Team Member Demographics

We pride ourselves in being open and transparent about our workforce demographics, which range from our global footprint, management distribution, gender, age, US race and ethnicity, new hires and voluntary attrition.

Footprint
Extended Workforce
Gender Representation
Ethnicity Representation
Age Representation
Turnover
Employee Hiring
Online Training
Promotions

NXP Workforce Demographics

The NXP workforce includes:

Direct labor (DL) team members, who are directly involved in the production of goods and typically work in our fabs
Indirect labor (IDL) team members, who are professional team members at the individual contributor, manager, and executive* level in non-fab functions, such as R&D or General, Sales, and Administrative (GS&A)

On December 31, 2024, our total extended workforce was 33,057 team members, representing 31,637 NXP employees, 1,420 joint venture (JV) employees¹. Note: This is representative of total NXP headcount (HC) and not a Full-Time Equivalent (FTE) count, as disclosed in the NXP International Financial Reporting Standards (IFRS) filing.

NXP directly hires recruited foreign migrant workers with support from NXP-approved labor agencies that help with document processing, such as visa applications, renewals, and dormitory accommodations.

The demographics data below, represented as total NXP HC, is as of December 31, 2024.

Legend: HC - headcount, IDL - indirect labor, DL - direct labor, FT - full time, PT - part time

* Executive positions are defined as individuals at the level of Vice President and above.

¹ Contingent workers are critical to our operations and are valued members of our team. We are currently working to align this disclosure with external reporting requirements such as the Corporate Sustainability Reporting Directive (CSRD). Therefore, we are not reporting contingent labor metrics for 2024 and have updated prior reporting years to reflect this. We aim to report this disclosure again in 2025.

Employee Footprint ²¹

²¹ The sum of percentages may not add up to 100% due to rounding.

Employee Type by Region		Unit	2021	2022	2023	2024
Indirect Labor (IDL)	Americas	%	22%	21%	21%	20%
	APAC	%	46%	46%	46%	46%
	EMEA	%	32%	32%	33%	35%
Direct Labor (DL)	Americas	%	12%	13%	12%	11%
	APAC	%	84%	83%	84%	85%
	EMEA	%	4%	4%	4%	4%

Employee by Role	Unit	2021	2022	2023	2024
Individual Contributor (DL)	%	41%	39%	37%	36%
Individual Contributor (IDL)	%	50%	52%	53%	54%
People Manager (IDL)	%	9%	9%	10%	10%
Executive (IDL)	%	0.5%	0.5%	0.5%	0.6%

R&D Employee by Region	Unit	2021	2022	2023	2024
Americas	%	21%	19%	18%	16%
APAC	%	39%	41%	41%	41%
EMEA	%	40%	40%	41%	43%
Percent R&D of Total NXP Footprint	%	31%	34%	36%	37%

Employment Type

Type	Unit	2021	2022	2023	2024
Full-Time (FT)	%	99.5%	99.5%	99.3%	99.3%
Part-Time (PT)	%	0.5%	0.5%	0.7%	0.8%

Extended Workforce

	Unit	2021	2022	2023	2024
Extended Workforce - Total ²²	HC	31,348	34,529	34,192	33,057
Employees	HC	29,861	33,037	32,738	31,637
Employees	%	95%	96%	96%	96%
Joint Venture	HC	1,487	1,492	1,454	1,420
Joint Venture	%	5%	4%	4%	4%

²² Contingent workers are critical to our operations and are valued members of our team. We are currently working to align this disclosure with external reporting requirements such as the Corporate Sustainability Reporting Directive (CSRD). Therefore, we are not reporting contingent labor metrics for 2024 and have updated prior reporting years to reflect this. We aim to report this disclosure again in 2025.

