Human Generated Data

Title

Housing, Conditions: Germany: Housing Conditions, German Cities: Charts showing the correlation of income of tenants and the amount of rent paid. The variations of rent with size of dwelling is shown in the diagram at the lower right hand corner. (See: Der Städtebau nach den ergebnissen der Allgemeinen Städtebau-Ausstellung in Berlin, by Werner Hegemann: Go.53.200.1)

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Archival Material

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1625.2

Human Generated Data

Title

Housing, Conditions: Germany: Housing Conditions, German Cities: Charts showing the correlation of income of tenants and the amount of rent paid. The variations of rent with size of dwelling is shown in the diagram at the lower right hand corner. (See: Der Städtebau nach den ergebnissen der Allgemeinen Städtebau-Ausstellung in Berlin, by Werner Hegemann: Go.53.200.1)

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Archival Material

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1625.2

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Text 95.7
Page 92.8
Plot 57.2

Clarifai
created on 2019-06-07

graph 98
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Imagga
created on 2019-06-07

equipment 60.8
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Google
created on 2019-06-07

Text 93.7
Music 84
Font 75
Parallel 66

Microsoft
created on 2019-06-07

screenshot 95.6
design 56.4
parallel 52.7

Color Analysis

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Imagga

text visuals 100%

Captions

Microsoft
created by unknown on 2019-06-07

a screenshot of a cell phone 85.2%
a close up of a device 83.3%
a screenshot from a cell phone 77.3%

Clarifai
created by general-english-image-caption-blip on 2025-06-13

a photograph of a chart of the world's most popular and most popular data of the world -100%

OpenAI GPT

Created by gpt-4o-2024-11-20 on 2025-06-14

This image is a detailed infographic written in German, entitled "Einkommen und Miete" (Income and Rent). It represents historical data comparing the proportion of income spent on rent in different cities over time and the relationship between living space and rental costs.

The image is divided into three main sections:

  1. Income and Rent Proportions in Hamburg and Breslau:

    • Hamburg Data:
      • Bar graphs spanning the years 1866, 1874, 1892, 1891, and 1901.
      • Income ranges are categorized (e.g., from "bis 900 Mk" [up to 900 marks] to "über 60,000 Mk" [over 60,000 marks]).
      • Each graph illustrates the percentage (% of income) spent on rent, showing a decrease in rent burden as income increases.
    • Breslau Data:
      • A similar format, comparing data from 1890 and 1900.
      • The overall trend is identical (higher percentages of income spent on rent for lower incomes).
  2. Wohnungsgrösse und Miete (Living Space and Rent):

    • "Zu beachten: Je kleiner die Wohnung, desto teurer die Miete!” ("Notice: The smaller the apartment, the more expensive the rent!")
    • Displays rental cost per cubic meter of living space in Fürth (1901/02), Augsburg (1904), and Posen (1905/06, Stadtarme [Urban Poor]).
    • Bar graphs show variations in rental costs based on the number of rooms (from 1 to 6+). Smaller units generally have higher rental costs per cubic meter.

Key insights from the image:

  • Historical trends show that renters with smaller incomes often spent a larger percentage of their earnings on rent.
  • Living costs per cubic meter were generally higher for smaller apartments or rooms, emphasizing affordability challenges for low-income households.
  • Rent affordability varied slightly across cities (Hamburg, Breslau, Fürth, Augsburg, and Posen).

This infographic is a visualization of urban inequality and housing-related financial burdens during the late 19th and early 20th centuries in Germany.

Created by gpt-4o-2024-08-06 on 2025-06-14

The image is a historical chart titled "Einkommen und Miete" (Income and Rent), which is presented in German. It depicts how rent as a percentage of income was distributed across different income levels and time periods in several German cities: Hamburg, Breslau (now Wrocław, Poland), Fürth, Augsburg, and Posen (now Poznań, Poland).

Top Section:

  • Hamburg: The chart shows data for the years 1868, 1874, 1892, 1891, and 1901. The horizontal axis represents income brackets in Marks, from "bis 900" (up to 900 Marks) to "über 60000" (over 60,000 Marks). The vertical axis indicates the percentage of income spent on rent. Different colored bars represent each year, illustrating how the percentage of income spent on rent changed over time for each income bracket in Hamburg.

