Japan Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011
Emp: Children Allowances
Emp: Children Allowances data was reported at 47,762.000 JPY mn in 2019. This records an increase from the previous number of 47,747.000 JPY mn for 2018. Emp: Children Allowances data is updated yearly, averaging 44,189.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 47,762.000 JPY mn in 2019 and a record low of 16,948.000 JPY mn in 2007. Emp: Children Allowances data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
47,762.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: Children Allowances from 2007 to 2019 in the chart:
Emp: Corporate Health Insurance Societies
Emp: Corporate Health Insurance Societies data was reported at 774,351.000 JPY mn in 2019. This records an increase from the previous number of 757,962.000 JPY mn for 2018. Emp: Corporate Health Insurance Societies data is updated yearly, averaging 637,468.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 774,351.000 JPY mn in 2019 and a record low of 547,832.000 JPY mn in 2007. Emp: Corporate Health Insurance Societies data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
774,351.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: Corporate Health Insurance Societies from 2007 to 2019 in the chart:
Emp: Funds
Emp: Funds data was reported at 4,092.000 JPY mn in 2019. This records an increase from the previous number of 4,075.000 JPY mn for 2018. Emp: Funds data is updated yearly, averaging 4,010.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 6,356.000 JPY mn in 2012 and a record low of 3,711.000 JPY mn in 2007. Emp: Funds data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
4,092.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: Funds from 2007 to 2019 in the chart:
Emp: Long-Term Care Insurance
Emp: Long-Term Care Insurance data was reported at 125,409.000 JPY mn in 2019. This records an increase from the previous number of 123,004.000 JPY mn for 2018. Emp: Long-Term Care Insurance data is updated yearly, averaging 91,694.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 125,409.000 JPY mn in 2019 and a record low of 70,245.000 JPY mn in 2009. Emp: Long-Term Care Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
125,409.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: Long-Term Care Insurance from 2007 to 2019 in the chart:
Emp: MBA: Mutual Aid Assoc. of National Public Service Personnel
Emp: MBA: Mutual Aid Assoc. of National Public Service Personnel data was reported at 254,490.000 JPY mn in 2019. This records an increase from the previous number of 246,518.000 JPY mn for 2018. Emp: MBA: Mutual Aid Assoc. of National Public Service Personnel data is updated yearly, averaging 203,818.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 254,490.000 JPY mn in 2019 and a record low of 183,678.000 JPY mn in 2007. Emp: MBA: Mutual Aid Assoc. of National Public Service Personnel data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
254,490.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: MBA: Mutual Aid Assoc. of National Public Service Personnel from 2007 to 2019 in the chart:
Emp: MBA: Mutual Aid Associations of Local Public Service Personnel
Emp: MBA: Mutual Aid Associations of Local Public Service Personnel data was reported at 161,136.000 JPY mn in 2019. This records an increase from the previous number of 157,098.000 JPY mn for 2018. Emp: MBA: Mutual Aid Associations of Local Public Service Personnel data is updated yearly, averaging 141,710.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 161,136.000 JPY mn in 2019 and a record low of 126,237.000 JPY mn in 2007. Emp: MBA: Mutual Aid Associations of Local Public Service Personnel data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
161,136.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: MBA: Mutual Aid Associations of Local Public Service Personnel from 2007 to 2019 in the chart:
Emp: MBA: Others
Emp: MBA: Others data was reported at 91,450.000 JPY mn in 2019. This records an increase from the previous number of 91,066.000 JPY mn for 2018. Emp: MBA: Others data is updated yearly, averaging 86,229.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 94,479.000 JPY mn in 2015 and a record low of 68,235.000 JPY mn in 2007. Emp: MBA: Others data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
91,450.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: MBA: Others from 2007 to 2019 in the chart:
Emp: Mutual Benefit Association (MBA)
