scholarly journals Reverse Migration to Mexico Led to US Undocumented Population Decline: 2010 to 2018

2020 ◽  
Vol 8 (1) ◽  
pp. 32-41 ◽  
Author(s):  
Robert Warren
Keyword(s):  
United States ◽  
New York ◽  
Large Population ◽  
Population Decline ◽  
New York State ◽  
The United States ◽  
Executive Summary ◽  
Reverse Migration ◽  
The Us ◽  
Almost All

Executive Summary This report presents estimates of the undocumented population residing in the United States in 2018, highlighting demographic changes since 2010. The Center for Migration Studies of New York (CMS) compiled these estimates based primarily on information collected in the US Census Bureau’s American Community Survey (ACS). The annual CMS estimates of undocumented residents for 2010 to 2018 include all the detailed characteristics collected in the ACS. 1 A summary of the CMS estimation procedures, as well as a discussion of the plausibility of the estimates, is provided in the Appendix . The total undocumented population in the United States continued to decline in 2018, primarily because large numbers of undocumented residents returned to Mexico. From 2010 to 2018, a total of 2.6 million Mexican nationals left the US undocumented population; 2 about 1.1 million, or 45 percent of them, returned to Mexico voluntarily. The decline in the US undocumented population from Mexico since 2010 contributed to declines in the undocumented population in many states. Major findings include the following: The total US undocumented population was 10.6 million in 2018, a decline of about 80,000 from 2017, and a drop of 1.2 million, or 10 percent, since 2010. Since 2010, about two-thirds of new arrivals have overstayed temporary visas and one-third entered illegally across the border. The undocumented population from Mexico fell from 6.6 million in 2010 to 5.1 million in 2018, a decline of 1.5 million, or 23 percent. Total arrivals in the US undocumented population from El Salvador, Guatemala, and Honduras — despite high numbers of Border Patrol apprehensions of these populations in recent years — remained at about the same level in 2018 as in the previous four years. 3 The total undocumented population in California was 2.3 million in 2018, a decline of about 600,000 compared to 2.9 million in 2010. The number from Mexico residing in the state dropped by 605,000 from 2010 to 2018. The undocumented population in New York State fell by 230,000, or 25 percent, from 2010 to 2018. Declines were largest for Jamaica (−51 percent), Trinidad and Tobago (−50 percent), Ecuador (−44 percent), and Mexico (−34 percent). The results shown here reinforce the view that improving social and economic conditions in sending countries would not only reduce pressure at the border but also likely cause a large decline in the undocumented population. Two countries had especially large population changes — in different directions — in the 2010 to 2018 period. The population from Poland dropped steadily, from 93,000 to 39,000, while the population from Venezuela increased from 65,000 to 172,000. Almost all the increase from Venezuela occurred after 2014.

The All-Powerful NIMBY

2000 ◽  
Author(s):  
Hans Tammemagi
Keyword(s):  
United States ◽  
New York ◽  
Waste Management ◽  
New York State ◽  
The United States ◽  
Modern Technology ◽  
Strong Trend ◽  
The People ◽  
Transfer Stations ◽  
Almost All

