(1) Non-agricultural small data mainly comes from folk, so non-agricultural small data mainly counts folk;

(2) Non-agriculture is the statistics of all industries in the United States.

2. The announcement time is different.

(1) Small-scale non-agricultural data is released two days before the release of non-agricultural data, which can predict non-agricultural data. Generally speaking, there is not much difference between small-scale non-agricultural data and large-scale non-agricultural data;

(2) Non-agricultural big data is predicted based on non-agricultural small data, so the release time of non-agricultural big data will be longer than that of non-agricultural small data.

Extended data

Non-agricultural viewpoint

First, this data was released in time. This data is the first important economic data released every month. This data is released by the Labor Department within one week after the investigation, so the market can keep abreast of the latest employment situation in the United States.

Second, this data points out the employment situation in the United States in detail, and the published information is very useful for predicting the economic situation of the whole country. Therefore, when the market gets these data, it can make a rough forecast of GDP.

Third, this data is related to the income of the average American family. Obviously, when the national employment situation improves and income increases, it will drive all consumption links, and about 70% of the growth of the American economy can be said to be mainly internal consumption, so knowing the employment data can predict the overall consumption situation in the United States.

Baidu Encyclopedia-Non-agricultural Data