Race-Based Metropolis Spices

The Census Spices Are BBQ Rubs Based on New York City's Ethnicities

Using American Census data, designer Hanna Kang-Brown created barbecue rubs based on New York's boroughs called 'Census Spices.' Each of Kang-Brown's mixes accurately represents the racial composition of each of the five boroughs.

The Census Spices were created by assigning each ethnicity a different distinct spice. Italians were assigned garlic powder while the Chinese were given ground ginger. Other cultures were paired with spices that best represent their cuisine as well. After pairing cultures with spices, Kang-Brown created mixes based on Census data. Spices were added in proportion to each borough's cultural makeup.

Kang-Brown's experiment worked surprisingly well as people could identify boroughs based on each rub's composition. Staten Island was easily discerned from the garlic powder which represents the borough's large Italian population.

Ethnic-based Food
Creating food products that are tailored to specific ethnicities based on cultural representation, like the Census Spices.
Data-driven Food Trends
Using data, such as Census information, to inform and create innovative food products.
Cultural Identity in Food
Highlighting the cultural diversity and identity of a specific location through food products, as seen with the Census Spices.

Who This Affects Most

Food and Beverage
Opportunity for food companies to develop and market products that cater to specific ethnicities based on cultural representation.
Market Research and Data Analysis
Companies specializing in data analysis can provide insights and recommendations on developing data-driven food products.
Ethnic Cuisine Representation
Opportunity for the restaurant industry to showcase and celebrate the cultural identity of a specific location through their menu offerings.
SCORE
0.7 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, Europe
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 2%
Activity 11%
Freshness 8%