Baselight

Causes Of Death - Standardised Death Rate By Country Of Residence, Monthly Data

Eurostat code: hlth_cd_msdr2 ยท (2019-01 - 2022-12)

@eurostat.hlth_cd_msdr2

Causes Of Death - Standardised Death Rate By Country Of Residence, Monthly Data - Raw
@eurostat.hlth_cd_msdr2.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

  • 1.94 MB
  • 22032 rows
  • 54 columns
freq

Freq

unit

Unit

sex

Sex

age

Age

icd10

Icd10

geo

Geo

n_2019_01

2019-01

n_2019_02

2019-02

n_2019_03

2019-03

n_2019_04

2019-04

n_2019_05

2019-05

n_2019_06

2019-06

n_2019_07

2019-07

n_2019_08

2019-08

n_2019_09

2019-09

n_2019_10

2019-10

n_2019_11

2019-11

n_2019_12

2019-12

n_2020_01

2020-01

n_2020_02

2020-02

n_2020_03

2020-03

n_2020_04

2020-04

n_2020_05

2020-05

n_2020_06

2020-06

n_2020_07

2020-07

n_2020_08

2020-08

n_2020_09

2020-09

n_2020_10

2020-10

n_2020_11

2020-11

n_2020_12

2020-12

n_2021_01

2021-01

n_2021_02

2021-02

n_2021_03

2021-03

n_2021_04

2021-04

n_2021_05

2021-05

n_2021_06

2021-06

n_2021_07

2021-07

n_2021_08

2021-08

n_2021_09

2021-09

n_2021_10

2021-10

n_2021_11

2021-11

n_2021_12

2021-12

n_2022_01

2022-01

n_2022_02

2022-02

n_2022_03

2022-03

n_2022_04

2022-04

n_2022_05

2022-05

n_2022_06

2022-06

n_2022_07

2022-07

n_2022_08

2022-08

n_2022_09

2022-09

n_2022_10

2022-10

n_2022_11

2022-11

n_2022_12

2022-12

MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Austria71.1867.4571.7864.1761.1758.9860.8559.5259.1264.7262.9666.4374.266.9572.2366.7159.7457.7559.4661.5660.8768.5487.0294.9782.2464.5667.0865.7762.463.3860.7663.4164.169.1680.2182.69
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Belgium73.1770.3770.6461.3263.2858.6861.6259.1856.7562.2862.8968.5370.6765.3879.44110.2467.1757.2256.270.3857.1272.5395.7482.2472.7761.864.1862.861.5155.4960.0756.0756.6767.4668.8275.67
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Bulgaria135.83104.86108.1999.810197.5793.8693.5784.0498.63100.18105.37112.09106.02102.3895.9494.6492.7498.9996.8790.98109.21183.27183.32125.41109.33157.6170.39121.71102.4101.77113.86130.45179.14191.68159.04
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Cyprus91.3873.5476.6969.8372.0646.8761.9864.4555.1858.7157.4572.590.1475.5674.5468.7675.950.762.1654.1854.0760.7362.4881.5285.7668.575.0778.9262.2254.6982.690.6962.3265.5867.2484.79
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Czechia88.9281.8782.3476.1474.6373.6975.5474.4171.9479.6276.9182.3983.881.0984.8275.7372.5672.6373.9977.3576.59115.61128.45115.26125.3106.01125.8491.0676.0470.5870.9870.7573.4782.84104.73112.63
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Denmark78.4472.6873.172.2669.6567.4465.1365.9366.4866.4968.9674.6372.9166.373.1971.9366.5163.3665.7765.9365.1365.7668.9380.380.9564.7265.864.4568.8965.568.4671.0868.8574.4373.0781.85
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Estonia84.1873.5576.3966.568.9968.5771.6769.0266.5969.8868.2872.5673.287579.0273.4469.0868.6269.969.4573.0671.7770.1480.4389.5183.496.1788.877.6376.8374.3672.8174.9786.2195.6194.4
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Greece85.6370.8570.8965.7864.3566.0864.7866.7859.0860.5863.5370.4981.8271.373.5763.9562.9460.5966.969.7261.1162.178.5582.1772.5762.5975.9375.9472.0568.9777.5986.1167.9369.4679.690.46
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Spain67.8156.7455.4150.9650.8847.7450.8547.8544.8149.2551.5254.8164.0554.3982.5492.952.8846.4452.3654.6750.6957.6861.6560.8374.457.6852.1950.249.5447.5551.4755.3547.6650.4254.2961.27
MonthlyRateFemalesTotalAll causes of death (A00-Y89) excluding S00-T98Finland70.5960.868.8161.5459.4256.0357.9158.0161.2864.0360.2967.2162.3960.9465.367.5463.5759.3557.9758.9461.0463.361.5467.3566.1259.4962.6357.6660.3257.6261.6463.6563.6367.7867.672.57

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "icd10" VARCHAR,
  "geo" VARCHAR,
  "n_2019_01" DOUBLE,
  "n_2019_02" DOUBLE,
  "n_2019_03" DOUBLE,
  "n_2019_04" DOUBLE,
  "n_2019_05" DOUBLE,
  "n_2019_06" DOUBLE,
  "n_2019_07" DOUBLE,
  "n_2019_08" DOUBLE,
  "n_2019_09" DOUBLE,
  "n_2019_10" DOUBLE,
  "n_2019_11" DOUBLE,
  "n_2019_12" DOUBLE,
  "n_2020_01" DOUBLE,
  "n_2020_02" DOUBLE,
  "n_2020_03" DOUBLE,
  "n_2020_04" DOUBLE,
  "n_2020_05" DOUBLE,
  "n_2020_06" DOUBLE,
  "n_2020_07" DOUBLE,
  "n_2020_08" DOUBLE,
  "n_2020_09" DOUBLE,
  "n_2020_10" DOUBLE,
  "n_2020_11" DOUBLE,
  "n_2020_12" DOUBLE,
  "n_2021_01" DOUBLE,
  "n_2021_02" DOUBLE,
  "n_2021_03" DOUBLE,
  "n_2021_04" DOUBLE,
  "n_2021_05" DOUBLE,
  "n_2021_06" DOUBLE,
  "n_2021_07" DOUBLE,
  "n_2021_08" DOUBLE,
  "n_2021_09" DOUBLE,
  "n_2021_10" DOUBLE,
  "n_2021_11" DOUBLE,
  "n_2021_12" DOUBLE,
  "n_2022_01" DOUBLE,
  "n_2022_02" DOUBLE,
  "n_2022_03" DOUBLE,
  "n_2022_04" DOUBLE,
  "n_2022_05" DOUBLE,
  "n_2022_06" DOUBLE,
  "n_2022_07" DOUBLE,
  "n_2022_08" DOUBLE,
  "n_2022_09" DOUBLE,
  "n_2022_10" DOUBLE,
  "n_2022_11" DOUBLE,
  "n_2022_12" DOUBLE
);

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