  • Breslau: The chart shows data for the years 1890 and 1900. Similar to Hamburg, it illustrates the percentage of income spent on rent for various income brackets, with bars representing the two respective years.

Bottom Section:

  • Wohnungsgröße und Miete (Apartment size and rent): This section examines how rent varies with apartment size across three cities (Fürth, Augsburg, and Posen).

    • Fürth: Data from 1901/02 is shown, with rent per cubic meter plotted for apartment sizes ranging from 1 to 4 rooms, plus an additional category labeled "u.m." (possibly standing for additional or unspecified space).

    • Augsburg: Data from 1904 is presented similarly, with room sizes from 1 to 6.

    • Posen (Stadtarme): Data from 1905/06 shows how rent, measured again per cubic meter, varies for sizes ranging from "östl. bis 10" (possibly referring to room sizes or rental categories) to "90 bis 100", using black bars for coding.

Key Notes:

  • A note in German highlights the concept: "Je niedriger das Einkommen, desto höher die Miete!" which means "The lower the income, the higher the rent!". Another note adds "Die Mietquote ist bei den kleinen Einkommen gestiegen, bei den großen gesunken!" emphasizing that the rental proportion increased for lower incomes and decreased for higher incomes over time.
  • Another note explains the bottom section: "Je kleiner die Wohnung, desto teurer die Miete!", translating to "The smaller the apartment, the more expensive the rent!".

The chart provides insights into the historical relationship between income, rent, and housing sizes in German cities around the turn of the 20th century.

Meta Llama

Created by us.meta.llama3-2-11b-instruct-v1:0 on 2025-06-13

The image presents a collection of bar graphs, each accompanied by a title and a key, which appear to be in German. The graphs are arranged in a vertical column, with the titles and keys situated above each graph.

Graph 1: Einkommen und Miete.
The first graph is titled "Einkommen und Miete," which translates to "Income and Rent." It features a key with five colors, each representing a different year: 1868 (yellow), 1874 (light blue), 1882 (green), 1891 (pink), and 1901 (black). The x-axis displays numerical values ranging from 900 to 60000, while the y-axis shows percentages from 0% to 50%. The graph illustrates the percentage of income spent on rent for various income levels.

Graph 2: Breslau.
The second graph is titled "Breslau," which is a city in Poland. It has a key with four colors: 1880 (black), 1880 (green), 1900 (black), and 1900 (green). The x-axis represents numerical values from 420 to 60000, and the y-axis displays percentages from 0% to 30%. This graph likely shows the percentage of income spent on rent in Breslau for different income levels.

Graph 3: Wohnungsgrosse und Miete.
The third graph is titled "Wohnungsgrosse und Miete," which translates to "Room Size and Rent." It features a key with three colors: 1901/02 (green), Augsburg (pink), and 1904 (black). The x-axis displays numerical values from 1 to 8, and the y-axis shows numerical values from 0 to 6. This graph appears to illustrate the relationship between room size and rent.

Graph 4: Posen (Stadtarme).
The fourth graph is titled "Posen (Stadtarme)," which translates to "Posen (City Arms)." It has a key with five colors: 1905/06 (black), 1905/06 (gray), 1905/06 (white), 1905/06 (black), and 1905/06 (gray). The x-axis represents numerical values from 10 to 120, and the y-axis displays numerical values from 0 to 6. This graph likely shows the distribution of city arms in Posen.

Overall, the image presents a collection of bar graphs that appear to be related to income, rent, and room size in various cities. The graphs provide a visual representation of the data, allowing for easy comparison and analysis.

Created by us.meta.llama3-2-90b-instruct-v1:0 on 2025-06-13

This image depicts a vintage German-language chart, likely created in the early 20th century, featuring three distinct sections. The top section is titled "Einkommen und Miete" and presents a bar graph comparing income and rent in Hamburg from 1868 to 1901. The middle section, also titled "Einkommen und Miete," displays a similar bar graph for Breslau from 1850 to 1900. The bottom section, titled "Wohnungsgrösse und Miete," shows a bar graph illustrating the relationship between apartment size and rent in Fürth and Augsburg in 1901/02 and 1904.

The charts are rendered in muted colors, with a predominantly beige background and black text. The overall design suggests that this chart was created for educational or informational purposes, possibly as part of a larger publication or presentation.

