Work and Jobs in Berlin, Maryland (MD) Detailed Stats
Occupations, Industries, Unemployment, Workers, Commute
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Latest news about work in Berlin, MD collected exclusively by city-data.com from local newspapers, TV, and radio stations
The most common industries in Berlin are: Accommodation & food services (12.4% of civilian employees), Construction (8.8% of civilian employees), Health care (8.6% of civilian employees). 78.3% of workers work in Worcester County and 8.1% of all workers work at home. 62.1% of workers are employees of private companies, which is 6.7% greater than the rate of 57.9% across the entire state of Maryland.
Whole page based on the data from 2000 / 2022 when the population of Berlin, Maryland was 3,491 / 5,058
Whole page based on the data from 2000 / 2022 when the population of Berlin, Maryland was 3,491 / 5,058
Most common industries
Most common industries | |||
|---|---|---|---|
Industry | All | Males | Females |
| Accommodation and food services | 12.4% (187) | 10.3% (71) | 14.2% (116) |
| Construction | 8.8% (133) | 17.0% (117) | 2.0% (16) |
| Health care | 8.6% (130) | 0.6% (4) | 15.5% (126) |
| Food | 6.9% (104) | 6.8% (47) | 7.0% (57) |
| Educational services | 6.8% (102) | 4.6% (32) | 8.6% (70) |
| Public administration | 5.8% (87) | 7.5% (52) | 4.3% (35) |
| Real estate and rental and leasing | 4.5% (67) | 5.9% (41) | 3.2% (26) |
| Professional, scientific, and technical services | 3.7% (55) | 4.6% (32) | 2.8% (23) |
| Food and beverage stores | 3.5% (52) | 1.9% (13) | 4.8% (39) |
| Department and other general merchandise stores | 3.1% (46) | 2.8% (19) | 3.3% (27) |
| Arts, entertainment, and recreation | 3.0% (45) | 3.3% (23) | 2.7% (22) |
| Administrative and support and waste management services | 2.7% (41) | 1.2% (8) | 4.0% (33) |
| Utilities | 2.7% (41) | 3.6% (25) | 2.0% (16) |
| Furniture and home furnishings, and household appliance stores | 2.6% (39) | 4.1% (28) | 1.3% (11) |
| Personal and laundry services | 2.5% (38) | 0.6% (4) | 4.2% (34) |
| Finance and insurance | 2.1% (31) | 0.0% (0) | 3.8% (31) |
| Religious, grantmaking, civic, professional, and similar organizations | 1.9% (28) | 1.9% (13) | 1.8% (15) |
| Agriculture, forestry, fishing and hunting | 1.5% (22) | 2.0% (14) | 1.0% (8) |
| Building material and garden equipment and supplies dealers | 1.4% (21) | 2.5% (17) | 0.5% (4) |
| Social assistance | 1.3% (20) | 0.0% (0) | 2.5% (20) |
| Broadcasting and telecommunications | 1.3% (20) | 1.6% (11) | 1.1% (9) |
| Publishing, and motion picture and sound recording industries | 1.3% (20) | 1.3% (9) | 1.3% (11) |
| Groceries and related products merchant wholesalers | 1.3% (19) | 2.3% (16) | 0.4% (3) |
| U. S. Postal service | 1.1% (16) | 0.4% (3) | 1.6% (13) |
| Repair and maintenance | 1.1% (16) | 2.3% (16) | 0.0% (0) |
| Metal and metal products | 1.0% (15) | 1.6% (11) | 0.5% (4) |
| Used merchandise, gift, novelty, and souvenir, and other miscellaneous stores | 0.9% (13) | 0.7% (5) | 1.0% (8) |
