Northeast China is so cold in winter that it is defined severe cool region based on the regulations ofThermal Design Rules for Civil Building (GB50176- 93). With the highest heating intensity and the longest heating days in China,the energy requirement for heating in Northeast China is the strongest. The amount of energy for heating depends on the air temperature. Analysis of change characteristics of climatic conditions of heating in Northeast China is urgent, because the climate change affects the energy usage. According to the regulation of Code for Design of Heating, Ventilation and Air Conditioning (GB50019-2003), a 5-day running mean method is used to determine the start and end date for heating. The degree day method is used to calculate the heating intensity, with the indoor base temperature of 18 ℃ as a standard according toEnergy Conservation Design Standard for New Heating Residential Buildings (JCJ26-95). Changing rate of energy consuming for heating is calculated too. Based on the data of daily average temperature of 88 weather stations in Northeast China from 1957 to 2011 and statistics methods of trend coefficient, increasing/decreasing ratio, Mann- Kendall abrupt analysis and a linear regression, this article analyzes change characteristics of the air temperature during the heating period, the heating days and the heating intensity from 1957 to 2011 in Northeast China. Conclusions are as follows. The mean value of average temperature during heating period from 1957 to 2011 is -8.2 ℃. The average temperature during heating period increases obviously in Northeast China, with the ratio reaching 0.17 ℃/10 a and its abrupt year is 1982-1983. The mean value of heating days from 1957 to 2011 is 186 d. The heating days decrease obviously in Northeast China, with the ratio reaching - 2 d/10 a and its abrupt point is the year of 1990. The mean value of heating intensity from 1957 to 2011 is 4959 ℃·d. The heating intensity decreases obviously in Northeast China, with the changing ratio of energy consuming for heating reaching -17.7%/10 a and its abrupt year is the mid 1980s. Based on the method of a linear regression, the heating intensity could fall 210 ℃·d and the changing ratio of energy for heating could decrease by 4.4% when the average temperature during the heating period increases by 1 ℃. In addition, a forecast model is built by using the circulation index.