Germany FSO Projection: Population: Hessen data was reported at 5,786.000 Person th in 2060. This records a decrease from the previous number of 5,802.000 Person th for 2059. Germany FSO Projection: Population: Hessen data is updated yearly, averaging 6,113.000 Person th from Dec 2014 (Median) to 2060, with 47 observations. The data reached an all-time high of 6,204.000 Person th in 2023 and a record low of 5,786.000 Person th in 2060. Germany FSO Projection: Population: Hessen data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.G002: Population: Projection: Federal Statistics Office Germany.

The work of Kraus represents a collection of material on population, on population movement and on population structure according to age and sex. The study is subdivided into the individual member states of the German Confederation on the area of the future German Reich, the provinces of Prussia as well as the German Reich in total. The values to the variables inhabitants, marriages, number of births, number of deaths without stillborn ones, number of deaths are to be found in the a-tables. The number of inhabitants according to sex and the age groups of the inhabitants according to sex are to be found in the b-tables. A- and b-tables both contain absolute and relative numbers. Subjects: Tables in the ZA-Online-Database HISTAT: Tables of Population figure and population movement and tables of the distribution by age and sex for the German countries: - Kingdom of Wuerttemberg (Königreich Württemberg) (1815-1875) - Grand Duchy Baden (Großherzogtum Baden) (1815-1875) - Duchy of Braunschweig (Herzogtum Braunschweig) (1816-1875) - Kingdom of Saxony (Königreich Sachsen) (1815-1875) - Grand Duchy of Hesse (Großherzogtum Hessen) (1815-1875) - Kongdom of Bavaria (Königreich Bayern (mit Pfalz)) (Population figure and -movement: 1816-1875; Distribution by age and sex: 1834-1875) - Bavaria to the west of the Rhine: Palatinate (Pfalz) (1818-1875) - Grand Duchy of Mecklenburg-Strelitz, including the principality of Ratzeburg (Großherzogtum Mecklenburg-Strelitz, einschließlich des Fürstentums Ratzeburg) (1815-1875) - Grand Duchy of Mecklenburg-Schwerin (Großherzogtum Mecklenburg-Schwerin) (1815-1875) - Grand Duchy of Oldenburg (Großherzogtum Oldenburg) (1855-1875) - Kingdom of Hannover, since 1966 prussian province (Königreich Hannover, ab 1866 preußische Provinz Hannover) (1815-1875) - The various prussian administrative districts and provinces (1815-1875) - The Free Hanseatic Cities Hamburg, Luebeck and Bremen Tables of Population figure and population movement - The German Empire without Alsace-Lorraine (Deutsches Reich (ohne Elsaß-Lothringen)) (1841-1875) - The German Empire with Alsace-Lorraine (Deutsches Reich (mit Elsaß-Lothringen)) (1840-1875) - Alsace-Lorraine (Elsaß-Lothringen) (1821-1875)

The work of Kraus represents a collection of material on population, on population movement and on population structure according to age and sex.

The study is subdivided into the individual member states of the German Confederation on the area of the future German Reich, the provinces of Prussia as well as the German Reich in total. The values to the variables inhabitants, marriages, number of births, number of deaths without stillborn ones, number of deaths are to be found in the a-tables. The number of inhabitants according to sex and the age groups of the inhabitants according to sex are to be found in the b-tables. A- and b-tables both contain absolute and relative numbers.

Subjects:

Tables in the ZA-Online-Database HISTAT:

Tables of Population figure and population movement and tables of the distribution by age and sex for the German countries:

• Kingdom of Wuerttemberg (Königreich Württemberg) (1815-1875)
• Grand Duchy Baden (Großherzogtum Baden) (1815-1875)
• Duchy of Braunschweig (Herzogtum Braunschweig) (1816-1875)
• Kingdom of Saxony (Königreich Sachsen) (1815-1875)
• Grand Duchy of Hesse (Großherzogtum Hessen) (1815-1875)
• Kongdom of Bavaria (Königreich Bayern (mit Pfalz)) (Population figure and -movement: 1816-1875; Distribution by age and sex: 1834-1875)
• Bavaria to the west of the Rhine: Palatinate (Pfalz) (1818-1875)
• Grand Duchy of Mecklenburg-Strelitz, including the principality of Ratzeburg (Großherzogtum Mecklenburg-Strelitz, einschließlich des Fürstentums Ratzeburg) (1815-1875)
• Grand Duchy of Mecklenburg-Schwerin (Großherzogtum Mecklenburg-Schwerin) (1815-1875)
• Grand Duchy of Oldenburg (Großherzogtum Oldenburg) (1855-1875)
• Kingdom of Hannover, since 1966 prussian province (Königreich Hannover, ab 1866 preußische Provinz Hannover) (1815-1875)
• The various prussian administrative districts and provinces (1815-1875)
• The Free Hanseatic Cities Hamburg, Luebeck and Bremen