| Truck transportation | 0.8% (12) | 1.7% (12) | 0.0% (0) |
| Pharmacies and drug stores | 0.7% (11) | 0.0% (0) | 1.3% (11) |
| Motor vehicle and parts dealers | 0.7% (11) | 1.2% (8) | 0.4% (3) |
| Private households | 0.7% (10) | 0.0% (0) | 1.2% (10) |
| Other transportation, and support activities, and couriers | 0.5% (7) | 1.0% (7) | 0.0% (0) |
| Mining, quarrying, and oil and gas extraction | 0.3% (5) | 0.7% (5) | 0.0% (0) |
| Gasoline stations | 0.3% (5) | 0.7% (5) | 0.0% (0) |
| Alcoholic beverages merchant wholesalers | 0.3% (5) | 0.7% (5) | 0.0% (0) |
| Office supplies and stationery stores | 0.3% (4) | 0.6% (4) | 0.0% (0) |
| Jewelry, luggage, and leather goods stores | 0.3% (4) | 0.0% (0) | 0.5% (4) |
| Miscellaneous manufacturing | 0.3% (4) | 0.0% (0) | 0.5% (4) |
| Petroleum and petroleum products merchant wholesalers | 0.3% (4) | 0.6% (4) | 0.0% (0) |
| Beverage and tobacco products | 0.2% (3) | 0.4% (3) | 0.0% (0) |
| Clothing and accessories, including shoe, stores | 0.2% (3) | 0.0% (0) | 0.4% (3) |
| Retail florists | 0.2% (3) | 0.4% (3) | 0.0% (0) |
| Electronic shopping and mail-order houses | 0.2% (3) | 0.0% (0) | 0.4% (3) |
| Air transportation | 0.2% (3) | 0.4% (3) | 0.0% (0) |
Unemployment in Berlin
- Unemployment by race in 2022
- Unemployment rate for White non-Hispanic residents
- 1.6%Males
- 1.4%Females
- Unemployment rate for Black residents
- 7.4%Females
- Unemployment by race in 2000
- Unemployment rate for White non-Hispanic residents
- 2.8%Males
- 2.8%Females
- Unemployment rate for Black residents
- 25.5%Males
- 12.5%Females
- Unemployment rate for Hispanic or Latino residents
- 21.7%Females
Time leaving home to go to work
12:00 a.m. to 4:59 a.m.:
| Berlin: | 1.0% (22) |
| Maryland: | 5.4% (137,252) |
5:00 a.m. to 5:29 a.m.:
| Berlin: | 0.4% (9) |
| Maryland: | 4.4% (112,169) |
5:30 a.m. to 5:59 a.m.:
| Berlin: | 1.6% (33) |
| Maryland: | 4.8% (121,529) |
6:00 a.m. to 6:29 a.m.:
| Berlin: | 4.5% (94) |
| Maryland: | 9.1% (231,673) |
6:30 a.m. to 6:59 a.m.:
| Berlin: | 8.0% (168) |
| Maryland: | 8.3% (211,777) |
7:00 a.m. to 7:29 a.m.:
| Berlin: | 20.1% (419) |
| Maryland: | 14.3% (362,787) |
7:30 a.m. to 7:59 a.m.:
| Berlin: | 13.9% (290) |
| Maryland: | 10.9% (277,831) |
8:00 a.m. to 8:29 a.m.:
| Berlin: | 12.5% (260) |
| Maryland: | 12.2% (310,633) |
8:30 a.m. to 8:59 a.m.:
| Berlin: | 7.7% (161) |
| Maryland: | 6.2% (157,490) |
9:00 a.m. to 9:59 a.m.:
| Berlin: | 12.2% (255) |
| Maryland: | 8.0% (204,415) |
10:00 a.m. to 10:59 a.m.:
| Berlin: | 3.9% (82) |
| Maryland: | 3.0% (77,287) |
11:00 a.m. to 11:59 a.m.:
| Berlin: | 2.2% (46) |
| Maryland: | 1.6% (40,296) |
12:00 p.m. to 3:59 p.m.:
| Berlin: | 7.3% (152) |
| Maryland: | 6.3% (159,318) |
4:00 p.m. to 11:59 p.m.:
| Berlin: | 5.4% (113) |
| Maryland: | 5.3% (135,542) |
<5am:
| Berlin: | 2.5% (37) |
| Maryland: | 3.0% (77,561) |
5:30am:
| Berlin: | 1.1% (17) |
| Maryland: | 3.2% (81,972) |
6am:
| Berlin: | 1.1% (17) |
| Maryland: | 4.7% (120,768) |
6:30am:
| Berlin: | 4.8% (72) |
| Maryland: | 9.1% (235,203) |
7am:
| Berlin: | 8.5% (127) |
| Maryland: | 10.3% (267,702) |
7:30am:
| Berlin: | 16.2% (241) |
| Maryland: | 14.9% (386,941) |
8am:
| Berlin: | 16.7% (248) |
| Maryland: | 14.3% (370,838) |
8:30am:
| Berlin: | 13.3% (198) |
| Maryland: | 11.6% (300,061) |
9am:
| Berlin: | 9.2% (137) |
| Maryland: | 6.0% (154,337) |
10am:
| Berlin: | 7.5% (111) |
| Maryland: | 5.9% (151,747) |
11am:
| Berlin: | 2.8% (42) |
| Maryland: | 2.2% (56,218) |
4pm:
| Berlin: | 5.4% (80) |
| Maryland: | 5.3% (136,187) |
>4pm:
| Berlin: | 7.3% (109) |
| Maryland: | 5.4% (139,172) |
12:00 a.m. to 4:59 a.m. - Males:
| Berlin: | 1.4% (14) |
| Maryland: | 7.5% (99,701) |
5:00 a.m. to 5:29 a.m. - Males:
| Berlin: | 0.9% (9) |
| Maryland: | 5.9% (79,059) |
5:30 a.m. to 5:59 a.m. - Males:
| Berlin: | 3.3% (34) |
| Maryland: | 5.9% (79,436) |
6:00 a.m. to 6:29 a.m. - Males:
| Berlin: | 5.3% (54) |
| Maryland: | 10.9% (145,135) |
6:30 a.m. to 6:59 a.m. - Males:
| Berlin: | 7.9% (81) |
| Maryland: | 8.3% (110,674) |
7:00 a.m. to 7:29 a.m. - Males:
| Berlin: | 19.3% (199) |
| Maryland: | 13.0% (173,935) |
7:30 a.m. to 7:59 a.m. - Males:
| Berlin: | 12.9% (132) |
| Maryland: | 9.1% (121,963) |
8:00 a.m. to 8:29 a.m. - Males:
| Berlin: | 18.3% (188) |
| Maryland: | 11.3% (150,709) |
8:30 a.m. to 8:59 a.m. - Males:
| Berlin: | 6.9% (71) |
| Maryland: | 4.7% (62,260) |
9:00 a.m. to 9:59 a.m. - Males:
| Berlin: | 7.9% (81) |
| Maryland: | 7.6% (101,199) |
10:00 a.m. to 10:59 a.m. - Males:
| Berlin: | 2.9% (29) |
| Maryland: | 2.7% (35,582) |
11:00 a.m. to 11:59 a.m. - Males:
| Berlin: | 1.1% (11) |
| Maryland: | 1.6% (20,846) |
12:00 p.m. to 3:59 p.m. - Males:
| Berlin: | 9.0% (92) |
| Maryland: | 6.5% (86,966) |
4:00 p.m. to 11:59 p.m. - Males:
| Berlin: | 3.4% (35) |
| Maryland: | 5.1% (68,188) |
12:00 a.m. to 4:59 a.m. - Females:
| Berlin: | 0.7% (8) |
| Maryland: | 3.1% (37,551) |
6:00 a.m. to 6:29 a.m. - Females:
| Berlin: | 3.8% (40) |
| Maryland: | 7.2% (86,538) |
6:30 a.m. to 6:59 a.m. - Females:
| Berlin: | 8.2% (87) |
| Maryland: | 8.4% (101,103) |
7:00 a.m. to 7:29 a.m. - Females:
| Berlin: | 20.8% (220) |
| Maryland: | 15.7% (188,852) |
7:30 a.m. to 7:59 a.m. - Females:
| Berlin: | 14.9% (158) |
| Maryland: | 12.9% (155,868) |
8:00 a.m. to 8:29 a.m. - Females:
| Berlin: | 7.2% (77) |
| Maryland: | 13.3% (159,924) |
8:30 a.m. to 8:59 a.m. - Females:
| Berlin: | 8.4% (90) |
| Maryland: | 7.9% (95,230) |
9:00 a.m. to 9:59 a.m. - Females:
| Berlin: | 16.1% (171) |
| Maryland: | 8.6% (103,216) |
10:00 a.m. to 10:59 a.m. - Females:
| Berlin: | 4.9% (53) |
| Maryland: | 3.5% (41,705) |
11:00 a.m. to 11:59 a.m. - Females:
| Berlin: | 3.2% (33) |
| Maryland: | 1.6% (19,450) |
12:00 p.m. to 3:59 p.m. - Females:
| Berlin: | 5.7% (61) |
| Maryland: | 6.0% (72,352) |
4:00 p.m. to 11:59 p.m. - Females:
| Berlin: | 7.5% (79) |
| Maryland: | 5.6% (67,354) |
Travel time to work
Percentage of workers working in this county: 78.3%
