ʻOiaiʻo ia he mea hana limahana iā ia me ka palenaʻole o ka luna, he hopena maʻamau ia no nā poʻe limahanaʻAmelika. He aha kaʻoi aku o ka maikaʻi ma mua o ka hiki iāʻoe ke hoʻonoho i kāu mau hola pono'ī, a no ka hana ma kahi a me kou makemake?
No kēlā me kēia kanaka i koho e hana i kaʻoihana o ka gig, akā, aia kekahi poʻe'ē aʻe i pau i laila ma kahi kohoʻole. Ua hoʻokauʻia kekahi poʻe limahana i ka hana pilikino e like me nā mea hana i hilinaʻi i nā limahana hanaʻaelike e pale i nā kumukūʻai o ke olakino a me nā pono e pili ana i ka laweʻana i nā limahana manawa lōʻihi. Eia kekahi, ua hoʻoneʻeʻia nā meaʻoihana kahiko i ka wā o ka lanakila nui a ua koho lākou no ka hana pilikino i hope loa, no ka mea,ʻaʻole i hiki iā lākou ke aʻo i ka hana maʻamau.
Loaʻa ka hopena o kahi hoʻolālā gig i kahi e hoʻopauʻia ai nā limahana e nā mea hana e hana ma kahi papahana me kaʻole o ke kūlana (a me nā pono ) o kekahi limahana paʻa . ʻO nā mea like me nā mea hoʻokani, nā mea hoʻokani pila, nā mea hana kiʻi kiʻi, a me nā limahana o ka wā kīʻawa ua hele mau i ka hana i ka gig, akā i kēia manawa, ua hoʻonuiʻia ka loli i nā wahi'ē aʻe e pili ana i nāʻoihana lawelawe.
ʻO ke kaʻina o ka manawa o ka hanahana pilikino
Ke hōʻike nei kaʻimi o ka Office of Labor Statistics (BLS) e hoʻolimalimaʻia kaʻoihana pilina mai ka makahiki 1994 a hiki i 2015.
I ka makahiki 1994, he 12.1 pakeneka ka lōʻihi o ke kanaka hana, a ma ka makahiki 2015, ua hōʻole ka huina i 10.1 pakeneka o ka poʻe limahana. Hiki ke weheweheʻia kēia hāʻule ma ka hapa nui ma kaʻoihana mahiʻai i kēlā manawa, no ka mea, he mauʻoihana mahiʻai aʻoihana na lākou no ka mahiʻai ma ka'āina, a he mau kānaka hana malihini paha.
Eia hou, ua waihoʻia nā wahi liʻiliʻi liʻiliʻi liʻiliʻi ma keʻano o ke kūlana o ka hale kūʻai a me nā hale kūʻai pahu nui.
Eia naʻe,ʻo ka Harvard Business Review (HBR) e hōʻike nei,ʻoiaiʻo ka nui o nā mea hana limahana i hoʻopaʻaʻia e like me ka'ōlelo a ke aupuni, ua hoʻomauʻia ma keʻano mau mai 2000 mai, ua piʻi ka helu maoli o nā limahana kūʻokoʻa. Hōʻike ka HBR i kaʻokoʻa i kahi ho'ākāka paʻa loa o ka hana pilikino i hoʻohanaʻia e ka BLS.
Pono ke aupuni e koi i nā mea noiʻi noiʻi e haʻi i hoʻokahi wale nōʻano o ka hana mai nā kohoʻekolu: kahi kūʻokoʻa, aupuni, aiʻole hana hana. ʻO nā limahana manawahana, nā kānaka i hana no lākou iho ma ka manawa manawa , a me nā mea hana aelike a pau, aia lākou i loko o ka nānāʻana o ke aupuni.
Ua nānāʻo Mckinsey Global Institute i nā kānaka he 8,000 maʻAmelika Huipūʻia a meʻEulopa a ua kohoʻia he 20 pakeneka - 30 pakeneka o ka poʻe limahana hana i kekahi "ʻano hana kūʻokoʻa."
