Having been tasked with focusing on gender statistics and the maritime sector (fisheries and aquaculture), we started out by defining areas in which gender-disaggregated data were available in each of the Nordic countries. The first round of data collection involved contacting the national statistical offices. In the case of Iceland and Finland, we liaised with special representatives for gender statistics in those organisations. In some other cases, we realised that responsibility for statistics on fisheries and aquatic-related employment, ownership etc. had been transferred from national statistical agencies to sectoral authorities (such as the fishery directorate in Norway, or the Swedish Agency for Marine and Water Management). In many cases, data on fisheries and aquaculture in national statistical accounts are primarily economical (export value, landing prices, FOB value etc.) or technical (volumes, vessel sizes), while the manpower aspect of the maritime sector in officially available statistics is either not available or non-existing, except in the case of the number of staff involved in harvesting or in fish processing.
We started by looking for data from 1990 and onwards, keeping in mind former recommendations that statistics should be comprehensive and reflect developments over time.
In this report we examine pan-Nordic gender statistics in the maritime sector. Gender distribution among fishers and staff in the primary production section of the maritime sector and aquaculture is known for most places and well researched. However there is a lack of available statistics in other parts of the economic sector (horizontal pattern) as manifested in individual parts of the value chain and the various dimensions of the maritime economy. There is furthermore no insight into how quotas are allocated (who is in charge – gender representation) or women’s presence at the top level of businesses (vertical pattern). The statistics we have referred to in order to provide an overview allowing for comparison between countries (using national statistics) are as follows: A) Gender distribution in fisheries (harvest) and the aquaculture sector in practice; B) Gender distribution in fisheries and aquaculture ownership; C) Gender distribution in related branches (land-based activities that base their existence on fisheries and aquaculture or are innovative spin-offs in the maritime economy/value chain); D) Gender distribution in secondary education, steersperson training in aquaculture and other vocational training, fishery technology etc. and E) Gender distribution in relevant higher education (veterinary, marine biology, fishery and aquaculture disciplines at universities).
The main challenge with respect to comparability of the available data across the Nordic Region is the difference in how disaggregated the data are. That is particularly pronounced for some of the statistics such as educational data. When it comes to vocational training and secondary education, we find fairly specific data that prove helpful, but it can be difficult to harmonise the data across the Nordic Region. When it comes to data on tertiary education, in some cases the data are highly aggregated and limited to degree courses within universities rather than disciplines allowing for a selection proving relevant to activities and employment in maritime professions. Some disciplines are more obviously relevant, such as degrees in marine biology, maritime engineering and maritime business, but in most cases it remains guesswork as to which graduates will go on to work in the blue bioeconomy, so the evidence needs to be supplemented to a high degree by qualitative evidence.
Regular global statistics on fisheries compiled by the Food and Agriculture Organization of the United Nations (FAO) from country information contain only sporadic information on gender participation, although the FAO (2003) referred to broadening the scope of statistics to include, among other things, social and economic information. In the FAO’s State of World Fisheries and Aquaculture reports, published biennially since 1996, Williams (2010) found that the word “women” appeared only 1, 2, 11, 3, 8, and 36 times in the years 1996, 1998, 2000, 2002, 2004, and 2006 respectively. The most recent report of World Fisheries and Aquaculture still largely omits gender issues, only mentioning women marginally and only containing statistics on the number of processors by gender from Denmark, Sweden and Finland in the period 2010-2019 (FAO, 2021).
In some cases, we have retrieved data from websites of organisations and companies on leadership on gender ratios among expert staff by counting (and thus our statistics is limited by what is available on the net), or presence in boards (by annual reports, companies, institutions, or public authorities websites).