Emp: Mutual Benefit Association (MBA) data was reported at 507,076.000 JPY mn in 2019. This records an increase from the previous number of 494,683.000 JPY mn for 2018. Emp: Mutual Benefit Association (MBA) data is updated yearly, averaging 430,825.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 507,076.000 JPY mn in 2019 and a record low of 378,150.000 JPY mn in 2007. Emp: Mutual Benefit Association (MBA) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
507,076.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: Mutual Benefit Association (MBA) from 2007 to 2019 in the chart:
Emp: SA: LI: Employment Insurance
Emp: SA: LI: Employment Insurance data was reported at 252,659.000 JPY mn in 2019. This records an increase from the previous number of 244,407.000 JPY mn for 2018. Emp: SA: LI: Employment Insurance data is updated yearly, averaging 315,611.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 394,552.000 JPY mn in 2007 and a record low of 244,407.000 JPY mn in 2018. Emp: SA: LI: Employment Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
252,659.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: SA: LI: Employment Insurance from 2007 to 2019 in the chart:
Emp: SA: LI: Industrial Accident Insurance
Emp: SA: LI: Industrial Accident Insurance data was reported at 195,893.000 JPY mn in 2019. This records a decrease from the previous number of 197,757.000 JPY mn for 2018. Emp: SA: LI: Industrial Accident Insurance data is updated yearly, averaging 193,917.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 255,954.000 JPY mn in 2009 and a record low of 171,650.000 JPY mn in 2013. Emp: SA: LI: Industrial Accident Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
195,893.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: SA: LI: Industrial Accident Insurance from 2007 to 2019 in the chart:
Emp: SA: Labor Insurance (LI)
Emp: SA: Labor Insurance (LI) data was reported at 448,552.000 JPY mn in 2019. This records an increase from the previous number of 442,164.000 JPY mn for 2018. Emp: SA: Labor Insurance (LI) data is updated yearly, averaging 497,843.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 621,236.000 JPY mn in 2007 and a record low of 442,164.000 JPY mn in 2018. Emp: SA: Labor Insurance (LI) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
448,552.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: SA: Labor Insurance (LI) from 2007 to 2019 in the chart:
Emp: SA: PP: Health Insurance
Emp: SA: PP: Health Insurance data was reported at 635,707.000 JPY mn in 2019. This records an increase from the previous number of 597,198.000 JPY mn for 2018. Emp: SA: PP: Health Insurance data is updated yearly, averaging 448,886.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 635,707.000 JPY mn in 2019 and a record low of 365,256.000 JPY mn in 2007. Emp: SA: PP: Health Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
635,707.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: SA: PP: Health Insurance from 2007 to 2019 in the chart:
Emp: SA: PP: Welfare Pension
Emp: SA: PP: Welfare Pension data was reported at 5,308,154.000 JPY mn in 2019. This records an increase from the previous number of 5,122,862.000 JPY mn for 2018. Emp: SA: PP: Welfare Pension data is updated yearly, averaging 3,969,088.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 5,308,154.000 JPY mn in 2019 and a record low of 3,332,499.000 JPY mn in 2007. Emp: SA: PP: Welfare Pension data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
5,308,154.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: SA: PP: Welfare Pension from 2007 to 2019 in the chart:
Emp: SA: Public Pension (excl Children Allowances) (PP)
Emp: SA: Public Pension (excl Children Allowances) (PP) data was reported at 5,943,862.000 JPY mn in 2019. This records an increase from the previous number of 5,720,059.000 JPY mn for 2018. Emp: SA: Public Pension (excl Children Allowances) (PP) data is updated yearly, averaging 4,417,974.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 5,943,862.000 JPY mn in 2019 and a record low of 3,697,755.000 JPY mn in 2007. Emp: SA: Public Pension (excl Children Allowances) (PP) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
5,943,862.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: SA: Public Pension (excl Children Allowances) (PP) from 2007 to 2019 in the chart:
Emp: SA: Seamen's Insurance