Gender Representation

Gender	Unit	2021	2022	2023	2024
Women	%	37%	37%	36%	36%
Men	%	63%	63%	64%	64%

Employment Type	Gender	Unit	2021	2022	2023	2024
FT Employment by Gender	Women	%	37%	37%	36%	36%
FT Employment by Gender	Men	%	63%	63%	64%	64%
PT Employment by Gender	Women	%	19%	18%	28%	30%
PT Employment by Gender	Men	%	81%	82%	72%	70%

Employee Gender by Role

Role	Gender	Unit	2021	2022	2023	2024
Executive	Women	%	13%	16%	16%	17%
Executive	Men	%	87%	84%	84%	83%
People Manager	Women	%	16%	18%	18%	19%
People Manager	Men	%	84%	82%	82%	81%
Individual Contributor	Women	%	39%	39%	38%	38%
Individual Contributor	Men	%	61%	61%	62%	62%
IDL	Women	%	24%	25%	25%	26%
IDL	Men	%	76%	75%	75%	74%
DL	Women	%	56%	55%	56%	55%
DL	Men	%	44%	45%	45%	45%
R&D	Women	%	17%	19%	20%	20%
R&D	Men	%	83%	81%	80%	80%

Employee Gender by Region

Gender	Region	Unit	2021	2022	2023	2024
Women	Americas	%	11%	12%	12%	11%
	APAC	%	80%	78%	77%	76%
	EMEA	%	9%	11%	12%	13%
Men	Americas	%	22%	22%	21%	20%
	APAC	%	51%	51%	51%	51%
	EMEA	%	27%	27%	29%	30%

Ethnicity Representation

US Race and Ethnicity	Unit	2021	2022	2023	2024
White (Not Hispanic / Latino)	%	51%	49%	48%	46%
Asian (Not Hispanic / Latino)	%	20%	22%	24%	25%
Hispanic / Latino	%	15%	16%	15%	15%
Black or African American (Not Hispanic / Latino)	%	5%	6%	5%	5%
Native American / Alaska Native (Not Hispanic / Latino)	%	0.6%	0.6%	0.6%	0.6%
Native Hawaiian / Other Pacific Islander (Not Hispanic / Latino)	%	0.2%	0.2%	0.2%	0.3%
Two or More Races (Not Hispanic / Latino)	%	0.9%	1%	1%	2%
Undeclared	%	7%	6%	6%	7%

US Employee Race and Ethnicity by Role

Role	Race / Ethnicity	Unit	2021	2022	2023	2024
Executive	White (Not Hispanic / Latino)	%	63%	64%	63%	63%
	Asian (Not Hispanic / Latino)	%	10%	13%	17%	18%
	Hispanic / Latino	%	6%	7%	6%	5%
	Black or African American (Not Hispanic / Latino)	%	6%	7%	6%	5%
	Native American or Alaska Native (Not Hispanic / Latino)	%	—%	—%	—%	—%
	Native Hawaiian or Other Pacific Islander (Not Hispanic / Latino)	%	—%	—%	—%	—%
	Two or More Races (Not Hispanic / Latino)	%	1%	1%	1%	1%
	Undeclared	%	14%	7%	7%	8%
People Manager	White (Not Hispanic / Latino)	%	59%	57%	55%	53%
	Asian (Not Hispanic / Latino)	%	18%	20%	21%	23%
	Hispanic / Latino	%	9%	11%	11%	12%
	Black or African American (Not Hispanic / Latino)	%	3%	3%	3%	3%
	Native American or Alaska Native (Not Hispanic / Latino)	%	0.2%	0.3%	0.4%	0.6%
	Native Hawaiian or Other Pacific Islander (Not Hispanic / Latino)	%	—%	0.1%	0.1%	0.2%
	Two or More Races (Not Hispanic / Latino)	%	0.5%	0.7%	1%	1%
	Undeclared	%	9%	8%	9%	8%
Individual Contributor (IDL)	White (Not Hispanic / Latino)	%	51%	49%	47%	45%
	Asian (Not Hispanic / Latino)	%	27%	30%	32%	33%
	Hispanic / Latino	%	10%	10%	10%	10%
	Black or African American (Not Hispanic / Latino)	%	3%	3%	3%	3%
	Native American or Alaska Native (Not Hispanic / Latino)	%	0.4%	0.2%	0.2%	0.2%
	Native Hawaiian or Other Pacific Islander (Not Hispanic / Latino)	%	0.1%	0.1%	—%	0.1%
	Two or More Races (Not Hispanic / Latino)	%	0.9%	1%	1%	1%
	Undeclared	%	9%	7%	7%	8%
Individual Contributor (DL)	White (Not Hispanic / Latino)	%	47%	44%	45%	44%
	Asian (Not Hispanic / Latino)	%	10%	9%	9%	9%
	Hispanic / Latino	%	27%	29%	28%	28%
	Black or African American (Not Hispanic / Latino)	%	10%	12%	11%	11%
	Native American or Alaska Native (Not Hispanic / Latino)	%	1%	2%	2%	2%
	Native Hawaiian or Other Pacific Islander (Not Hispanic / Latino)	%	0.6%	0.6%	0.6%	0.6%
	Two or More Races (Not Hispanic / Latino)	%	1%	2%	2%	2%
	Undeclared	%	3%	3%	4%	4%

