economic participation of women utilizes various classification i.e. a dichotomy of market production and wage work; and (b) trade skills classification- there is no standard trade skill classification. While trade skills was collected during the 1995 population census, the classification used is still questioned by many sectors.
10.8. There is no data on the productive agricultural work of women compared to that of men. In particular, data gaps include access to land ownership ; access to credit from public banks, cooperatives and other agricultural inputs/services; promotion on the rights of women peasants and agricultural workers to own land.
10.9. The increase in known cases of violence (rape, incest, sexual harassment and pornography), prostitution and sex trafficking have heightened the awareness of the public to give support to "women in crisis." While community-based support as well as setting up of policewomen's desks to handle cases of violence against women (VAW), there is still no baseline estimate on the actual number of victims. Cultural idiosyncrasies on answering survey questions on VAW make it difficult to collect data through a survey. A multi-dimensional approach should be considered in establishing a methodology to collect survey data.
10.10. While poverty is measured to reflect the status of the economy, parallel efforts to translate statistics on poverty to be gender responsive needs to be addressed.
10.11. Survey modules to address key sectors like agriculture and education have been integrated in the regular labor force surveys. The survey module on women shall include important indicators that will monitor the status of women in the country. The question, however, is which indicators will be included. In the meantime, gender data in raw form remains unprocessed in administrative records such as: data on overseas workers placement at the POEA; and data on women with access to credit, i.e., to borrow or obtain loans and execute security and credit arrangements. There are still inadequate systems for storage, retrieval and use of administrative statistics on gender; some agencies in the Philippine Statistical System like the Education Department have numerous administrative forms which still remains a rich source of untapped unprocessed