Emp: SA: Seamen's Insurance data was reported at 6,039.000 JPY mn in 2009. This records an increase from the previous number of 5,869.000 JPY mn for 2008. Emp: SA: Seamen's Insurance data is updated yearly, averaging 5,869.000 JPY mn from Mar 2007 (Median) to 2009, with 3 observations. The data reached an all-time high of 6,039.000 JPY mn in 2009 and a record low of 5,703.000 JPY mn in 2007. Emp: SA: Seamen's Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
6,039.000 2009 | yearly | 2007 - 2009 |
View Japan's Emp: SA: Seamen's Insurance from 2007 to 2009 in the chart:
Emp: Special Accounts (SA)
Emp: Special Accounts (SA) data was reported at 6,392,414.000 JPY mn in 2019. This records an increase from the previous number of 6,162,223.000 JPY mn for 2018. Emp: Special Accounts (SA) data is updated yearly, averaging 4,892,767.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 6,392,414.000 JPY mn in 2019 and a record low of 4,324,694.000 JPY mn in 2007. Emp: Special Accounts (SA) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
6,392,414.000 2019 | yearly | 2007 - 2019 |
View Japan's Emp: Special Accounts (SA) from 2007 to 2019 in the chart:
Employers' Actual Social Contributions (Emp): Total
Employers' Actual Social Contributions (Emp): Total data was reported at 7,851,103.000 JPY mn in 2019. This records an increase from the previous number of 7,589,694.000 JPY mn for 2018. Employers' Actual Social Contributions (Emp): Total data is updated yearly, averaging 6,095,339.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 7,851,103.000 JPY mn in 2019 and a record low of 5,344,094.000 JPY mn in 2007. Employers' Actual Social Contributions (Emp): Total data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
7,851,103.000 2019 | yearly | 2007 - 2019 |
View Japan's Employers' Actual Social Contributions (Emp): Total from 2007 to 2019 in the chart:
HA: Corporate Health Insurance Societies
HA: Corporate Health Insurance Societies data was reported at 648,964.000 JPY mn in 2019. This records an increase from the previous number of 635,190.000 JPY mn for 2018. HA: Corporate Health Insurance Societies data is updated yearly, averaging 529,420.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 648,964.000 JPY mn in 2019 and a record low of 443,505.000 JPY mn in 2007. HA: Corporate Health Insurance Societies data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
648,964.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: Corporate Health Insurance Societies from 2007 to 2019 in the chart:
HA: Funds
HA: Funds data was reported at 0.000 JPY mn in 2019. This stayed constant from the previous number of 0.000 JPY mn for 2014. HA: Funds data is updated yearly, averaging 0.000 JPY mn from Mar 2007 (Median) to 2019, with 9 observations. The data reached an all-time high of 0.000 JPY mn in 2019 and a record low of 0.000 JPY mn in 2019. HA: Funds data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
0.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: Funds from 2007 to 2019 in the chart:
HA: Japan Health Insurance Association
HA: Japan Health Insurance Association data was reported at 3,911.000 JPY mn in 2019. This records an increase from the previous number of 3,547.000 JPY mn for 2018. HA: Japan Health Insurance Association data is updated yearly, averaging 3,520.000 JPY mn from Mar 2009 (Median) to 2019, with 11 observations. The data reached an all-time high of 3,934.000 JPY mn in 2010 and a record low of 1,761.000 JPY mn in 2009. HA: Japan Health Insurance Association data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
3,911.000 2019 | yearly | 2009 - 2019 |
View Japan's HA: Japan Health Insurance Association from 2009 to 2019 in the chart:
HA: Latter-Stage Elderly Health Care
HA: Latter-Stage Elderly Health Care data was reported at 149,535.000 JPY mn in 2019. This records an increase from the previous number of 142,727.000 JPY mn for 2018. HA: Latter-Stage Elderly Health Care data is updated yearly, averaging 118,997.000 JPY mn from Mar 2009 (Median) to 2019, with 11 observations. The data reached an all-time high of 149,535.000 JPY mn in 2019 and a record low of 92,947.000 JPY mn in 2009. HA: Latter-Stage Elderly Health Care data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
149,535.000 2019 | yearly | 2009 - 2019 |
View Japan's HA: Latter-Stage Elderly Health Care from 2009 to 2019 in the chart:
HA: Long-Term Care Insurance
HA: Long-Term Care Insurance data was reported at 460,556.000 JPY mn in 2019. This records an increase from the previous number of 445,508.000 JPY mn for 2018. HA: Long-Term Care Insurance data is updated yearly, averaging 346,454.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 460,556.000 JPY mn in 2019 and a record low of 265,850.000 JPY mn in 2007. HA: Long-Term Care Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