Tables of Population figure and population movement - The German Empire without Alsace-Lorraine (Deutsches Reich (ohne Elsaß-Lothringen)) (1841-1875) - The German Empire with Alsace-Lorraine (Deutsches Reich (mit Elsaß-Lothringen)) (1840-1875) - Alsace-Lorraine (Elsaß-Lothringen) (1821-1875)

Population pyramid age structure of Hesse and Germany in 2008 as calculated by the Federal Statistical Office (Statistisches Bundesamt), Wiesbaden, Germany. (PDF)

Sampling was based on a primary defined ratio schedule (sex, age, education).

FSO Projection：人口：黑森州在12-01-2060达5,786.000千人，相较于12-01-2059的5,802.000千人有所下降。FSO Projection：人口：黑森州数据按年更新，12-01-2014至12-01-2060期间平均值为6,113.000千人，共47份观测结果。该数据的历史最高值出现于12-01-2023，达6,204.000千人，而历史最低值则出现于12-01-2060，为5,786.000千人。CEIC提供的FSO Projection：人口：黑森州数据处于定期更新的状态，数据来源于Federal Statistics Office Germany，数据归类于全球数据库的德国 – 表 DE.G002：人口：预测：德国联邦统计局。

Background: Nutrient deficiency affects the growth and population dynamics of consumers. Endoparasites can be seen as consumers that drain carbon (C) or energy from their host while simultaneously competing for limiting resources such as phosphorus (P). Depending on the relative demands of the host and the parasite for the limiting nutrient, intensified resource competition under nutrient limitation can either reduce the parasite?s effect on the host or further reduce the fitness of the nutrient-limited host. So far, knowledge of how nutrient limitation affects parasite performance at the host population level and how this affects the host populations is limited. Results: We followed the population growth of Daphnia magna that were uninfected or experimentally infected with a microsporidian, Glugoides intestinalis. The Daphnia were fed either P-sufficient or P-limited algae. The P-limited diet decreased the population density and biomass compared with the populations fed with the P-sufficient algae. In the P-sufficient populations, infection with the parasite reduced the population density but not the biomass of Daphnia, while in the P-limited populations, both the density and biomass of Daphnia decreased toward the end of the 32?day experiment compared with the uninfected controls. The infected animals from the P-limited populations had higher parasite spore cluster counts, while, in a separate experiment, host diet quality did not affect the number of parasites in individually kept Daphnia. Conclusions: Because host diet quality did not affect parasite numbers at the individual level, we suggest that the higher parasite load in the P-limited populations is a result of feedback effects arising at the population level. Because of the density-dependent transmission of the parasite and the time lag between exposure and transmission, the lower host population density in the P-limited populations led to a higher spore:host ratio. This effect may have been further reinforced by decreases in filtration rates caused by crowding in the P-sufficient populations and/or increases in filtration rates as a response to poor food quality in the P-limited populations. The increases in exposure led to a higher parasite load and aggravated the negative effects of parasite infection at the population level.

