Average Age of Farmers by Owner Category

Tables

• Average Age of Farmers by Owner CategoryTSV

  This table contains data from the 'average age of farmers by owner category' dataset obtained from the website of Luke, an Finnish Natural Resources Institute. The data represents the average age of farmers categorized by different owner categories. The table provides information on the extraction date of the data, row numbers, codes, and labels associated with each owner category. This dataset can be utilized in data analytics to gain insights into the demographic distribution of farmers based on their average age and owner category. The information in this table can be used to analyze trends, identify patterns, and make data-driven decisions related to agriculture and farming practices in Finland.

• Average Age of Farmers by Owner CategoryTSV

  This table provides data on the average age of farmers by owner category in Finland. It is sourced from the website of Luke, the Natural Resources Institute Finland. The data includes information such as the extraction date, row number, year, ELY Centre, owner category, and average age of farmers. The table can be utilized in data analytics to analyze trends and patterns in the age distribution of farmers based on different owner categories. It can help researchers and analysts understand the demographics of agricultural populations and identify potential areas for support or improvement.

• Average Age of Farmers by Owner Category and YearTSV

  This table provides information on the average age of farmers by owner category and year. The data is sourced from the 'Luke' website, which originates from Finland (ISO country code: FI). The table contains columns such as '_extract_date', '_row_number', 'code', and 'label'. The data in this table can be utilized in various data analytics scenarios, such as: Analyzing the trends in the average age of farmers over the years. Comparing the average age of farmers across different owner categories. Identifying any significant changes in the average age of farmers by analyzing the '_extract_date' column. Investigating the distribution of farmer ages based on the 'code' column. Please note that the individual column descriptions are not included in this response.

• Average Age of Farmers by Owner Category: ELY CentreTSV

  This table contains data on the average age of farmers categorized by owner category in different ELY centres in Finland. The data is sourced from the website of Luke, which is the Natural Resources Institute Finland. The table includes information such as the extraction date of the data, row number, code, and label of the categories. The data in this table can be utilized in various data analytics scenarios, such as analyzing the age distribution of farmers based on owner categories, identifying trends in farmer demographics over time, comparing average ages between different ELY centres, and exploring the relationship between farmer age and agricultural practices or productivity.

• Historical Version History for Average Age of Farmers by Owner CategoryTSV

  This table contains the version history of the rows from the base table 'average age of farmers by owner category dim owner category'. It has additional columns '_start_date' and '_end_date' which represent the extraction dates for each row. The data in this table is sourced from the web site of 'Luke', which originates from the country Finland (ISO country code 'FI'). The table provides insights into the changes over time in the average age of farmers categorized by their owner category. The historical versions of the rows can be used for data analysis purposes, such as tracking trends, identifying shifts in age demographics, and studying the distribution of farmers among various owner categories.

• Version History of Average Age of Farmers by Owner Category for Finland from Luke WebsiteTSV

  This table contains the version history of the rows from the 'average_age_of_farmers_by_owner_category__fact' table. The rows in this table represent different versions of the data, with each version having a unique start date and end date. The 'year' column represents the year when the data was recorded, while the 'ely_centre' column provides the geographical location of the farming activity. The 'owner_category' column categorizes the farmers based on their ownership status. The 'average_age_of_farmers' column indicates the average age of the farmers for a particular region and ownership category. The data in this table can be used for various data analytics purposes, such as analyzing the trends in average age of farmers over time, comparing the average age across different owner...

• Version History of Average Age of Farmers by Owner Category in ELY Centre (Luke - Finland)TSV

  This table contains the version history of the rows in the 'average age of farmers by owner category, dim ely centre' base table. The table is sourced from the website of 'Luke', which originates from Finland. It includes information about the start date and end date of each row, along with a unique row number, code, and label. The '_start_date' column indicates the extraction date of the row from the data source, while the '_end_date' column represents the date when a new version of the row was extracted. If the value in the '_end_date' column is null, it means that the row is the most recent version. The data in this table can be utilized in data analytics to track changes in the average age of farmers by owner category over time, analyze trends across different ely centres, and...

• Version History of Average Age of Farmers by Owner Category, Year - Luke (Finland)TSV

  This table contains the version history of the base table 'average_age_of_farmers_by_owner_category__dim_year'. It includes the extracted rows from the data source 'Luke' which originates from the country Finland (ISO country code 'fi'). The table has additional columns compared to the base table, namely '_start_date' and '_end_date'. The '_start_date' column represents the date when a row was extracted, while the '_end_date' column represents the date when a new version of the row was extracted. If the value of the '_end_date' column is null, it indicates that the row is the most recent version. The table can be utilized in data analytics to track changes in the average age of farmers based on owner categories over time, and to analyze trends and patterns in the agricultural sector.