Amazon Nova

Created by amazon.nova-lite-v1:0 on 2025-06-14

The image is a historical infographic from Germany, showing the relationship between income, rent, and housing size in different cities across the country. The infographic is divided into three sections, each focusing on a different aspect of the relationship between income, rent, and housing size.

The first section shows the percentage of income that goes towards rent for different income levels in Hamburg and Breslau. The graph shows that for lower income levels, a larger percentage of income goes towards rent, while for higher income levels, a smaller percentage of income goes towards rent. The graph also shows that the percentage of income that goes towards rent has decreased over time for both cities.

The second section shows the average rent for different housing sizes in Augsburg, Fürth, and Posen. The graph shows that the average rent increases as the housing size decreases. The graph also shows that the average rent has increased over time for all three cities.

The third section shows the average rent for different housing sizes in Augsburg, Fürth, and Posen. The graph shows that the average rent increases as the housing size decreases. The graph also shows that the average rent has increased over time for all three cities.

Overall, the infographic suggests that there is a strong relationship between income, rent, and housing size, with lower income levels and smaller housing sizes generally resulting in higher rent as a percentage of income. The infographic also suggests that the relationship between income, rent, and housing size has changed over time, with average rent increasing over time for all three cities.

Created by amazon.nova-pro-v1:0 on 2025-06-14

The image is a vintage infographic from the early 20th century, presenting data on income and rent in various German cities. The infographic is divided into two main sections: "Einkommen und Miete" (Income and Rent) and "Wohnungsgrösse und Miete" (Housing Size and Rent).

Section 1: Einkommen und Miete

Title: Einkommen und Miete

Subtitle:

  • "Zu beachten: Je niedriger das Einkommen, desto höher die Miete!"
  • "Die Mietquote ist bei den kleinen Einkommen gestigen, bei den grossen gesunken!"
  • "Die Miete beträgt durchschnittlich in Prozent des Einkommens:"

Graph:

  • The graph is a bar chart comparing income levels (Eink.) in marks (Mk.) against rent (Miete) in percentages for different years.
  • The income levels are categorized as follows: 900, 1200, 1800, 2400, 3000, 3600, 4200, 4800, 6000, 12000, 30000, and over 60000 marks.
  • The years compared are 1868, 1874, 1882, 1891, and 1901.
  • The bars are color-coded for each year:
    • 1868: Yellow
    • 1874: Light Blue
    • 1882: Green
    • 1891: Pink
    • 1901: Black

Section 2: Wohnungsgrösse und Miete

Title: Wohnungsgrösse und Miete

Subtitle:

  • "Zu beachten: Je kleiner die Wohnung, desto teurer die Miete!"
  • "1 Kubikmeter Wohnraum kostete durchschnittlich an Miete:"

Graph:

  • The graph is a bar chart comparing the cost of rent per cubic meter of living space for different cities.
  • The cities listed are: Mark, Fürth, Augsburg, and Posen (Stadtarme).
  • The years compared are 1901/02, 1904, and 1905/06.
  • The bars are color-coded for each year:
    • 1901/02: Green
    • 1904: Pink
    • 1905/06: Black

Analysis and Description

Section 1: Einkommen und Miete

  • The graph illustrates the relationship between income and rent over several years.
  • It shows that lower-income groups tend to spend a higher percentage of their income on rent, while higher-income groups spend a lower percentage.
  • The trend indicates that as income increases, the proportion of income spent on rent decreases.
  • The color-coding helps differentiate the data for each year, allowing for a clear comparison of how this relationship has evolved over time.

Section 2: Wohnungsgrösse und Miete

  • This graph compares the cost of rent per cubic meter of living space in different cities over specific years.
  • It highlights that smaller living spaces tend to be more expensive per cubic meter, indicating a higher cost per unit area for smaller apartments.
  • The data is presented for four cities, with each city's rent cost per cubic meter shown for three different years.
  • The color-coding again aids in distinguishing the data for each year, providing a clear visual representation of the changes in rent costs over time.

Integrated Knowledge

  • The data reflects common economic principles where lower-income households often face higher rent burdens relative to their income, a phenomenon known as "rent burden."
  • The trend of smaller living spaces being more expensive per unit area is typical in urban areas where space is limited and demand is high.

This infographic serves as a historical snapshot of economic conditions and housing costs in early 20th-century Germany, providing valuable insights into the socio-economic dynamics of the time.