Revenue generated in the healthcare sector fell at an average annual rate of 8.6 % between 2020 and 2025.In connection with the declining purchasing power of the population due to higher consumer prices, fewer dental and specialist services were utilised in 2022, a trend that continued in 2023. The inflation-related cost increases for energy, rents and wages were not or not fully taken into account in the prices that healthcare facilities are allowed to charge the health insurance funds. At the same time, revenue increases are capped by law. This has placed a heavy burden on the earnings situation of many players. Hospitals in particular have suffered greatly as a result of the large financial deficits and lack of liquidity support, which has led to a sharp rise in the number of insolvencies in 2023 and 2024.In the current year, turnover is expected to increase by 1.1% compared to the previous year, totalling 305.4 billion euros. In a European comparison, the German healthcare system is considered to be particularly expensive. The reasons for this are inefficient processes in numerous areas of healthcare as well as deficits in digitalisation, preventative medicine and inpatient care. As a result, the statutory health insurance funds are expecting high increases in expenditure for 2024 and 2025, which are due in particular to high cost increases for hospital services and medicines. Against this backdrop, the Bundestag passed the hospital reform in October 2024, which aims to improve the quality of care and stabilise contribution rates.In order to drive forward digitalisation in the healthcare sector, the electronic patient file will also be introduced for everyone from the beginning of 2025. This will provide insured persons with a largely automated, digital medication overview that doctors can view and thus better understand. For example, they will be able to see which medication is being taken.In the next five years, turnover in the healthcare sector will grow by an average of 3.3% per year, reaching 359.4 billion euros in 2030. In the future, an ageing population, advances in medicine and growing health awareness will continue to lead to higher demand for healthcare services, while high cost pressure is likely to result in more mergers. However, all healthcare services are based on the knowledge and expertise of healthcare professionals. There is a threat of a worsening staff shortage in the sector, which politicians are increasingly trying to counteract. It is also important to prevent the urban-rural divide in healthcare provision. Telemedicine is likely to play an important role in overcoming these challenges.

The company situation and the effects of structure change in agriculture. Topics: Judgement on the current development for the agricultural population; changes in one´s company; influence on choice of occupation of the children and influences on one´s own choice of occupation; reasons for choice of occupation as farmer; assessment of occupation prospects; family members helping; hourly wage for workers; detailed recording of mechanization of the company as well as its change from 1958 to 1966; sources of income and planned investments; judgement on prices and market situation for agricultural land; personal interest in purchase and judgement on development of the land market; length of family possession; training and origins of wife. With non-agricultural side jobs: type of activity; place of work; working hours. Without side job: interest in side job. Demography: school education; occupation; employment; professional career; household income; size of household; composition of household. Die betriebliche Situation und die Auswirkungen des Strukturwandels in der Landwirtschaft. Themen: Beurteilung der derzeitigen Entwicklung für die landwirtschaftliche Bevölkerung; Veränderungen im eigenen Betrieb; Einflußnahme auf die Berufswahl der Kinder und Einflüsse auf die eigene Berufswahl; Gründe für die Wahl des Berufs als Landwirt; Einschätzung der Berufsaussichten; mithelfende Familienangehörige; Stundenlohn für Aushilfskräfte; detaillierte Erfassung der Mechanisierung des Betriebs sowie deren Veränderung von 1958 bis 1966; Einkommensquellen und geplante Investitionen; Beurteilung der Preise und der Marktlage für landwirtschaftliche Grundstücke; eigenes Kaufinteresse und Beurteilung der Entwicklung des Bodenmarkts; Dauer des Familienbesitzes; Ausbildung und Herkunft der Ehefrau. Bei nichtlandwirtschaftlichen Nebentätigkeiten: Art der Tätigkeit; Arbeitsort; Arbeitszeit. Bei keiner Nebentätigkeit: Interesse an Nebentätigkeit. Demographie: Schulbildung; Beruf; Berufstätigkeit; Berufslaufbahn; Haushaltseinkommen; Haushaltsgröße; Haushaltszusammensetzung.

A. The effective population sizes of AMUs in NRW, as well as the regions and states according to NeEstimator, Wang et al. [57] and Caballero [58]. B. Effective population sizes of AMUs in Hesse, regions and states according to NeEstimator, Wang et al. [57] and Caballero [58].

The company situation and the effects of structure change in agriculture.

Topics: Judgement on the current development for the agricultural population; changes in one´s company; influence on choice of occupation of the children and influences on on

