Standard populations used for age standardization in the information system of the Federal Health Monitoring. Classification: age, sex, type of standard population

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Age	Sex, Type of standardization
	All sexes									Male									Female
	Standard population "Germany 2011" Info	Standard population "Germany 1987" Info	Standard population of Europe 2013 Info	Standard population "Old Länder 1987" Info	Standard population "New Länder 1987" Info	New standard population of Europe Info	Old standard population of Europe Info	World standard population Info	Standard population OECD Info	Standard population "Germany 2011" Info	Standard population "Germany 1987" Info	Standard population of Europe 2013 Info	Standard population "Old Länder 1987" Info	Standard population "New Länder 1987" Info	New standard population of Europe Info	Old standard population of Europe Info	World standard population Info	Standard population OECD Info	Standard population "Germany 2011" Info	Standard population "Germany 1987" Info	Standard population of Europe 2013 Info	Standard population "Old Länder 1987" Info	Standard population "New Länder 1987" Info	New standard population of Europe Info	Old standard population of Europe Info	World standard population Info	Standard population OECD Info
Under 1 year	666,759	846,006	1,000	621,216	224,790	1,305	1,600	2,400	1,624	341,619	433,978	1,000	318,932	115,046	1,345	1,600	2,400	1,624	325,140	412,028	1,000	302,284	109,744	1,218	1,600	2,400	1,624
1 year to under 5 years	2,721,901	3,269,865	4,000	2,363,528	906,337	5,021	6,400	9,600	6,322	1,396,314	1,677,504	4,000	1,212,628	464,876	5,303	6,400	9,600	6,322	1,325,588	1,592,361	4,000	1,150,900	441,461	4,800	6,400	9,600	6,322
5 to under 10 years	3,523,284	4,078,603	5,500	2,929,037	1,149,566	6,472	7,000	10,000	8,089	1,807,953	2,090,884	5,500	1,502,515	588,369	6,800	7,000	10,000	8,089	1,715,332	1,987,719	5,500	1,426,522	561,197	6,160	7,000	10,000	8,089
10 to under 15 years	3,916,377	3,906,961	5,500	2,989,258	917,703	6,772	7,000	9,000	8,304	2,008,600	2,002,744	5,500	1,532,798	469,946	7,108	7,000	9,000	8,304	1,907,778	1,904,217	5,500	1,456,460	447,757	6,452	7,000	9,000	8,304
15 to under 20 years	4,048,364	5,537,664	5,500	4,390,590	1,147,074	7,208	7,000	9,000	8,560	2,074,450	2,837,797	5,500	2,249,951	587,846	7,570	7,000	9,000	8,560	1,973,915	2,699,867	5,500	2,140,639	559,228	6,863	7,000	9,000	8,560
20 to under 25 years	4,838,349	6,698,846	6,000	5,326,401	1,372,445	7,792	7,000	8,000	8,200	2,466,850	3,438,432	6,000	2,733,325	705,107	8,163	7,000	8,000	8,200	2,371,499	3,260,414	6,000	2,593,076	667,338	7,438	7,000	8,000	8,200
25 to under 30 years	4,834,567	6,262,120	6,000	4,913,116	1,349,004	7,871	7,000	8,000	7,813	2,446,053	3,209,666	6,000	2,518,300	691,366	8,206	7,000	8,000	7,813	2,388,514	3,052,454	6,000	2,394,816	657,638	7,552	7,000	8,000	7,813