460,556.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: Long-Term Care Insurance from 2007 to 2019 in the chart:
HA: MBA: Mutual Aid Assoc. of National Public Service Personnel
HA: MBA: Mutual Aid Assoc. of National Public Service Personnel data was reported at 254,490.000 JPY mn in 2019. This records an increase from the previous number of 246,518.000 JPY mn for 2018. HA: MBA: Mutual Aid Assoc. of National Public Service Personnel data is updated yearly, averaging 203,818.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 254,490.000 JPY mn in 2019 and a record low of 183,678.000 JPY mn in 2007. HA: MBA: Mutual Aid Assoc. of National Public Service Personnel data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
254,490.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: MBA: Mutual Aid Assoc. of National Public Service Personnel from 2007 to 2019 in the chart:
HA: MBA: Mutual Aid Associations of Local Public Service Personnel
HA: MBA: Mutual Aid Associations of Local Public Service Personnel data was reported at 161,136.000 JPY mn in 2019. This records an increase from the previous number of 157,098.000 JPY mn for 2018. HA: MBA: Mutual Aid Associations of Local Public Service Personnel data is updated yearly, averaging 141,710.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 161,136.000 JPY mn in 2019 and a record low of 126,237.000 JPY mn in 2007. HA: MBA: Mutual Aid Associations of Local Public Service Personnel data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
161,136.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: MBA: Mutual Aid Associations of Local Public Service Personnel from 2007 to 2019 in the chart:
HA: MBA: Others
HA: MBA: Others data was reported at 88,336.000 JPY mn in 2019. This records an increase from the previous number of 87,812.000 JPY mn for 2018. HA: MBA: Others data is updated yearly, averaging 80,586.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 90,209.000 JPY mn in 2015 and a record low of 68,227.000 JPY mn in 2007. HA: MBA: Others data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
88,336.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: MBA: Others from 2007 to 2019 in the chart:
HA: Mutual Benefit Association (MBA)
HA: Mutual Benefit Association (MBA) data was reported at 503,962.000 JPY mn in 2019. This records an increase from the previous number of 491,428.000 JPY mn for 2018. HA: Mutual Benefit Association (MBA) data is updated yearly, averaging 426,114.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 503,962.000 JPY mn in 2019 and a record low of 378,142.000 JPY mn in 2007. HA: Mutual Benefit Association (MBA) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
503,962.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: Mutual Benefit Association (MBA) from 2007 to 2019 in the chart:
HA: National Health Insurance
HA: National Health Insurance data was reported at 301,145.000 JPY mn in 2019. This records a decrease from the previous number of 302,782.000 JPY mn for 2018. HA: National Health Insurance data is updated yearly, averaging 302,782.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 345,997.000 JPY mn in 2008 and a record low of 281,882.000 JPY mn in 2011. HA: National Health Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
301,145.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: National Health Insurance from 2007 to 2019 in the chart:
HA: SA: LI: Employment Insurance
HA: SA: LI: Employment Insurance data was reported at 126,608.000 JPY mn in 2019. This records an increase from the previous number of 122,238.000 JPY mn for 2018. HA: SA: LI: Employment Insurance data is updated yearly, averaging 185,522.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 274,068.000 JPY mn in 2007 and a record low of 122,238.000 JPY mn in 2018. HA: SA: LI: Employment Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
126,608.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: SA: LI: Employment Insurance from 2007 to 2019 in the chart:
HA: SA: Labor Insurance (LI)
HA: SA: Labor Insurance (LI) data was reported at 126,608.000 JPY mn in 2019. This records an increase from the previous number of 122,238.000 JPY mn for 2018. HA: SA: Labor Insurance (LI) data is updated yearly, averaging 185,522.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 274,068.000 JPY mn in 2007 and a record low of 122,238.000 JPY mn in 2018. HA: SA: Labor Insurance (LI) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