Judgment on parties and politicians before the state parliament election. Political questions on the state parliament election. Topics: most important problems in the state of Hesse; intent to participate in the next state parliament election in Hesse; absentee ballot preference; party preference (first vote and second vote as well as party one likes best); party inclination and party identification; point in time and certainty of one's voting decision; significance of state parliament election in Hesse at federal level; behavior at the polls in the last state parliament election; coalition preference; sympathy scale for the CDU, SPD, the Greens and the FDP at federal level as well as at state level; satisfaction scale for the achievements of the state government Hesse, the SPD, the Greens, the CDU and the FDP each at state level as well as satisfaction with the achievements of the SPD and the Greens in the Federal Government; degree of familiarity of the top candidates for the office of prime minister; sympathy scale for top politicians in the state as well as at federal level; interest in politics; preference for prime minister; comparison of credibility, energy, sympathy, sense of responsibility, expertise and the victory type of the two top candidates Eichel and Koch; assessment of the election chances of the alternative top candidate Petra Roth of the CDU; judgment on the general economic situation in Hesse and of one's own economic situation; expected economic situation for Hesse; comparison of the economic situation of the state with the rest of the western Federal Republic; most able party in the areas of business, job creation and fight against crime; personal feeling of threat from crime; attitude to nuclear power and the closure of nuclear power plants; preferred party in the area of environmental policy and education policies; general satisfaction with schools in Hesse; attitude to dual citizenship for foreigners; attitude to the collection of signatures by the CDU/CSU against dual citizenship; attitude to the accusation of hostility to foreigners by the CDU/CSU on the part of SPD and Greens; preferred party in the area of foreigner policies; attitude to construction of an additional runway for the Frankfurt airport; party most able to solve future problems of Hesse; judgment on the current prime minister; expected election winner in Hesse; expectation that the FDP as well as the Republicans will take seats in in the states parliament; judgment on the Republicans taking seats in the state parliament. Demography: eligibility to vote in Hesse; city size; age (classified); marital status; living together with a partner; school degree; completed apprenticeship; employment; assessment of personal jeopardy to job; professional position; size of household; number of members of household 18 years old and older; primary earner; employment of primary earner; professional position of primary earner; vocational certificate of primary earner; union member in household; religious denomination; religiousness; unemployment or jeopardy to job close persons; sex.