Number of people working at home: 195 (8.1% of all workers)
Daytime population change due to commuting: +1,923 (+55.1%)
Workers who live and work in this town: 480 (32.3%)
Number of people working at home: 195 (8.1% of all workers)
Daytime population change due to commuting: +1,923 (+55.1%)
Workers who live and work in this town: 480 (32.3%)
Less than 5 minutes:
| Berlin: | 1.8% (59) |
| Maryland: | 1.6% (38,588) |
5 to 9 minutes:
| Berlin: | 14.6% (471) |
| Maryland: | 6.6% (154,245) |
10 to 14 minutes:
| Berlin: | 11.6% (375) |
| Maryland: | 10.9% (256,336) |
15 to 19 minutes:
| Berlin: | 13.2% (425) |
| Maryland: | 14.3% (336,664) |
20 to 24 minutes:
| Berlin: | 16.0% (516) |
| Maryland: | 14.0% (328,151) |
25 to 29 minutes:
| Berlin: | 7.0% (225) |
| Maryland: | 7.5% (176,932) |
30 to 34 minutes:
| Berlin: | 14.8% (478) |
| Maryland: | 15.1% (354,486) |
35 to 39 minutes:
| Berlin: | 5.4% (174) |
| Maryland: | 4.1% (97,042) |
40 to 44 minutes:
| Berlin: | 5.1% (163) |
| Maryland: | 5.1% (120,795) |
45 to 59 minutes:
| Berlin: | 5.7% (183) |
| Maryland: | 10.2% (239,287) |
60 to 89 minutes:
| Berlin: | 3.9% (127) |
| Maryland: | 7.6% (177,217) |
90 or more minutes:
| Berlin: | 1.7% (55) |
| Maryland: | 2.9% (67,235) |
Less than 5 minutes:
| Berlin: | 7.5% (111) |
| Maryland: | 1.8% (47,843) |
5 to 9 minutes:
| Berlin: | 14.3% (213) |
| Maryland: | 6.6% (169,884) |
10 to 14 minutes:
| Berlin: | 17.2% (256) |
| Maryland: | 10.5% (271,204) |
15 to 19 minutes:
| Berlin: | 13.3% (198) |
| Maryland: | 12.4% (320,679) |
20 to 24 minutes:
| Berlin: | 18.0% (268) |
| Maryland: | 13.0% (337,452) |
25 to 29 minutes:
| Berlin: | 3.6% (53) |
| Maryland: | 6.1% (158,702) |
30 to 34 minutes:
| Berlin: | 12.2% (181) |
| Maryland: | 14.5% (375,140) |
35 to 39 minutes:
| Berlin: | 2.0% (30) |
| Maryland: | 3.5% (91,893) |
40 to 44 minutes:
| Berlin: | 1.5% (22) |
| Maryland: | 4.8% (123,823) |
45 to 59 minutes:
| Berlin: | 2.0% (30) |
| Maryland: | 11.3% (291,586) |
60 to 89 minutes:
| Berlin: | 3.0% (45) |
| Maryland: | 8.6% (223,613) |
90 or more minutes:
| Berlin: | 2.0% (29) |
| Maryland: | 3.6% (93,148) |
Less than 5 minutes - Males:
| Berlin: | 3.0% (42) |
| Maryland: | 1.6% (19,958) |
5 to 9 minutes - Males:
| Berlin: | 11.3% (160) |
| Maryland: | 5.7% (70,480) |
10 to 14 minutes - Males:
| Berlin: | 13.3% (188) |
| Maryland: | 9.7% (119,610) |
15 to 19 minutes - Males:
| Berlin: | 11.9% (168) |
| Maryland: | 13.5% (165,180) |
20 to 24 minutes - Males:
| Berlin: | 19.3% (273) |
| Maryland: | 12.9% (158,234) |
25 to 29 minutes - Males:
| Berlin: | 11.2% (158) |
| Maryland: | 7.3% (89,960) |
30 to 34 minutes - Males:
| Berlin: | 8.2% (116) |
| Maryland: | 15.5% (190,098) |
35 to 39 minutes - Males:
| Berlin: | 2.7% (38) |
| Maryland: | 4.2% (51,709) |
40 to 44 minutes - Males:
| Berlin: | 4.3% (61) |
| Maryland: | 5.3% (64,804) |
45 to 59 minutes - Males:
| Berlin: | 5.9% (84) |
| Maryland: | 11.2% (137,043) |
60 to 89 minutes - Males:
| Berlin: | 5.5% (78) |
| Maryland: | 9.4% (115,540) |
90 or more minutes - Males:
| Berlin: | 3.4% (48) |
| Maryland: | 3.6% (44,173) |
Less than 5 minutes - Females:
| Berlin: | 0.9% (16) |
| Maryland: | 1.7% (18,630) |
5 to 9 minutes - Females:
| Berlin: | 17.3% (313) |
| Maryland: | 7.5% (83,765) |
10 to 14 minutes - Females:
| Berlin: | 10.3% (186) |
| Maryland: | 12.2% (136,726) |
15 to 19 minutes - Females:
| Berlin: | 14.1% (256) |
| Maryland: | 15.3% (171,484) |
20 to 24 minutes - Females:
| Berlin: | 13.3% (242) |
| Maryland: | 15.2% (169,917) |
25 to 29 minutes - Females:
| Berlin: | 3.7% (67) |
| Maryland: | 7.8% (86,972) |
30 to 34 minutes - Females:
| Berlin: | 19.9% (361) |
| Maryland: | 14.7% (164,388) |
35 to 39 minutes - Females:
| Berlin: | 7.5% (136) |
| Maryland: | 4.0% (45,333) |
40 to 44 minutes - Females:
| Berlin: | 5.7% (104) |
| Maryland: | 5.0% (55,991) |
45 to 59 minutes - Females:
| Berlin: | 5.4% (98) |
| Maryland: | 9.1% (102,244) |
60 to 89 minutes - Females:
| Berlin: | 2.7% (48) |
| Maryland: | 5.5% (61,677) |
90 or more minutes - Females:
| Berlin: | 0.4% (8) |
| Maryland: | 2.1% (23,062) |
Means of transportation to work
Drove car alone:
| Berlin: | 85.6% (2,921) |
| Maryland: | 82.0% (909,901) |
Carpooled:
| Berlin: | 7.1% (244) |
| Maryland: | 9.9% (115,593) |
Bicycle:
| Berlin: | 0.9% (30) |
| Maryland: | 0.4% (2,237) |
Walked:
| Berlin: | 4.8% (165) |
| Maryland: | 2.4% (24,631) |
Other means:
| Berlin: | 1.5% (52) |
| Maryland: | 2.1% (25,384) |
Drove car alone:
| Berlin: | 76.3% (1,135) |
| Maryland: | 73.7% (1,910,917) |
Carpooled:
| Berlin: | 15.4% (229) |
| Maryland: | 12.4% (320,992) |
Subway or elevated:
| Berlin: | 0.3% (5) |
| Maryland: | 2.9% (75,090) |
Taxicab:
| Berlin: | 0.9% (13) |
| Maryland: | 0.3% (6,714) |
Bicycle:
| Berlin: | 0.3% (5) |
| Maryland: | 0.2% (4,843) |
Walked:
| Berlin: | 3.1% (46) |
| Maryland: | 2.5% (64,852) |
Other means:
| Berlin: | 0.2% (3) |
| Maryland: | 0.6% (14,621) |
Drove car alone - Males:
| Berlin: | 80.0% (1,193) |
| Maryland: | 82.7% (909,901) |
Carpooled - Males:
| Berlin: | 8.9% (132) |
| Maryland: | 9.5% (115,593) |
Bicycle - Males:
| Berlin: | 2.0% (30) |
| Maryland: | 0.5% (2,237) |
Walked - Males:
| Berlin: | 6.9% (102) |
| Maryland: | 2.5% (24,631) |
Other means - Males:
| Berlin: | 2.3% (34) |
| Maryland: | 1.9% (25,384) |
Drove car alone - Females:
| Berlin: | 90.0% (1,731) |
| Maryland: | 81.2% (909,901) |
Carpooled - Females:
| Berlin: | 5.8% (112) |
| Maryland: | 10.3% (115,593) |
Walked - Females:
| Berlin: | 3.2% (62) |
| Maryland: | 2.2% (24,631) |
Other means - Females:
| Berlin: | 1.0% (19) |
| Maryland: | 2.3% (25,384) |
Private vehicle occupancy
Drove alone:
| Berlin: | 91.8% (1,786) |
| Maryland: | 89.2% (2,046,832) |
In 2 person carpool:
| Berlin: | 7.9% (155) |
| Maryland: | 8.2% (188,419) |
Drove alone:
| Berlin: | 83.2% (1,135) |
| Maryland: | 85.6% (1,910,917) |
In 2 person carpool:
| Berlin: | 12.9% (176) |
| Maryland: | 11.2% (249,591) |
In 3 person carpool:
| Berlin: | 2.3% (31) |
| Maryland: | 1.9% (43,068) |