Age Representation

Age	Unit	2021	2022	2023	2024
<31 Years Old	%	22%	25%	23%	22%
31-50 Years Old	%	57%	55%	56%	57%
51+ Years Old	%	21%	20%	21%	21%

Employee Age by Role

Age	Role	Unit	2021	2022	2023	2024
<31 Years Old	Executive	%	—%	—%	—%	—%
	People Manager	%	0.1%	0.1%	0.2%	0.1%
	Individual Contributor	%	22%	24%	23%	22%
31-50 Years Old	Executive	%	0.2%	0.1%	0.2%	0.2%
	People Manager	%	6%	6%	6%	6%
	Individual Contributor	%	51%	50%	50%	51%
51+ Years Old	Executive	%	0.3%	0.3%	0.4%	0.4%
	People Manager	%	3%	3%	3%	4%
	Individual Contributor	%	17%	17%	17%	17%

Turnover

Voluntary Turnover

		Unit	2021	2022	2023	2024
Global Employee Voluntary Turnover		%	12.1%	11.7%	6.5%	5.5%
	Americas (IDL and DL)	%	9.1%	10.4%	5.7%	4.2%
	APAC (IDL and DL)	%	15.7%	14.7%	7.7%	6.6%
	EMEA (IDL and DL)	%	4.3%	3.8%	3.8%	3.5%
Global IDL Employee Voluntary Turnover		%	7.9%	7.5%	4.1%	4.3%
	Americas (IDL)	%	8.6%	9.4%	4.3%	3.5%
	APAC (IDL)	%	9.9%	9.0%	4.2%	5.1%
	EMEA (IDL)	%	4.5%	3.9%	3.8%	3.5%
Global DL Employee Voluntary Turnover		%	18.4%	18.1%	10.4%	7.6%
	Americas (DL)	%	10.5%	13.1%	9.6%	6.2%
	APAC (DL)	%	20.3%	19.5%	10.9%	7.9%
	EMEA (DL)	%	2.1%	2.9%	3.0%	2.9%

		Unit	2021	2022	2023	2024
IDL Voluntary Turnover	Women	%	23%	24%	26%	26%
	Men	%	77%	77%	74%	74%
	<31 Years Old	%	28%	25%	28%	33%
	31-50 Years Old	%	55%	56%	48%	47%
	51+ Years Old	%	16%	19%	24%	20%
DL Voluntary Turnover	Women	%	55%	60%	60%	63%
	Men	%	45%	40%	40%	37%
	<31 Years Old	%	53%	58%	55%	50%
	31-50 Years Old	%	38%	35%	36%	39%
	51+ Years Old	%	9%	8%	9%	11%

Involuntary Turnover

		Unit	2021	2022	2023	2024
Global Employee Involuntary Turnover		%	3.8%	1.5%	1.8%	4.3%
	Americas (IDL and DL)	%	4.6%	1.4%	5.3%	11.6%
	APAC (IDL and DL)	%	4.1%	1.2%	1.0%	3.1%
	EMEA (IDL and DL)	%	2.2%	2.8%	1.0%	2.1%