In der vorliegenden Studie werden vorhandene Daten zur Bevölkerungsstatistik (Geburten, Heiraten, Sterbefälle, Einwohner) auf der Basis der Preußischen Provinzen sowie anderer deutscher territorialer Gebietseinheiten für den Zeitraum von 1816 bis 1871 korrigiert und neu berechnet sowie fehlende Daten geschätzt. Zu den wesentlichen Verbesserungen dieser Datenkompilation gehört eine Verbreiterung des Quellmaterials, die Bestimmung der Bevölkerung für die Jahre zwischen den Volkszählungen auf der Basis des berichteten natürlichen Bevölkerungswachstums, und die Korrekturen der Bevölkerungsangaben der Volkszählungen aus den späten 1810er und 1830er Jahren. Die neu berechneten Bevölkerungsreihen legen es nahe, die Periode zwischen 1810 und 1870 als eine post-Malthusianische Epoche für Deutschland zu charakterisieren: ein hohes jährliches Bevölkerungswachstum geht einher mit weitestgehend stabilen Real-Löhnen für eine lange Periode. Die Expansion der Nachfrage nach Arbeit kompensiert die negativen Effekte des Bevölkerungswachstums auf den materiellen Wohlstand der Bevölkerung. (Georg Fertig et. al. (2018), S. 1) Zum Untersuchungsraum:Die Autoren haben es sich zum Ziel gesetzt, den Untersuchungsraum unter analytischen Gesichtspunkten so zu definieren, dass die Datenreihen mit den Daten des nachfolgenden Deutschen Reichs ab 1871 sowie mit den Daten für Deutschland in den Grenzen von 1990 vergleichbar sein sollen.Die Ergebnisse beziehen sich auf „diejenigen Gebiete, die sowohl Teil des Alten Reichs in den Grenzen von 1792 waren als auch zum Deutschen Bund zählten und schließlich beim 1871 neu gegründeten Kaiserreich verbleiben. Damit bleiben die historischen Kerngebiete Polens ebenso unberücksichtigt wie das mit dem Alten Reich nur lose verbundenen Ostpreußen. “ (Georg Fertig et.al. (2018), S. 4). Methodische Probleme:Je weiter die bevölkerungsstatistischen Daten zurückliegen, desto größer wird das Problem fehlender und verzerrter Werte. Die Autoren haben auf der Grundlage des ihnen zur Verfügung stehenden Quellenmaterials in der Forschung entwickelte Zählverbesserungen und Datenkorrekturen berücksichtigt. Dabei haben sie nach Möglichkeit zeitgenössisches Material herangezogen, um primär für die Zeit vor 1841 Bevölkerungsangaben zu korrigieren und zu ergänzen. Darüber hinaus haben sie die Interpolation der Bevölkerungsgröße für die Jahre zwischen den Volkszählungen im Vergleich zu den bisherigen Studien anders vorgenommen. Damit weichen die von den Autoren entwickelten Reihen von den bislang vorliegenden Zusammenstellungen teilweise deutlich ab. (Georg Fertig et.al. (2018), S. 7). Die erfassten und berechneten Zeitreihen-Daten beinhalten Vitalreihen (Geburten, Heiraten, Sterbefälle, Tot- und Lebendgeborene), den Einwohnerzahlen sowie die Größe der Territorien. Folgende Datentabellen können aus histat downgeloadet werden: A. Bevölkerungsstand und -bewegung in Preußen nach ProvinzenA.01 Provinz Holstein, 1815-1871A.02 Provinz Lauenburg, 1815-1871A.03 Provinz Brandenburg (ohne Berlin), 1815-1871A.04 Provinz Hessen-Nassau, 1866-1871A.05 Provinz Hohenzollern, 1815-1871A.06 Provinz Ostpreußen, 1815-1871A.07 Provinz Pommern, 1815-1871A.08 Provinz Posen, 1815-1871A.09 Provinz Sachsen, 1815-1871A.10 Provinz Schlesien, 1815-1871A.11 Provinz Westfalen, 1815-1871A.12 Provinz Westpreußen, 1815-1871A.13 Rheinprovinz, 1815-1871A.14 Provinz Berlin, 1815-1871 B. Weitere TerritorienB.01 Bevölkerungsstand und -bewegung der Region ´Amt Bergdorf´, 1815-1871B.02 Bevölkerungsstand und -bewegung der Hansestadt Bremen, 1815-1871B.03 Bevölkerungsstand und -bewegung der Stadt Hamburg, 1815-1871B.04 Bevölkerungsstand und -bewegung der Stadt Lübeck, 1815-1871B.05 Bevölkerungsstand und -bewegung der Stadt Frankfurt am Main, 1815-1871B.06 Bevölkerungsstand und -bewegung des Fürstentums Lippe-Detmold, 1815-1871B.07 Bevölkerungsstand und -bewegung des Fürstentums Schaumburg-Lippe, 1815-1871B.08 Bevölkerungsstand und -bewegung des Fürstentums Waldeck-Pyrmont, 1815-1871B.09 Bevölkerungsstand und -bewegung des Großherzogtums Oldenburg, 1815-1871B.10 Bevölkerungsstand und -bewegung des Großherzogtums Baden, 1815-1871B.11 Bevölkerungsstand und -bewegung Hessens, 1815-1871B.12 Bevölkerungsstand und -bewegung des Großherzog. Mecklenburg-Schwerin, 1815-1871B.13 Bevölkerungsstand und -bewegung des Großherzog. Mecklenburg-Strelitz (einschließlich des Fürstentums Ratzeburg), 1815-1871B.14 Bevölkerungsstand und -bewegung des Herzogtums Anhalt, 1815-1871B.15 Bevölkerungsstand und -bewegung des Herzogtums Braunschweig, 1815-1871B.16 Bevölkerungsstand und -bewegung im Herzogtum Nassau (bis 1865), 1815-1865B.17 Bevölkerungsstand und -bewegung des Herzogtums Schleswig, 1815-1871B.18 Bevölkerungsstand und -bewegung im Königreich Württemberg, 1815-1871B.19 Bevölkerungsstand und -bewegung im Königreich Bayern, 1815-1871B.20 Bevölkerungsstand und -bewegung im Königreich Hannover, 1815-1871B.21 Bevölkerungsstand und -bewegung im Königreich Sachsen, 1815-1871B.22 B...