126,608.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: SA: Labor Insurance (LI) from 2007 to 2019 in the chart:
HA: SA: PP: Health Insurance
HA: SA: PP: Health Insurance data was reported at 635,707.000 JPY mn in 2019. This records an increase from the previous number of 597,198.000 JPY mn for 2018. HA: SA: PP: Health Insurance data is updated yearly, averaging 448,886.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 635,707.000 JPY mn in 2019 and a record low of 365,256.000 JPY mn in 2007. HA: SA: PP: Health Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
635,707.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: SA: PP: Health Insurance from 2007 to 2019 in the chart:
HA: SA: PP: National Pension
HA: SA: PP: National Pension data was reported at 179,423.000 JPY mn in 2019. This records an increase from the previous number of 178,016.000 JPY mn for 2018. HA: SA: PP: National Pension data is updated yearly, averaging 188,390.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 212,877.000 JPY mn in 2007 and a record low of 178,016.000 JPY mn in 2018. HA: SA: PP: National Pension data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
179,423.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: SA: PP: National Pension from 2007 to 2019 in the chart:
HA: SA: PP: Welfare Pension
HA: SA: PP: Welfare Pension data was reported at 5,308,154.000 JPY mn in 2019. This records an increase from the previous number of 5,122,862.000 JPY mn for 2018. HA: SA: PP: Welfare Pension data is updated yearly, averaging 3,969,088.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 5,308,154.000 JPY mn in 2019 and a record low of 3,332,499.000 JPY mn in 2007. HA: SA: PP: Welfare Pension data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
5,308,154.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: SA: PP: Welfare Pension from 2007 to 2019 in the chart:
HA: SA: Public Pension (excl Children Allowances) (PP)
HA: SA: Public Pension (excl Children Allowances) (PP) data was reported at 6,123,285.000 JPY mn in 2019. This records an increase from the previous number of 5,898,076.000 JPY mn for 2018. HA: SA: Public Pension (excl Children Allowances) (PP) data is updated yearly, averaging 4,603,425.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 6,123,285.000 JPY mn in 2019 and a record low of 3,910,631.000 JPY mn in 2007. HA: SA: Public Pension (excl Children Allowances) (PP) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
6,123,285.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: SA: Public Pension (excl Children Allowances) (PP) from 2007 to 2019 in the chart:
HA: SA: Seamen's Insurance
HA: SA: Seamen's Insurance data was reported at 2,395.000 JPY mn in 2009. This records an increase from the previous number of 2,328.000 JPY mn for 2008. HA: SA: Seamen's Insurance data is updated yearly, averaging 2,395.000 JPY mn from Mar 2007 (Median) to 2009, with 3 observations. The data reached an all-time high of 2,399.000 JPY mn in 2007 and a record low of 2,328.000 JPY mn in 2008. HA: SA: Seamen's Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
2,395.000 2009 | yearly | 2007 - 2009 |
View Japan's HA: SA: Seamen's Insurance from 2007 to 2009 in the chart:
HA: Special Accounts (SA)
HA: Special Accounts (SA) data was reported at 6,249,893.000 JPY mn in 2019. This records an increase from the previous number of 6,020,314.000 JPY mn for 2018. HA: Special Accounts (SA) data is updated yearly, averaging 4,783,440.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 6,249,893.000 JPY mn in 2019 and a record low of 4,187,099.000 JPY mn in 2007. HA: Special Accounts (SA) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
6,249,893.000 2019 | yearly | 2007 - 2019 |
View Japan's HA: Special Accounts (SA) from 2007 to 2019 in the chart:
Households' Actual Social Contributions (HA): Total
Households' Actual Social Contributions (HA): Total data was reported at 8,317,965.000 JPY mn in 2019. This records an increase from the previous number of 8,041,496.000 JPY mn for 2018. Households' Actual Social Contributions (HA): Total data is updated yearly, averaging 6,503,854.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 8,317,965.000 JPY mn in 2019 and a record low of 5,613,177.000 JPY mn in 2007. Households' Actual Social Contributions (HA): Total data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
