Skip to content

Staffelter Hof Winery is Germany's oldest business, established in 862 under the Carolingian dynasty. It has continued to serve customers through dramatic changes in Europe, such as the Holy Roman Empire, the Ottoman Empire, and both world wars. What characteristics enable a business to stand the test of time?

To help answer this question, BusinessFinancing.co.uk researched the oldest company still in business in almost every country and compiled the results into several CSV files. This dataset has been cleaned.

Having useful information in different files is a common problem. While it's better to keep different types of data separate for data storage, you'll want all the data in one place for analysis. You'll use joining and data manipulation to work with this data and better understand the world's oldest businesses.

The Data

businesses and new_businesses

ColumnDescription
businessName of the business (varchar)
year_foundedYear the business was founded (int)
category_codeCode for the business category (varchar)
country_codeISO 3166-1 three-letter country code (char)

countries

ColumnDescription
country_codeISO 3166-1 three-letter country code (varchar)
countryName of the country (varchar)
continentName of the continent the country exists in (varchar)

categories

ColumnDescription
category_codeCode for the business category (varchar)
categoryDescription of the business category (varchar)
Spinner
DataFrameas
oldest_business_continent
variable
-- What is the oldest business on each continent?
WITH continents AS
(
	SELECT 
		c.continent as continent,
		c.country as country,
		b.business as business,
		b.year_founded as year_founded,
		RANK() OVER (PARTITION BY c.continent ORDER BY b.year_founded ASC) as rank
	FROM countries as c
	JOIN businesses as b
	ON c.country_code = b.country_code
)
SELECT 
	continent,
	country,
	business,
	year_founded
FROM continents
WHERE rank = 1;
Spinner
DataFrameas
count_missing
variable
-- How many countries per continent lack data on the oldest businesses
-- Does including the `new_businesses` data change this?
WITH combined_businesses AS (
  SELECT country_code FROM businesses
  UNION
  SELECT country_code FROM new_businesses
),
missing_data AS (
  SELECT
    c.continent,
    c.country
  FROM countries c
  LEFT JOIN combined_businesses cb
    ON c.country_code = cb.country_code
  WHERE cb.country_code IS NULL
)
SELECT
  continent,
  COUNT(country) AS countries_without_businesses
FROM missing_data
GROUP BY continent
ORDER BY continent;
Spinner
DataFrameas
oldest_by_continent_category
variable
-- Which business categories are best suited to last over the course of centuries?
WITH ranked_businesses AS (
  SELECT 
    c.continent,
    cat.category,
    b.year_founded,
    ROW_NUMBER() OVER (
      PARTITION BY c.continent, cat.category 
      ORDER BY b.year_founded ASC
    ) AS row_num
  FROM businesses b
  INNER JOIN categories cat ON b.category_code = cat.category_code
  INNER JOIN countries c ON b.country_code = c.country_code
)
SELECT 
  continent,
  category,
  year_founded
FROM ranked_businesses
WHERE row_num = 1;

Spinner
DataFrameas
businesses
variable
SELECT * FROM public.businesses