Our society has reached a frustrating impasse: everyone wants consumer goods, but nobody wants the associated waste. In all levels of society from the grass-roots to the highest level of politics, enormous public opposition has developed to siting landfills, incinerators, or transfer stations. With complex judicial and political systems that promote empowerment of the people, it has become common for opposition groups to delay or halt altogether the introduction of new waste management facilities. The NIMBY—Not In My Back Yard—syndrome has become a powerful force. This chapter explores the process by which the sites for landfills and related waste facilities are selected. This fascinating topic goes far beyond technical issues: it provides insight into human behavior and the ways political decisions are made. An understanding of the NIMBY phenomenon is essential for anyone who wishes to pursue a career in waste management. In some regions there is already a crisis. In New Jersey, for example, the number of landfills has dropped from more than 300 to about a dozen in the past two decades. As a result, more than half of New Jersey’s municipal solid waste must be exported to other states. In New York state, 298 landfills were closed and only 6 new ones opened in the decade since 1982. The same story is unfolding in almost all jurisdictions in North America; the number of landfills in the United States dwindled from 20,000 in 1979 to about 5,300 in 1993 (Miller, 1997). There is a very strong trend toward fewer—but much bigger—landfills. In the United States it is estimated that 8% of the existing landfills handle 75% of the country’s garbage. As the number of landfills decreases, their heights grow, casting dark shadows across the land. There is no doubt that new landfills are safer than old ones: they are generally better sited and incorporate better engineering and modern technology such as liners, covers, and leachate and gas extraction systems. However, people still do not want them next door. Thus, the few new landfills that are being developed are getting larger and larger; the megadump is the trend of the future.

scholarly journals New York State and the Nation: Trends in Firearm Purchases and Firearm Violence During the COVID-19 Pandemic

2020 ◽  
pp. 000313482095482
Author(s):  
Megan R. Donnelly ◽  
Philip S. Barie ◽  
Areg Grigorian ◽  
Catherine M. Kuza ◽  
Sebastian Schubl ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
New York State ◽  
The United States ◽  
Social Stressors ◽  
York State ◽  
Firearm Violence ◽  
The Us ◽  
Before And After ◽  
The Impact

Background The impacts of social stressors on violence during the coronavirus disease 2019 (COVID-19) pandemic are unknown. We hypothesized that firearm purchases and violence would increase surrounding the pandemic. This study determined the impact of COVID-19 and shelter-in-place (SIP) orders on firearm purchases and incidents in the United States (US) and New York State (NYS). Methods Scatterplots reflected trends in firearm purchases, incidents, and deaths over a 16-month period (January 2019 to April 2020). Bivariate comparisons of SIP and non-SIP jurisdictions before and after SIP (February 2020 vs. April 2020) and April 2020 vs. April 2019 were performed with the Mann-Whitney U test. Results The incidence of COVID-19 in the US increased between February and April 2020 from 24 to 1 067 660 and in NYS from 0 to 304 372. When comparing February to March to April in the US, firearm purchases increased 33.6% then decreased 22.0%, whereas firearm incidents increased 12.2% then again increased by 3.6% and firearm deaths increased 23.8% then decreased in April by 3.8%. In NYS, comparing February to March to April 2020, firearm purchases increased 87.6% then decreased 54.8%, firearm incidents increased 110.1% then decreased 30.8%, and firearm deaths increased 57.1% then again increased by 6.1%. In both SIP and non-SIP jurisdictions, April 2020 firearm purchases, incidents, deaths, and injuries were similar to April 2019 and February 2020 (all P = NS). Discussion Coronavirus disease 2019–related stressors may have triggered an increase in firearm purchases nationally and within NYS in March 2020. Firearm incidents also increased in NYS. SIP orders had no effect on firearm purchases and firearm violence.

scholarly journals Statelessness in the United States: A Study to Estimate and Profile the US Stateless Population

2020 ◽  
Vol 8 (2) ◽  
pp. 150-213
Author(s):  
Donald Kerwin ◽  
Daniela Alulema ◽  
Michael Nicholson ◽  
Robert Warren
Keyword(s):  
United States ◽  
At Risk ◽  
New York ◽  
Legal Status ◽  
The United States ◽  
Census Bureau ◽  
Executive Summary ◽  
Public And Private ◽  
Data Limitations ◽  
The Us