8,317,965.000 2019 | yearly | 2007 - 2019 |
View Japan's Households' Actual Social Contributions (HA): Total from 2007 to 2019 in the chart:
SSC: Children Allowances
SSC: Children Allowances data was reported at 47,762.000 JPY mn in 2019. This records an increase from the previous number of 47,747.000 JPY mn for 2018. SSC: Children Allowances data is updated yearly, averaging 44,189.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 47,762.000 JPY mn in 2019 and a record low of 16,948.000 JPY mn in 2007. SSC: Children Allowances data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
47,762.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: Children Allowances from 2007 to 2019 in the chart:
SSC: Corporate Health Insurance Societies
SSC: Corporate Health Insurance Societies data was reported at 1,423,315.000 JPY mn in 2019. This records an increase from the previous number of 1,393,152.000 JPY mn for 2018. SSC: Corporate Health Insurance Societies data is updated yearly, averaging 1,166,888.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 1,423,315.000 JPY mn in 2019 and a record low of 991,337.000 JPY mn in 2007. SSC: Corporate Health Insurance Societies data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
1,423,315.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: Corporate Health Insurance Societies from 2007 to 2019 in the chart:
SSC: Funds
SSC: Funds data was reported at 4,092.000 JPY mn in 2019. This records an increase from the previous number of 4,075.000 JPY mn for 2018. SSC: Funds data is updated yearly, averaging 4,010.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 6,356.000 JPY mn in 2012 and a record low of 3,711.000 JPY mn in 2007. SSC: Funds data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
4,092.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: Funds from 2007 to 2019 in the chart:
SSC: Japan Health Insurance Association
SSC: Japan Health Insurance Association data was reported at 3,911.000 JPY mn in 2019. This records an increase from the previous number of 3,547.000 JPY mn for 2018. SSC: Japan Health Insurance Association data is updated yearly, averaging 3,520.000 JPY mn from Mar 2009 (Median) to 2019, with 11 observations. The data reached an all-time high of 3,934.000 JPY mn in 2010 and a record low of 1,761.000 JPY mn in 2009. SSC: Japan Health Insurance Association data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
3,911.000 2019 | yearly | 2009 - 2019 |
View Japan's SSC: Japan Health Insurance Association from 2009 to 2019 in the chart:
SSC: Latter-Stage Elderly Health Care
SSC: Latter-Stage Elderly Health Care data was reported at 149,535.000 JPY mn in 2019. This records an increase from the previous number of 142,727.000 JPY mn for 2018. SSC: Latter-Stage Elderly Health Care data is updated yearly, averaging 118,997.000 JPY mn from Mar 2009 (Median) to 2019, with 11 observations. The data reached an all-time high of 149,535.000 JPY mn in 2019 and a record low of 92,947.000 JPY mn in 2009. SSC: Latter-Stage Elderly Health Care data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
149,535.000 2019 | yearly | 2009 - 2019 |
View Japan's SSC: Latter-Stage Elderly Health Care from 2009 to 2019 in the chart:
SSC: Long-Term Care Insurance
SSC: Long-Term Care Insurance data was reported at 585,965.000 JPY mn in 2019. This records an increase from the previous number of 568,512.000 JPY mn for 2018. SSC: Long-Term Care Insurance data is updated yearly, averaging 438,148.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 585,965.000 JPY mn in 2019 and a record low of 338,609.000 JPY mn in 2007. SSC: Long-Term Care Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
585,965.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: Long-Term Care Insurance from 2007 to 2019 in the chart:
SSC: MBA: Mutual Aid Assoc. of National Public Service Personnel
SSC: MBA: Mutual Aid Assoc. of National Public Service Personnel data was reported at 508,979.000 JPY mn in 2019. This records an increase from the previous number of 493,037.000 JPY mn for 2018. SSC: MBA: Mutual Aid Assoc. of National Public Service Personnel data is updated yearly, averaging 407,636.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 508,979.000 JPY mn in 2019 and a record low of 367,355.000 JPY mn in 2007. SSC: MBA: Mutual Aid Assoc. of National Public Service Personnel data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
508,979.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: MBA: Mutual Aid Assoc. of National Public Service Personnel from 2007 to 2019 in the chart:
SSC: MBA: Mutual Aid Associations of LocalPublicServicePersonnel
SSC: MBA: Mutual Aid Associations of LocalPublicServicePersonnel data was reported at 322,273.000 JPY mn in 2019. This records an increase from the previous number of 314,196.000 JPY mn for 2018. SSC: MBA: Mutual Aid Associations of LocalPublicServicePersonnel data is updated yearly, averaging 283,420.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 322,273.000 JPY mn in 2019 and a record low of 252,475.000 JPY mn in 2007. SSC: MBA: Mutual Aid Associations of LocalPublicServicePersonnel data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
322,273.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: MBA: Mutual Aid Associations of LocalPublicServicePersonnel from 2007 to 2019 in the chart:
SSC: MBA: Others
SSC: MBA: Others data was reported at 179,786.000 JPY mn in 2019. This records an increase from the previous number of 178,878.000 JPY mn for 2018. SSC: MBA: Others data is updated yearly, averaging 165,883.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 184,688.000 JPY mn in 2015 and a record low of 136,462.000 JPY mn in 2007. SSC: MBA: Others data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
179,786.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: MBA: Others from 2007 to 2019 in the chart:
SSC: Mutual Benefit Association (MBA)
SSC: Mutual Benefit Association (MBA) data was reported at 1,011,038.000 JPY mn in 2019. This records an increase from the previous number of 986,111.000 JPY mn for 2018. SSC: Mutual Benefit Association (MBA) data is updated yearly, averaging 856,940.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 1,011,038.000 JPY mn in 2019 and a record low of 756,292.000 JPY mn in 2007. SSC: Mutual Benefit Association (MBA) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
1,011,038.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: Mutual Benefit Association (MBA) from 2007 to 2019 in the chart:
SSC: National Health Insurance
SSC: National Health Insurance data was reported at 301,145.000 JPY mn in 2019. This records a decrease from the previous number of 302,782.000 JPY mn for 2018. SSC: National Health Insurance data is updated yearly, averaging 302,782.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 345,997.000 JPY mn in 2008 and a record low of 281,882.000 JPY mn in 2011. SSC: National Health Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
301,145.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: National Health Insurance from 2007 to 2019 in the chart:
SSC: SA: LI: Employment Insurance
SSC: SA: LI: Employment Insurance data was reported at 379,267.000 JPY mn in 2019. This records an increase from the previous number of 366,645.000 JPY mn for 2018. SSC: SA: LI: Employment Insurance data is updated yearly, averaging 501,133.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 668,620.000 JPY mn in 2007 and a record low of 366,645.000 JPY mn in 2018. SSC: SA: LI: Employment Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
379,267.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: SA: LI: Employment Insurance from 2007 to 2019 in the chart:
SSC: SA: LI: Industrial Accident Insurance
SSC: SA: LI: Industrial Accident Insurance data was reported at 195,893.000 JPY mn in 2019. This records a decrease from the previous number of 197,757.000 JPY mn for 2018. SSC: SA: LI: Industrial Accident Insurance data is updated yearly, averaging 193,917.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 255,954.000 JPY mn in 2009 and a record low of 171,650.000 JPY mn in 2013. SSC: SA: LI: Industrial Accident Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
195,893.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: SA: LI: Industrial Accident Insurance from 2007 to 2019 in the chart:
SSC: SA: Labor Insurance (LI)
SSC: SA: Labor Insurance (LI) data was reported at 575,160.000 JPY mn in 2019. This records an increase from the previous number of 564,402.000 JPY mn for 2018. SSC: SA: Labor Insurance (LI) data is updated yearly, averaging 686,300.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 895,304.000 JPY mn in 2007 and a record low of 564,402.000 JPY mn in 2018. SSC: SA: Labor Insurance (LI) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
575,160.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: SA: Labor Insurance (LI) from 2007 to 2019 in the chart:
SSC: SA: PP: Health Insurance
