Commercial Vehicle Monthly Sales

Use Cases

• Monthly commercial vehicle sales based on first-time compulsory-insurance registrations: the number of new vehicles insured for compulsory insurance for the first time, aggregated by month and mapped to brand, series, trim, and energy type via VIN.

• It is closer to vehicles actually entering use and end-delivery, so it is often used to observe retail demand; strictly speaking, however, it is not the automaker's factory-gate sales.

• Statistics must be limited to "first-time new-vehicle insurance" and exclude renewals, endorsements, cancellations, and duplicate records, and ensure correct vehicle-type attribution; otherwise monthly new-vehicle sales will be overestimated.

• The insured region reflects the region associated with the policy or vehicle registration and does not necessarily equal the consumer's long-term usage location; cross-region purchasing and out-of-area registration affect regional market judgment.

• Aggregated statistics only; no personal information.

• Market monitoring: track monthly commercial vehicle totals, fuel vs. new-energy vehicles, and terminal performance by brand and series to identify demand turning points and seasonality earlier.

• Competitor analysis: compare regional sales, growth, and share of same-class, same-price-band, or same-powertrain models to inform product positioning, marketing rhythm, and model planning.

• Regional operations: identify the true insured-registration distribution by province, city, or city cluster to support dealer network layout, channel target breakdown, and marketing and inventory resource allocation.

• New model assessment: observe monthly insured-registration ramp, regional penetration, and configuration structure after a new model launch.

• Supply chain and business forecasting: combine insured-registration trends with wholesale, orders, inventory, and delivery cycles to support production/sales forecasting.

• Finance and insurance research: under compliance, provide model-level demand evidence for residual value assessment, risk pricing, parc estimation, and after-sales service network planning.

• Data product building: combined with MIIT announcements, the model library, MSRP, and configuration data, more dimensional analytical frameworks can be formed.

English Field Example

[
    {
        "yymm": 202402,
        "province": "陕西省",
        "city": "汉中市",
        "district": "汉台区",
        "sales": 2,
        "car_category": "Light truck",
        "car_name": "Cargo truck",
        "model_code": "SC1022SEAH6",
        "chassis_com": "河北长安汽车有限公司",
        "chassis_code": "SC1022SEAN6",
        "rated_people": "NULL",
        "rated_quality": "745",
        "engine_company": "重庆长安汽车股份有限公司",
        "engine_code": "JL474QAK",
        "engine_power": "85",
        "after_wheel_track": "1360",
        "cargo_van_height": "370",
        "cargo_van_width": "1515",
        "cargo_van_length": "2550",
        "front_people": "NULL",
        "tyre_spec": "175R14LT 8PR",
        "tyre_num": "4",
        "emission_standard": "China VI",
        "engine_liter": "1499",
        "chinese_brand": "长安",
        "company_name": "河北长安汽车有限公司",
        "before_wheel_track": "1360",
        "drive_type": "4×2",
        "fuel_type": "Gasoline",
        "use_character": "Non-business",
        "vehicle_height": "1910",
        "vehicle_width": "1610",
        "vehicle_length": "5175",
        "curb_quality": "1215",
        "wheelbase": "3200",
        "axes_num": "2",
        "trailer_quality": "NULL",
        "total_quality": "2285",
        "ownership": "Unknown",
        "spring_num": "_\\6",
        "seats_num": "5"
    }
]

Chinese Field Example

The following example uses the same data as the English field example above, with field names converted to Chinese for business reading and data-dictionary organization. The fields actually returned by the interface follow the current interface definition.

[
    {
        "年月": 202402,
        "省份": "陕西省",
        "城市": "汉中市",
        "区县": "汉台区",
        "销量": 2,
        "车型类别": "轻型货车",
        "车辆名称": "载货汽车",
        "车辆型号": "SC1022SEAH6",
        "底盘企业": "河北长安汽车有限公司",
        "底盘型号": "SC1022SEAN6",
        "额定载客": "NULL",
        "额定质量": "745",
        "发动机企业": "重庆长安汽车股份有限公司",
        "发动机型号": "JL474QAK",
        "发动机功率": "85",
        "后轮距": "1360",
        "货厢高": "370",
        "货厢宽": "1515",
        "货厢长": "2550",
        "前排乘客": "NULL",
        "轮胎规格": "175R14LT 8PR",
        "轮胎数": "4",
        "排放标准": "国六",
        "发动机排量": "1499",
        "中文品牌": "长安",
        "企业名称": "河北长安汽车有限公司",
        "前轮距": "1360",
        "驱动形式": "4×2",
        "燃料类型": "汽油",
        "使用性质": "非营业",
        "车辆高": "1910",
        "车辆宽": "1610",
        "车辆长": "5175",
        "整备质量": "1215",
        "轴距": "3200",
        "轴数": "2",
        "牵引质量": "NULL",
        "总质量": "2285",
        "所有权": "未知",
        "钢板弹簧片数": "_\\6",
        "座位数": "5"
    }
]

Chinese Field Table Example

The table below uses the same record as the JSON example above, with fields laid out by column for easy viewing and copying in spreadsheet form.

year_month	province	city	district	sales	car_category	car_name	model_code	chassis_com	chassis_code	rated_people	rated_quality	engine_company	engine_code	engine_power	after_wheel_track	cargo_van_height	cargo_van_width	cargo_van_length	front_people	tyre_spec	tyre_num	emission_standard	engine_liter	chinese_brand	company_name	before_wheel_track	drive_type	fuel_type	use_character	vehicle_height	vehicle_width	vehicle_length	curb_quality	wheelbase	axes_num	trailer_quality	total_quality	ownership	spring_num	seats_num
202402	陕西省	汉中市	汉台区	2	Light truck	Cargo truck	SC1022SEAH6	河北长安汽车有限公司	SC1022SEAN6	NULL	745	重庆长安汽车股份有限公司	JL474QAK	85	1360	370	1515	2550	NULL	175R14LT 8PR	4	China VI	1499	长安	河北长安汽车有限公司	1360	4×2	Gasoline	Non-business	1910	1610	5175	1215	3200	2	NULL	2285	Unknown	_\6	5