Google Gemini

Created by gemini-2.0-flash on 2025-06-13

Here is a description of the image:

The image presents a comparative analysis of income, rent, and housing size in different cities and time periods. It consists of three separate bar graph sections, each providing different insights into the relationship between these factors.

The first section, titled "Einkommen und Miete" (Income and Rent) focuses on Hamburg, displaying rent as a percentage of income across various income brackets for the years 1868, 1874, 1882, 1891, and 1901. The x-axis represents income ranges in Mark (Mk.), and the y-axis indicates the percentage of income spent on rent. Different colored bars represent the different years, allowing for a visual comparison of rent trends over time for each income group.

The second section, also titled "Einkommen und Miete," analyzes the relationship between income and rent in Breslau for the years 1880 and 1900. The format is similar to the Hamburg section, with income ranges on the x-axis and rent as a percentage of income on the y-axis.

The third section, titled "Wohnungsgrösse und Miete" (Housing Size and Rent), examines the average cost of rent per cubic meter of living space in Fürth (1901/02), Augsburg (1904), and Posen (Stadtarme) (1905/06). The x-axis represents the number of rooms (Zimmer) or cubic meter ranges, and the y-axis indicates the cost in Mark. Each city is represented by a different set of bars, enabling a comparison of housing costs based on size across these locations.

Annotations in German provide context for the graphs, emphasizing that rent tends to be higher for lower-income individuals and that smaller apartments have a higher rent per cubic meter.

Created by gemini-2.0-flash-lite on 2025-06-13

Here's a description of the image:

Overall Structure:

The image is a historical statistical chart, likely from the late 19th or early 20th century. It's divided into sections focusing on income, rent, and housing size. The text is in German.

Sections & Data:

  • Section 1: "Einkommen und Miete" (Income and Rent):

    • This section has two bar graphs showing rent as a percentage of income over time, for Hamburg and Breslau.
    • Hamburg: The first graph shows rent in Hamburg from 1868 to 1901. The x-axis represents income brackets (in Marks), and the y-axis is the percentage of income spent on rent. Different colored bars represent different years.
    • Breslau: The second graph in this section similarly shows rent in Breslau for the years 1880 and 1900, again with the income brackets on the x-axis and percentage of rent on the y-axis.
  • Section 2: "Wohnungsgrösse und Miete" (Housing Size and Rent):

    • This section presents a bar graph with data from Fürth, Augsburg, and Posen.
    • Fürth & Augsburg: The x-axis shows the number of rooms or unit of measure (u.m.), and the y-axis shows the average rent.
    • Posen: The x-axis represents the total size of the living space, and the y-axis represents the average rent, and it is in larger increments than the Fürth and Augsburg graph.

Overall Observations

  • The chart illustrates how rent and income are related.
  • The data shows fluctuations in rents over time and across different cities.
  • The data also shows the connection between the size of a housing unit and its cost.
  • The inclusion of time periods and geographic locations gives context to the economic situations.

Mistral Pixtral

Created by us.mistral.pixtral-large-2502-v1:0 on 2025-06-13

The image contains two sets of graphs, each analyzing the relationship between income/rent and living space in different German cities and time periods.

Top Graph: Einkommen und Miete (Income and Rent)

This section examines the percentage of income spent on rent in Hamburg and Breslau over various years.

Hamburg

  • Years Analyzed: 1868, 1874, 1882, 1891, 1901
  • Income Ranges: From 900 Marks to over 60,000 Marks.
  • Observation: The percentage of income spent on rent decreases as income increases. The data shows a consistent pattern where lower-income households spend a higher percentage of their income on rent compared to higher-income households.

Breslau

  • Years Analyzed: 1880, 1900
  • Income Ranges: From 420 Marks to over 60,000 Marks.
  • Observation: Similar to Hamburg, lower-income households spend a higher percentage of their income on rent. The trend shows that as income increases, the percentage of income spent on rent decreases.

Bottom Graph: Wohnungsgrösse und Miete (Living Space and Rent)

This section examines the cost per cubic meter of living space in different cities.

Fürth

  • Year Analyzed: 1901/02
  • Living Space Ranges: 1 to 8 rooms.
  • Observation: The cost per cubic meter of living space varies with the number of rooms. Generally, smaller living spaces (fewer rooms) have a higher cost per cubic meter.