SSC: SA: PP: Health Insurance data was reported at 1,271,415.000 JPY mn in 2019. This records an increase from the previous number of 1,194,396.000 JPY mn for 2018. SSC: SA: PP: Health Insurance data is updated yearly, averaging 897,773.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 1,271,415.000 JPY mn in 2019 and a record low of 730,511.000 JPY mn in 2007. SSC: SA: PP: Health Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
1,271,415.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: SA: PP: Health Insurance from 2007 to 2019 in the chart:
SSC: SA: PP: National Pension
SSC: SA: PP: National Pension data was reported at 179,423.000 JPY mn in 2019. This records an increase from the previous number of 178,016.000 JPY mn for 2018. SSC: SA: PP: National Pension data is updated yearly, averaging 188,390.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 212,877.000 JPY mn in 2007 and a record low of 178,016.000 JPY mn in 2018. SSC: SA: PP: National Pension data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
179,423.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: SA: PP: National Pension from 2007 to 2019 in the chart:
SSC: SA: PP: Welfare Pension
SSC: SA: PP: Welfare Pension data was reported at 10,616,309.000 JPY mn in 2019. This records an increase from the previous number of 10,245,723.000 JPY mn for 2018. SSC: SA: PP: Welfare Pension data is updated yearly, averaging 7,938,176.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 10,616,309.000 JPY mn in 2019 and a record low of 6,664,998.000 JPY mn in 2007. SSC: SA: PP: Welfare Pension data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
10,616,309.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: SA: PP: Welfare Pension from 2007 to 2019 in the chart:
SSC: SA: Public Pension (excl Children Allowances) (PP)
SSC: SA: Public Pension (excl Children Allowances) (PP) data was reported at 12,067,147.000 JPY mn in 2019. This records an increase from the previous number of 11,618,135.000 JPY mn for 2018. SSC: SA: Public Pension (excl Children Allowances) (PP) data is updated yearly, averaging 9,021,399.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 12,067,147.000 JPY mn in 2019 and a record low of 7,608,386.000 JPY mn in 2007. SSC: SA: Public Pension (excl Children Allowances) (PP) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
12,067,147.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: SA: Public Pension (excl Children Allowances) (PP) from 2007 to 2019 in the chart:
SSC: SA: Seamen's Insurance
SSC: SA: Seamen's Insurance data was reported at 8,434.000 JPY mn in 2009. This records an increase from the previous number of 8,197.000 JPY mn for 2008. SSC: SA: Seamen's Insurance data is updated yearly, averaging 8,197.000 JPY mn from Mar 2007 (Median) to 2009, with 3 observations. The data reached an all-time high of 8,434.000 JPY mn in 2009 and a record low of 8,102.000 JPY mn in 2007. SSC: SA: Seamen's Insurance data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
8,434.000 2009 | yearly | 2007 - 2009 |
View Japan's SSC: SA: Seamen's Insurance from 2007 to 2009 in the chart:
SSC: Special Accounts (SA)
SSC: Special Accounts (SA) data was reported at 12,642,307.000 JPY mn in 2019. This records an increase from the previous number of 12,182,537.000 JPY mn for 2018. SSC: Special Accounts (SA) data is updated yearly, averaging 9,676,207.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 12,642,307.000 JPY mn in 2019 and a record low of 8,511,792.000 JPY mn in 2007. SSC: Special Accounts (SA) data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
12,642,307.000 2019 | yearly | 2007 - 2019 |
View Japan's SSC: Special Accounts (SA) from 2007 to 2019 in the chart:
Social Security Contributions (SSC): Total
Social Security Contributions (SSC): Total data was reported at 16,169,069.000 JPY mn in 2019. This records an increase from the previous number of 15,631,189.000 JPY mn for 2018. Social Security Contributions (SSC): Total data is updated yearly, averaging 12,599,193.000 JPY mn from Mar 2007 (Median) to 2019, with 13 observations. The data reached an all-time high of 16,169,069.000 JPY mn in 2019 and a record low of 10,957,271.000 JPY mn in 2007. Social Security Contributions (SSC): Total data remains active status in CEIC and is reported by Statistics of Tokyo. The data is categorized under Global Database’s Japan – Table JP.F035: Social Security Contributions: Tokyo Metropolitan: SNA 2008: Benchmark year=2011.
Last | Frequency | Range |
---|---|---|
16,169,069.000 2019 | yearly | 2007 - 2019 |