Executive Summary In October 2017, the Center for Migration Studies of New York (CMS) initiated a study to map the stateless population in the United States. This study sought to: Develop a methodology to estimate the US stateless population; Provide provisional estimates and profiles of persons who are potentially stateless or potentially at risk of statelessness in the United States; Create a research methodology that encouraged stateless persons to come forward and join a growing network of persons committed to educating the public on and pursuing solutions to this problem; and Establish an empirical basis for public and private stakeholders to develop services, programs, and policy interventions to prevent and reduce statelessness (UNHCR 2014g, 6), and to safeguard the rights of stateless persons ( UNHCR 2014d ). This report describes a unique methodology to produce estimates and set forth the characteristics of US residents who are potentially stateless or potentially at risk of statelessness. The methodology relies on American Community Survey (ACS) data from the US Census Bureau, supplemented by very limited administrative data on stateless refugees and asylum seekers. 1 As part of the study, CMS developed extensive, well-documented profiles of non–US citizen residents who are potentially stateless or potentially at risk of statelessness. It then used these profiles to query ACS data to develop provisional estimates and determine the characteristics of these populations. The report finds that the population in the United States that is potentially stateless or potentially at risk of statelessness is larger and more diverse than previously assumed, albeit with the caveat that severe data limitations make it impossible to provide precise estimates of this population. Stateless determinations require individual screening, which the study could not undertake. Individuals deemed potentially stateless or potentially at risk of statelessness in this report may in fact have been able to secure nationality in their home countries or in third countries. They may also be on a path to citizenship in the United States, although nobody in CMS’s estimates had yet to obtain US citizenship. According to CMS’s analysis, roughly 218,000 US residents are potentially stateless or potentially at risk of statelessness. These groups live in all 50 states, 2 with the largest populations in California (20,600), New York (18,500), Texas (15,200), Ohio (13,200), Minnesota (11,200), Illinois (8,600), Pennsylvania (8,200), Wisconsin (7,300), Georgia (6,600), and Virginia (6,500). The report recommends ways to improve data collection and, thus, develop better estimates in the future. It also lifts up the voices and challenges of stateless persons, and outlines steps to reduce statelessness and safeguard the rights of stateless persons in the United States. As it stands, the paucity of reliable federal data on the stateless, the lack of a designated path to legal status for them under US law, and the indifference of government agencies contribute to the vulnerability and isolation of these populations.

scholarly journals Potential Years of Life Lost Due to COVID-19 in the United States, Italy, and Germany: An Old Formula with Newer Ideas

2020 ◽  
Vol 17 (12) ◽  
pp. 4392 ◽  
Author(s):  
Amal K. Mitra ◽  
Marinelle Payton ◽  
Nusrat Kabir ◽  
April Whitehead ◽  
Kimberly N. Ragland ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
New York State ◽  
The United States ◽  
Years Of Life Lost ◽  
Premature Deaths ◽  
Upper Limit ◽  
The Us ◽  
The World ◽  
Age Limits

Today, the world is facing the challenge of a major pandemic due to COVID-19, which has caused more than 6.1 million cases of infection and nearly 370,000 deaths so far. Most of the deaths from the disease are clustered in the older population, but the young and children are not spared. In this context, there is a critical need to revisit the formula for calculating potential years of life lost (PYLL). Data on age-specific deaths due to COVID-19 in three countries, including the United States (US), Italy, and Germany, were evaluated. New York State, as a significant outlier within the US, was also included. PYLLs in the US were five times as high as those of Italy. Compared with Germany, PYLLs in Italy were 4 times higher, and the rates in the US were 23, 25, and 18 times higher when using upper age limits of 70, 75, and 80, respectively. Standardized PYLLs in New York were 2 times as high as the rates in Italy, and 7 to 9 times as high as PYLLs in Germany. The revised formula of PYLL, using an upper limit of age 80, is recommended to accurately measure premature deaths due to a major disastrous disease such as COVID-19.