Augsburg

  • Year Analyzed: 1904
  • Living Space Ranges: 1 to 6 rooms.
  • Observation: Similar to Fürth, smaller living spaces tend to have a higher cost per cubic meter.

Posen

  • Year Analyzed: 1905/06
  • Living Space Ranges: 10 to over 130 cubic meters.
  • Observation: The cost per cubic meter decreases as the living space increases. Larger living spaces have a lower cost per cubic meter.

General Observations

  • Income and Rent: Lower-income households spend a higher percentage of their income on rent.
  • Living Space and Rent: Smaller living spaces tend to have a higher cost per cubic meter, while larger living spaces have a lower cost per cubic meter.

The graphs effectively illustrate the economic burden of rent on different income groups and the cost efficiency of larger living spaces.

Text analysis

Amazon

Einkommen
Miete
durchschnittlich
Miete.
Einkommen und Miete.
Die
Einkommens:
Hamburg
Prozent
und
Die Miete betrug durchschnittlich in Prozent des Einkommens:
betrug
Mietsquote
des
in
Miete!
Einkommen,
gesunken!
dea
bei
grossen
3000
4200
4800
2400
1800
den
1868
1901
das
desto
niedriger
gestiegen,
Die Mietsquote ist bei den kleinen Einkommen gestiegen, bei dea grossen gesunken!
hoher
900 1200 1800 2400
1874
die
Hamburg 1868 1874 1882 1891 1901
Eink. 3000 B600 4200 4800
Zu beachten: Je niedriger das Einkommen, desto hoher die Miete!
1200
1891
900
B600
ist
Je
kleinen
Eink.
1882
15
Zu beachten:
0

Google

Einkommen und Miete. Zu beachten: Je niedriger das Einkommen, desto höher die Miete! Die Mietsquote ist bei den kleinen Einkommen gestiegen, bei den grossen gesunken! Die Miete betrug durchschnittlich in Prozent des Einkommens: % 30 Hamburg 1868D 1874 1891 1882 1901 25 20 15 10 0 Eink. (Mk.) 1200 bis 1800 2400 bis 8000 006 bis 1800 bis 2400 3000 bis 8600 8600 bis 4200 4200 bis 4800 4800 bis 6000 12000 bis 80000 30000 bis 60000 6000 bis 12000 über 60000 1200 30 Breslau 1880 1900 25 20 15 10 0 1500 1800 bis bis 1800 2400 2400 3000 8600 4800 6000 9000 12000 15000 18000 24000 30000 86000 48000 über bis bis 420 bis 600 600 bis 900 1200 bis bis 1200 1500 Eink bis bis 60000 bis bis bis 8000 3600 4800 bis bis bis 6000 9000 12000 15000 18000 24000 30000 86000 48000 60000 bis bis bis bis (Mk) 420 006 Wohnungsgrösse und Miete. Zu beachten: Je kleiner die Wohnung, desto teurer die Miete! 1 Kubikmeter Wohnraum kostete durchschnittlich an Miete: Mark 6.00 Posen Fürth Augsburg 5.00 (Stadtarme) 1905/06 1904 1901/02 4.00 8.00 2.00 1.00 0.00 Zimmer: 1 2 1 2 4 5 6 4 5 6 u. m. n. m. 60 bis 70 190-250
Einkommen
und
Miete.
Zu
beachten:
Je
niedriger
das
Einkommen,
desto
höher
die
Miete!
Die
Mietsquote
ist
bei
den
kleinen
gestiegen,
grossen
gesunken!
Miete
betrug
durchschnittlich
in
Prozent
des
Einkommens:
%
30
Hamburg
1868D
1874
1891
1882
1901
25
20
15
10
0
Eink.
(Mk.)
1200
bis
1800
2400
8000
006
3000
8600
4200
4800
6000
12000
80000
30000
60000
über
Breslau
1880
1900
1500
9000
15000
18000
24000
86000
48000
420
600
900
Eink
3600
(Mk)
Wohnungsgrösse
kleiner
Wohnung,
teurer
1
Kubikmeter
Wohnraum
kostete
an
Miete:
Mark
6.00
Posen
Fürth
Augsburg
5.00
(Stadtarme)
1905/06
1904
1901/02
4.00
8.00
2.00
1.00
0.00
Zimmer:
2
4
5
6
u.
m.
n.
60
70
190-250