On average, the industry recorded an annual increase in turnover of 2.5% between 2020 and 2025. In January 2023, the list of diagnoses was expanded, allowing doctors to prescribe long-term remedies for more illnesses without fear of budget restrictions and possible recourse claims. This is likely to have a positive impact on the utilisation of services and turnover for companies in the sector in the long term. In addition, prices for physiotherapy and physiotherapy treatments increased. However, these increases in turnover were not enough to offset the inflationary price pressure caused by rising wages and material costs, which is why personnel and material costs are likely to continue to rise. In light of the cost increases in 2023 and 2024, the associations of healthcare providers have agreed with the National Association of Statutory Health Insurance Funds on a 6.4% increase in service remuneration, starting in January 2024. The new state aid regulations are likely to provide new impetus for growth from 2025. Since November 2024, remedies for the physiotherapeutic treatment of shoulder injuries have been reimbursable as part of a blank prescription, while occupational therapy has been reimbursable since August. This allows practices to customise their services to patients' needs and bill health insurance companies directly without the need for regular new medical prescriptions. This additional room for manoeuvre should have a positive impact on sales development in the coming years and lay the foundation for more independent provision of therapeutic products, less dependent on medical prescriptions. In 2025, industry turnover of 38 billion euros is expected to be generated, which corresponds to growth of 0.9% compared to the previous year.The industry will benefit from the rising demand for healthcare services in the coming years. Due to the ageing population and patients' increased willingness to make more co-payments for healthcare services, annual revenue growth of 2.1% on average is expected in the period from 2025 to 2030 and industry revenue of 42.2 billion euros in 2030. One challenge is the shortage of specialists, which jeopardises the provision of medical care to the growing number of patients. The high bureaucratic administrative burden ties up staff and further exacerbates this problem. Digitalisation and telematics infrastructure have an increasing influence on the development of the healthcare professions and will contribute to improving healthcare. At the same time, the implementation of digital processes can relieve the burden on staff and better counteract the shortage of skilled labour.

A. Description of the red deer administrative management units (AMUs) in North Rhine-Westphalia (NRW). B. Description of the red deer administrative management units (AMUs) in Hesse.

Das Zentrum für Krebsregisterdaten im Robert Koch-Institut erstellt auf Basis der in den Bundesländern jährlich erfassten Krebsneuerkrankungen fortlaufend einen aktualisierten Datensatz zu Krebsneuerkrankungen in Deutschland. Seit dem Jahr 2009 werden in ganz Deutschland flächendeckend alle neuauftretenden Krebserkrankungen systematisch auf Basis eigener Ländergesetze erfasst. Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten Register Der Datensatz basiert auf den Daten der epidemiologischen Landeskrebsregister zu jährlich erfassten Krebsneuerkrankungen im jeweiligen Bundesland.

Die Bevölkerungsuntersuchung wurde für zwei benachbarte, reine Bauerngemeinden im südlichen Vogelsberg (Oberhessen) durchgeführt: das Pfarrdorf Burkhards und seine Filiale Kaulstoß. Als Quellenmaterial für die historische Bearbeitung wurden Kirchenbücher, Kirchenchronik und das Gemeindearchiv herangezogen. Im Zentrum des historischen Teils der Untersuchung stehen Variablen der Bevölkerungsbewegung (neben den Einwohnerzahlen Eheschließungen, Geburten, Säuglingssterblichkeit und Todesfälle). Themen: Datentabellen in HISTAT: 1. Einwohnerzahlen Burkhards und Kaulstoß, absolut (1630-1933)2. Entwicklung der Bevölkerung in Burkhards und Kaulstoß, absolute Zahlen (1660-1930)3. Entwicklung der Bevölkerung in Burkhards und Kaulstoß, Verhältniszahlen (1660-1930)4. Bevölkerungsentwicklung der Gemeinden im Vergleich zum Reichsdurchschnitt, Verhältniszahlen (1850-1930)5. Säuglingssterblichkeit der Gemeinden im Vergleich zum Reichsdurchschnitt, Verhältniszahlen (1740-1930)6. Todesfälle der Gemeinden im Vergleich zur Säuglingssterblichkeit, Verhältniszahlen (1740-1930)7. Verhältniszahlen von Knaben- und Mädchengeburten, Gestorbenenverhältnis (1650-1930)8. Zahl der unehelichen Kinder, Verhältniszahlen (1660-1930) This study deals with the population development of two neighbouring farmer villages in a southern region called ‘Vogelsberg’ in upper Hesse, Germany. These villages are Burkhard and Kaulstoss. The sources of this work are church registres, chirch chronicles and the villages’ archive. The focus of consideration is the population movement, including aspects like number of inhabitants, marriage, birth, infant mortality and cases of death. Topics:Data Tables in HISTAT:1. number of inhabitants in Burkhard and Kaulstoss, absolute (1630-1933)2. population development in Burkhard and Kaulstoss, absolute (1660-1930)3. population development in Burkhard and Kaulstoss, ration (1660-1930)4. population development of the villages compared to the German Empire’s average, ratio (1850-1930)5. infant mortality of the villages compared to the German Empire’s average, ration (1740-1930)6. deaths of the villages compard to the German Empire’s average ration (1740-1930)7. ratio of male and female birth, ration of deaths (1650-1930)8. Number of children born out of wedlock, ration (1660-1930)