30 to under 35 years	4,757,909	5,584,219	6,500	4,313,030	1,271,189	7,528	7,000	6,000	7,625	2,387,215	2,840,935	6,500	2,192,311	648,624	7,811	7,000	6,000	7,625	2,370,695	2,743,284	6,500	2,120,719	622,565	7,258	7,000	6,000	7,625
35 to under 40 years	4,734,075	5,298,702	7,000	4,206,056	1,092,646	7,212	7,000	6,000	6,307	2,374,563	2,693,695	7,000	2,138,355	555,340	7,448	7,000	6,000	6,307	2,359,513	2,605,007	7,000	2,067,701	537,306	6,986	7,000	6,000	6,307
40 to under 45 years	6,299,641	4,662,696	7,000	3,763,026	899,670	6,860	7,000	6,000	5,831	3,182,282	2,383,997	7,000	1,934,441	449,556	7,068	7,000	6,000	5,831	3,117,359	2,278,699	7,000	1,828,585	450,114	6,661	7,000	6,000	5,831
45 to under 50 years	6,982,467	6,204,254	7,000	4,912,419	1,291,835	5,865	7,000	6,000	5,563	3,534,271	3,169,028	7,000	2,525,431	643,597	5,997	7,000	6,000	5,563	3,448,197	3,035,226	7,000	2,386,988	648,238	5,739	7,000	6,000	5,563
50 to under 55 years	6,228,119	5,145,720	7,000	4,064,246	1,081,474	5,876	7,000	5,000	5,462	3,128,216	2,604,586	7,000	2,069,907	534,679	5,937	7,000	5,000	5,462	3,099,904	2,541,134	7,000	1,994,339	546,795	5,817	7,000	5,000	5,462
55 to under 60 years	5,424,374	4,549,035	6,500	3,616,027	933,008	5,553	6,000	4,000	5,083	2,673,676	2,236,172	6,500	1,795,124	441,048	5,521	6,000	4,000	5,083	2,750,698	2,312,863	6,500	1,820,903	491,960	5,585	6,000	4,000	5,083
60 to under 65 years	4,708,873	4,085,505	6,000	3,321,383	764,122	5,245	5,000	4,000	3,894	2,302,427	1,688,679	6,000	1,396,196	292,483	5,015	5,000	4,000	3,894	2,406,446	2,396,826	6,000	1,925,187	471,639	5,463	5,000	4,000	3,894
65 to under 70 years	4,154,918	3,277,097	5,500	2,649,382	627,715	4,680	4,000	3,000	3,883	1,990,768	1,230,499	5,500	1,010,315	220,184	4,139	4,000	3,000	3,883	2,164,151	2,046,598	5,500	1,639,067	407,531	5,196	4,000	3,000	3,883
70 to under 75 years	4,909,618	2,854,797	5,000	2,321,663	533,134	2,932	3,000	2,000	3,177	2,268,245	1,006,643	5,000	832,189	174,454	2,449	3,000	2,000	3,177	2,641,373	1,848,154	5,000	1,489,474	358,680	3,392	3,000	2,000	3,177
75 to under 80 years	3,299,291	2,787,967	4,000	2,226,625	561,342	2,897	2,000	1,000	2,265	1,426,130	920,218	4,000	742,136	178,082	2,228	2,000	1,000	2,265	1,873,161	1,867,749	4,000	1,484,489	383,260	3,536	2,000	1,000	2,265
80 to under 85 years	2,327,472	1,719,902	2,500	1,375,064	344,838	1,606	1,000	500	1,232	880,475	530,988	2,500	424,156	106,832	1,094	1,000	500	1,232	1,446,997	1,188,914	2,500	950,908	238,006	2,076	1,000	500	1,232
85 years and older	-	-	-	-	-	-	1,000	-	766	-	-	-	-	-	-	1,000	-	766	-	-	-	-	-	-	1,000	-	766
85 to under 90 years	1,339,192	728,973	1,500	585,999	142,974	1,044	-	400	-	371,230	193,112	1,500	151,888	41,224	638	-	400	-	967,962	535,861	1,500	434,111	101,750	1,446	-	400	-
90 years and older	559,444	219,408	1,000	188,976	30,432	261	-	100	-	115,948	46,301	1,000	42,025	4,276	160	-	100	-	443,499	173,107	1,000	146,951	26,156	362	-	100	-
Unknown	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

