This study is motivated by the problem of erosivity (R); in particular soil degradation caused by rainfall. The objective of this work was to estimate the spatial variation of R in a coastal area measuring 37500 km2 which is one of the most important agricultural areas in northwestern Mexico. Four methods were used: the factor described by the universal soil loss equation (USLE) (R1), the factor resulting from regression curves based on pluviometric characteristics of the region (R2), the modified Fournier index or climate aggressiveness (MFI), and the Alm index or rain erosivity (Alm). For calculating R, pluviographic and pluviometric data from 11 CONAGUA weather stations (from 1966 to 2013) were used. The average annual precipitation was 526.74 mm year-1. The months from July to September had the most rain and from February to May the least. The annual average R1 was 1181.08, and R2 was 1084.51 MJ mm ha-1 h-1 with ranges of 2.35–5220.55 and 2.93–4711.38 MJ mm ha-1 h-1. These values are high in comparison to other places in the world. The values of the four indicators are directly proportional to precipitation amounts. Statistical tests showed that a transformation of the data of the form y=log(x) was appropriate for applying an ANOVA to the data. The value of the test statistic was F=0.919 with p=0.4, showing interdependence between the indicators P (? > 0.5) The values of the correlation coefficients for the data were P vs.R1=0.96, P vs.R2=0.99, P vs. Alm=0.98, P vs. MFI = 0.99. Overall, the classification of risk in this region showed that that 2017.5 km2 of the study area was under a very high risk of rain erosion, 2407.5 km2 under high risk, 5662.5 km2 under medium to high risk, and 14250 km2 under low risk. The results are shown on 1:10,000 maps. These constitute a bank of useful information for soil management programs and for cultivation planning that takes the seasonal variation of R into account in this region where large volumes of corn, tomatoes, potatoes and other crops are grown for the domestic and export markets.