Nā Hola Hualāihana ma ka Gig Economy
ʻO nā manawa kūpono no kaʻoihana pilikino iʻoi aku kaʻokoʻa ma nāʻoihana likeʻole. Wahi a LinkedIn,ʻo nā mea hana i hoʻololi i kaʻoihana i nā mahina he 12 i hala iho nei i kahakahaʻia i:
- ʻO ke olakino (+11 pakeneka)
- Mea waiwai (+10 pakeneka)
- Kūkulu (+8 pakeneka)
- ʻO ke kālā (+8 pakeneka)
- Nā Pūnaewele / IT Services (+5 pakeneka)
Ua hōʻike kekahi mauʻoihana i ka emiʻana o ka heluna o nā mea hana limahana limahana:
- Hoʻomalu Haulekana (-16 pakeneka)
- Kālepa kūʻai (-12 pakeneka)
- Nā'Ōlelo (-11 pakeneka)
- Hoʻopuka / Holokaʻi (-9 pakeneka)
- ʻO ka mahiʻai (-8 pakeneka)
Nā Hanahana Kūikawā no ka hana kūʻokoʻa
Wahi a Upwork, heʻenehana alakaʻi pūnaewele e pili ana i nā pilikino i nā limahana, nāʻoihana pilikino kaulana:ʻo nā mea hoʻolālā a me nā mea hana, pūnaewele, nā pūnaewele a me nā papahana polokalamu, nā papahana kākoʻo hoʻomalu, nā mea kākau a me nā unuhi'ōlelo. / kālepa / nā meaʻoihana lawelawe, nā loio / palealiʻi, nā mea hoʻokele a me nā mea hana kiʻi, a me nā mea'enekemaʻikepili.
Hoʻonohonohoʻo Careervast i nā aides o ke kino home, nā meaʻoihana hana, a me nā mea hoʻokele puka like o nāʻoihana'ē aʻe me nā ulu ulu ulu no nā freelancers.
Kahi e lawelawe ana - aʻaʻole paha
Wahi a ka BLS, he 21 mau moku'āina iʻoi aku ka nui o kaʻoihana pilikino ma mua o ka nuiʻana o 10.1 pakeneka i ka makahiki 2015.ʻO nā moku'āina me nā helu kiʻekiʻe loa:
- Montana 16.1 pakeneka
- Maine 15.4 pakeneka
- ʻO Vermont 14.4 pakeneka
- ʻO Kekahuna South Dakota 14.2 pakeneka
ʻO nā moku'āina he iwakāluakūmāiwa iʻoi aku ka nui o nā hanaʻoihana pono'ī. ʻO ka haʻahaʻa i loko:
- Mahele District o Columbia 7.1 pakeneka
- Delaware 7.2 pakeneka
- ʻO Alabama he 7.5 pakeneka
Ka hana hana pilikino ma o ka makahiki
He 65 mau makahiki a me nā makahiki o ka poʻe i loaʻa kaʻoihana kiʻekiʻe loa ma ka 24.1 pakeneka,ʻo ka poʻe 55 a hiki i ka 14 ma ka 14.7 pakeneka, 45 a 54 mau makahiki i 11.8 pakeneka, 35 a 44 mau makahiki i 10.1 pakeneka, 25 a 34 makahiki i 5.7 pakeneka, a he 16 a 24 mau makahiki i 2.2 pakeneka.
Ka hana hana pilikino ma o ke kāne
Uaʻoi aku ka nui o ka hanaʻana o nā kāne i ka 12.3 pakeneka,ʻoiai he 7.5 pakeneka wale nō o nā wāhine i hana iā lākou iho.
Ka hanahana pilikino ma o ke kula haʻahaʻa
ʻO nā haʻawina o ka hana pilikino heʻano iki, akā,ʻaʻole iʻoi aku ka nui, ma ke kūlana o ka hoʻonaʻauaoʻana e like me ka BLS. ʻO kēlā mau limahana i loaʻa nā mākelē kumuhana a me nā mākelē lapaʻau paha he mea'ē aʻe aʻike i nāʻoihana kiʻekiʻeʻoi aʻe o kahi hana pilikino:
- ʻO ka 21.3 pakeneka o nā kānaka me ke kēkelē laepua, e like me nā kauka, nā loio, a me nā mea kākau e mālama nei i nā hana kūʻokoʻa, he hana pono'ī lākou.