In 4 person carpool:
| Berlin: | 0.5% (7) |
| Maryland: | 0.7% (15,540) |
In 7+ person carpool:
| Berlin: | 1.1% (15) |
| Maryland: | 0.3% (6,020) |
Class of workers
Employee of private company:
| Berlin: | 62.1% (1,457) |
| Maryland: | 57.9% (1,834,766) |
Self-employed in own incorporated business:
| Berlin: | 7.9% (185) |
| Maryland: | 3.6% (114,186) |
Private not-for-profit wage and salary workers:
| Berlin: | 6.6% (156) |
| Maryland: | 10.1% (321,165) |
Local government workers:
| Berlin: | 6.7% (158) |
| Maryland: | 7.7% (243,652) |
State government workers:
| Berlin: | 6.7% (157) |
| Maryland: | 4.5% (142,830) |
Federal government workers:
| Berlin: | 1.6% (36) |
| Maryland: | 10.5% (333,930) |
Self-employed workers in own not incorporated business:
| Berlin: | 7.7% (180) |
| Maryland: | 5.4% (171,588) |
Unpaid family workers:
| Berlin: | 0.7% (17) |
| Maryland: | 0.2% (6,301) |
Employee of private company:
| Berlin: | 63.9% (962) |
| Maryland: | 60.5% (1,579,238) |
Self-employed in own incorporated business:
| Berlin: | 3.7% (56) |
| Maryland: | 3.2% (82,204) |
Private not-for-profit wage and salary workers:
| Berlin: | 5.7% (86) |
| Maryland: | 8.4% (219,162) |
Local government workers:
| Berlin: | 13.6% (205) |
| Maryland: | 7.9% (204,895) |
State government workers:
| Berlin: | 1.9% (29) |
| Maryland: | 4.4% (114,670) |
Federal government workers:
| Berlin: | 2.3% (35) |
| Maryland: | 10.0% (262,046) |
Self-employed workers in own not incorporated business:
| Berlin: | 8.0% (120) |
| Maryland: | 5.4% (140,769) |
Unpaid family workers:
| Berlin: | 0.8% (12) |
| Maryland: | 0.2% (5,473) |
Employee of private company - Males:
| Berlin: | 63.3% (696) |
| Maryland: | 62.1% (1,004,780) |
Self-employed in own incorporated business - Males:
| Berlin: | 8.7% (96) |
| Maryland: | 4.6% (73,780) |
Private not-for-profit wage and salary workers - Males:
| Berlin: | 4.7% (52) |
| Maryland: | 7.2% (115,680) |
Local government workers - Males:
| Berlin: | 6.3% (69) |
| Maryland: | 5.3% (85,832) |
State government workers - Males:
| Berlin: | 7.7% (85) |
| Maryland: | 3.8% (61,646) |
Self-employed workers in own not incorporated business - Males:
| Berlin: | 7.7% (85) |
| Maryland: | 6.0% (97,677) |
Unpaid family workers - Males:
| Berlin: | 1.6% (17) |
| Maryland: | 0.2% (3,498) |
Employee of private company - Females:
| Berlin: | 61.0% (761) |
| Maryland: | 53.5% (829,986) |
Self-employed in own incorporated business - Females:
| Berlin: | 7.1% (89) |
| Maryland: | 2.6% (40,406) |
Private not-for-profit wage and salary workers - Females:
| Berlin: | 8.4% (104) |
| Maryland: | 13.2% (205,485) |
Local government workers - Females:
| Berlin: | 7.1% (89) |
| Maryland: | 10.2% (157,820) |
State government workers - Females:
| Berlin: | 5.8% (72) |
| Maryland: | 5.2% (81,184) |
Federal government workers - Females:
| Berlin: | 2.9% (36) |
| Maryland: | 10.3% (159,815) |
Self-employed workers in own not incorporated business - Females:
| Berlin: | 7.6% (95) |
| Maryland: | 4.8% (73,911) |