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Definition(s)

• Age standardization

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  Age standardization

  Standardizations are arithmetic techniques for producing comparable epidemiological measures of structurally different populations. There can be a difference in structure of the population for example in terms of age, sex and/or other characteristics. The standardization by age occurs most often because the information is usually available and the age is important for the most health problems.
  Use: Age standardizations based on a standard population are often used at cancer registries to compare morbidity or mortality rates. If there are different age structures in populations of different regions or in a population in one region over time, mortality or morbidity rates is only limited. For interregional or inter-temporal comparability of their comparisons, therefore, an age standardization is necessary.For this purpose the age structure of a reference population, the so-called standard population, is assumed for the study population. The age specific mortality or morbidity rates of the study population are weighted according to the age structure of the standard population.
  Interpretation: By an age standardization, data of different years or regions are comparable, without distortion because of different age structures. In the interpretation of age standardized morbidity or mortality rates it is important to notice that they are not real information in the sense of empirically observable data. In fact, they describe, how the mortality or morbidity rate would be, if the reference population and the standard population were equal, thus abstracting from age structure effects.

  Sources:

  • www.rki.de
  • Forschungs- und Entwicklungsgesellschaft Hessen; Hessisches Sozialministerium (Hrsg.) (2001): Indikatorenkatalog zum Hessischen Gesundheitsbericht 2001. Wiesbaden

  Standard populations

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  Standard populations

   Standard populations are "artificial populations" with fictitious age structures, that are used in age standardization as uniform basis for the calculation of comparable measures for the respective reference population(s).
  
  Use:
  Age standardizations based on a standard population are often used at cancer registries to compare morbidity or mortality rates. If there are different age structures in populations of different regions or in a population in one region over time, the comparability of their mortality or morbidity rates is only limited. For interregional or inter-temporal comparisons, therefore, an age standardization is necessary. For this purpose the age structure of a reference population, the so-called standard population, is assumed for the study population. The age specific mortality or morbidity rates of the study population are weighted according to the age structure of the standard population.
  Selection of a standard population:
  Which standard population is used for comparison basically, does not matter. It is important, however, that
  

  a) the demographic structure of the standard population is not too dissimilar to that of the reference population and

  
  
  

  b) the comparable rates refer to the same standard.

  The old standard population of Europe, the standard population of Europe 2013, the world standard population and the standard population OECD assumes that the groups of women and men have an identical age structure (age and sex standardization). That is why they are recommended for comparisons between men and women (see table).
  
  Interpretation:
  After an age standardization, data of different years or regions are comparable without distortion because of different age structures. In the interpretation of age standardized morbidity or mortality rates it is important to notice that they are not real information in the sense of empirically observable data. In fact, they describe, what the mortality or morbidity rate would be like, if the reference population and the standard population were equal, thus abstracting from age structure effects.

  Sources:

  • www.rki.de
  • Ministerium für Gesundheit, Soziales, Frauen und Familie des Landes Nordrhein-Westfalen (Hrsg.) (2003): Indikatorensatz für die Gesundheitsberichterstattung der Länder. (Dritte, neu bearbeitete Fassung). Düsseldorf, S. 740 ff.

   

   

  Standard populations for age standardization used in the Health Monitoring System	Data owner: data source + comments
  Standard population "Germany 1987"	Federal Statistical Office: Statistics on the natural movement of the population Year of the population census in the former federal territory
  Standard population "Old Länder 1987"	Federal Statistical Office: Statistics on the natural movement of the population
  Standard population "New Länder 1987"	Federal Statistical Office: Statistics on the natural movement of the population
  Standard population of Europe 2013	The Standard population of Europe 2013 assumes that the groups of women and men have an identical age structure.
  New standard population of Europe	WHO 1990
  Old standard population of Europe	WHO (1976) The old standard population of Europe assumes that the groups of women and men have an identical age structure.
  World standard population	United Nations World Populations Prospects The world standard population assumes that the groups of women and men have an identical age structure.
  Standard population OECD	Age structure of the OECD countries 1980 For further information see: www.ecosante.org/OCDEENG/112000.html This standard population assumes that the groups of women and men have an identical age structure.

  Sources:

  • www.rki.de
  • www.lzg.gc.nrw.de
  • www.ecosante.org/OCDEENG/112000.html
  • Ministerium für Gesundheit, Soziales, Frauen und Familie des Landes Nordrhein-Westfalen (Hrsg.) (2003): Indikatorensatz für die Gesundheitsberichterstattung der Länder (Dritte, neu bearbeitete Fassung). Düsseldorf.

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The Federal Health Monitoring System 25. Apr 2024