENTS COVEREDVoltage ,Power ,Cooling Method ,Application ,Regional
COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
KEY MARKET DYNAMICSRising demand for electric vehicles Technological advancements in motors Increasing adoption of safety features Growing focus on fuel efficiency Expanding automotive industry in emerging markets
MARKET FORECAST UNITSUSD Billion
KEY COMPANIES PROFILEDJohnson Electric Holdings Limited ,Denso Corporation ,Regal Beloit Corp ,Ametek, Inc. ,Siemens AG ,Mitsuba Corporation ,Nanjing FJ Motor Group Co., Ltd. ,Electricfil Automotive ,Midea Motor Technology Co. Ltd. ,Mabuchi Motor Co., Ltd. ,Continental AG ,Valeo SA ,Portescap ,Nidec Corporation ,Lin Engineering Co. Ltd.
MARKET FORECAST PERIOD2025 - 2032
KEY MARKET OPPORTUNITIESElectrification Automation Hybrid amp Electric Vehicles Increasing Vehicle Production Growing Consumer Demand
COMPOUND ANNUAL GROWTH RATE (CAGR) 4.48% (2025 - 2032)
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