Hiring

		Unit	2021	2022	2023	2024
IDL	Americas	%	19%	19%	17%	19%
	APAC	%	56%	47%	39%	38%
	EMEA	%	25%	34%	44%	43%
DL	Americas	%	11%	16%	10%	17%
	APAC	%	89%	83%	87%	81%
	EMEA	%	0.6%	2%	2%	2%

Employee Hiring by Type

		Unit	2021	2022	2023	2024
IDL	Women	%	27%	29%	30%	30%
IDL	Men	%	73%	71%	70%	70%
IDL New College Graduate	Women	%	30%	35%	36%	41%
IDL New College Graduate	Men	%	70%	65%	64%	59%
DL	Women	%	53%	56%	57%	60%
DL	Men	%	47%	44%	43%	40%

United States Hiring by Race and Ethnicity

	Unit	2021	2022	2023	2024
White (Not Hispanic / Latino)	%	42%	32%	35%	39%
Asian (Not Hispanic / Latino)	%	18%	26%	38%	28%
Hispanic / Latino	%	17%	18%	11%	17%
Black or African American (Not Hispanic / Latino)	%	11%	9%	3%	3%
Native American / Alaska Native (Not Hispanic / Latino)	%	1%	1%	1%	1%
Native Hawaiian / Other Pacific Islander (Not Hispanic / Latino)	%	0.4%	0.3%	—%	1%
Two or More Races (Not Hispanic / Latino)	%	3%	3%	2%	3%
Undeclared	%	7%	12%	10%	7%

United States New College Gradate Hiring by Race and Ethnicity

	Unit	2021	2022	2023	2024
White (Not Hispanic / Latino)	%	33%	35%	24%	17%
Asian (Not Hispanic / Latino)	%	44%	39%	59%	63%
Hispanic / Latino	%	10%	13%	7%	10%
Black or African American (Not Hispanic / Latino)	%	4%	5%	2%	3%
Native American / Alaska Native (Not Hispanic / Latino)	%	—%	0.6%	—%	—%
Native Hawaiian / Other Pacific Islander (Not Hispanic / Latino)	%	—%	—%	—%	—%
Two or More Races (Not Hispanic / Latino)	%	7%	4%	1%	3%
Undeclared	%	3%	4%	6%	3%

Hiring by Age

		Unit	2021	2022	2023	2024
<31 Years Old	IDL	%	49%	48%	60%	50%
<31 Years Old	DL	%	66%	68%	69%	61%
31-50 Years Old	IDL	%	44%	45%	33%	42%
31-50 Years Old	DL	%	32%	29%	28%	33%
51+ Years Old	IDL	%	6%	7%	7%	9%
51+ Years Old	DL	%	2%	3%	3%	7%

R&D Hiring by Region

	Unit	2021	2022	2023	2024
Americas	%	11%	14%	13%	15%
APAC	%	61%	47%	38%	33%
EMEA	%	29%	39%	49%	52%

IDL Talent Hiring

	Unit	2021	2022	2023	2024
University	%	24%	23%	44%	29%
Global NXP Intern Conversion Rate	%	40%	39%	48%	58%
New College Graduates Hired	HC	644	1,070	910	533

Online Training

		Unit	2021	2022	2023	2024
Total NXP Online Training Hours		Hours	89,591	168,229	451,356	230,817
Total Global Online Courses Completed		Courses	8,852	9,497	387,179	262,552
Global Online Courses Completed by IDL		Courses			352,922	224,332
Global Online Courses Completed by DL		Courses			34,257	38,220
Average Online Training Hours (All Employees)		Hours	3.0	5.1	13.7	7.2
Average Online Training by IDL and DL	IDL	Hours	7.0	8.0	17.6	9.7
Average Online Training by IDL and DL	DL	Hours	0.2	0.6	4.6	2.9
Average Online Training by Gender	Women	Hours	2.2	4.1	9.5	7.7
Average Online Training by Gender	Men	Hours	3.5	5.7	14.5	7.0

Promotions

	Unit	2021	2022	2023	2024
Global Employee Promotion Rate	%	8%	11%	10%	9%
IDL	%	11%	13%	12%	12%
DL	%	4%	7%	7%	6%