- He 16.6 pakeneka o ka poʻe i loaʻa ke kēkelē laepua i hana kūʻokoʻa.
- ʻO nā mea hana me ke kēkelē ke kula kiʻekiʻe a me ka poʻe i loaʻa ke kūkelē laepua, he 11.2 pakeneka ka lōʻihi o ka hana.
- Loaʻa i ka poʻe loaʻa ke kēkelē laepua i 9.3 pakeneka.
Ka hanahana pilikino ma muli o ka Country of Origin and Race
ʻO nā mea hana i ka'āina'ē, he meaʻoi aku kaʻoihana ponoʻole ma mua o kā lākou mau mea i hānauʻia ma ka'āina. He 11.2 pakeneka ka lōʻihi no ka poʻeʻoihana haole a he 9.8 pakeneka wale nō no nā poʻe hānau hānau maoli.
ʻO kaʻoihana pilikino (10.9 pakeneka) uaʻoi aku kaʻoihanaʻoihana ma mua o ka Black / African American (5.2 pakeneka),ʻo Asians (9.6 pakeneka), aiʻole Latinos (8.3 pakeneka).
Ka hana hana pilikino: Ke koho a me ka hoʻoikaikaʻana?
LinkedIn Hōʻike manaʻo no nā freelancers i nānāʻia,ʻoi aku ma mua o 50 pakeneka i ka manaʻo e hoʻiʻole i ka hana manawa manawa kūikawā a makemake e hana maʻamau. Ma kahi o 20 pakeneka e'ōlelo ana e hana lākou iʻeono mau helu aʻoi aʻe i kēia makahiki mai ke kaʻawale.
Ua hōʻikeʻia ka hōʻike o ka Mckinsey Global Institute e 70 pakeneka o nā mea hana limahana i koho maʻamau i kēlā kūlana he kumu kumu mua a wahi kumu waiwai paha. ʻO ke koena 30% o ka poʻeʻoihana pilikino kahi i noho ai ma kēlāʻano heʻano "hōʻeuʻeuʻole" ka mea e makemake i nāʻoihana kūikawā a iʻole "nā mea i kālepaʻoleʻia" i hoʻoikaikaʻia i kā lākou kālā ma o ka hana kūʻokoʻa.
ʻO nā limahana i'ōhumuʻia i kaʻoihana pilikino,ʻaʻole loa lākou e hoʻokipaʻia a hiki i ka poʻe nui ke loaʻa i ka waiwai a loaʻaʻole paha mai kā lākou hana. No laila,ʻaʻole hiki ke hōʻike kūpono nā poʻe hana hanaʻole i kēia pūʻulu o nā limahana i hiki ke pane aku i ka hana pilikino no nā noiʻi a ke aupuni.
Nā Hōʻike Manaʻo no ka Gig Economy
ʻO ka BLS ka hana e hoʻonuiʻia kaʻoihana hanaʻole o kaʻoihana mahiʻai ma kahi kokoke i ka 7 pakeneka mai ka makahiki 2014 - 2024. Ua hoʻokumuʻia ka manaʻo kiʻekiʻe i kahiʻoihana kiʻekiʻe (43 pakeneka) ma ka 2020. E pili ana kēia maʻamau i ka loaʻa ponoʻana. ia mālama olakino a hiki ke kaʻapona no nā poʻe hana i komoʻole me ka poʻe hana i ka manawa manawa piha .
Ma kahi hou o 2700 United States hana e FreshBooks, hiki ke hoʻonuiʻia ka heluna o nā mea hana limahana he 42 miliona ma ka 2020. Uaʻike muaʻia ka nui o nā millennials e pili ana i ka hana manuahi, a ua hoʻolālāʻia i loko o kēia haʻawina e lilo i 42% o ka mea hou. nā limahana hana.
Nāʻikepili helu hana pilikino i hoʻolakoʻia e ka Office of Labour Statistics ' Self-Employment in the United States (2016)