“The Olmsted City”

2020 ◽  
pp. 17-41
Author(s):  
Stewart Weaver
Keyword(s):  
United States ◽  
New York ◽  
Manufacturing Industry ◽  
New York State ◽  
The United States ◽  
York State ◽  
Almost All

This chapter talks about the Niagara Section of the New York State Thruway, which hurtles thoughtlessly through the sprawling geography of nowhere. It refers to Frederick Law Olmsted's Humboldt Parkway as one of the most beautiful and distinctive streets in America. It also discusses Olmsted's surving work in Buffalo, both physically and psychologically, that even in its mangled form remains one of the most original and distinctive park ensembles in the United States. The chapter recounts how Buffalo lost half its people and almost all its manufacturing industry between 1950 and 2000. It illustrates Buffalo as the client for whom Olmsted exercised the fullest measure of his genius.

scholarly journals Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United States

2020 ◽  
Author(s):  
Difan Zou ◽  
Lingxiao Wang ◽  
Pan Xu ◽  
Jinghui Chen ◽  
Weitong Zhang ◽  
...  
Keyword(s):  
United States ◽  
Machine Learning ◽  
New York ◽  
Epidemic Model ◽  
New York State ◽  
The United States ◽  
Machine Learning Algorithms ◽  
York State ◽  
Link Type ◽  
The Us

AbstractWe propose a new epidemic model (SuEIR) for forecasting the spread of COVID-19, including numbers of confirmed and fatality cases at national and state levels in the United States. Specifically, the SuEIR model is a variant of the SEIR model by taking into account the untested/unreported cases of COVID-19, and trained by machine learning algorithms based on the reported historical data. Besides providing basic projections for confirmed and fatality cases, the proposed SuEIR model is also able to predict the peak date of active cases, and estimate the basic reproduction number (). In particular, the forecasts based on our model suggest that the peak date of the US, New York state, and California state are 06/01/2020, 05/10/2020, and 07/01/2020 respectively. In addition, the estimated of the US, New York state, and California state are 2.5, 3.6 and 2.2 respectively. The prediction results for all states in the US can be found on our project website: https://covid19.uclaml.org, which are updated on a weekly basis, and have been adopted by the Centers for Disease Control and Prevention (CDC) for COVID-19 death forecasts (https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html).

Seasonal Activity of Haemaphysalis longicornis (Acari: Ixodidae) in Southern New York State

2020 ◽  
Author(s):  
Nicholas P Piedmonte ◽  
Vanessa C Vinci ◽  
Thomas J Daniels ◽  
Bryon P Backenson ◽  
Richard C Falco
Keyword(s):  
United States ◽  
New York ◽  
Activity Patterns ◽  
New York State ◽  
The United States ◽  
Haemaphysalis Longicornis ◽  
Seasonal Activity ◽  
Eastern Asia ◽  
Short Life ◽  
Human Bite

Abstract The Asian longhorned tick, Haemaphysalis longicornis Neumann, is a species native to eastern Asia that has recently been discovered in the United States. In its native range, H. longicornis transmits pathogens that cause disease in humans and livestock. It is currently unknown whether H. longicornis will act as a vector in the United States. Understanding its seasonal activity patterns will be important in identifying which times of the year represent greatest potential risk to humans and livestock should this species become a threat to animal or public health. A study site was established in Yonkers, NY near the residence associated with the first reported human bite from H. longicornis in the United States. Ticks were collected once each week from July 2018 to November 2019. Haemaphysalis longicornis larvae were most active from August to November, nymphs from April to July, and adult females from June to September. This pattern of activity suggests that H. longicornis is capable of completing a generation within a single year and matches the patterns observed in its other ranges in the northern hemisphere. The data presented here contribute to a growing database for H. longicornis phenology in the northeastern United States. Potential implications of the short life cycle for the tick’s vectorial capacity are discussed.

Handguns: Risks versus Benefits

PEDIATRICS ◽  
1986 ◽  
Vol 77 (5) ◽  
pp. 781-782
Author(s):  
KATHERINE K. CHRISTOFFEL ◽  
TOM CHRISTOFFEL
Keyword(s):  
United States ◽  
New York ◽  
New York Times ◽  
The United States ◽  
Gun Control ◽  
Second Amendment ◽  
High Prevalence ◽  
The Us ◽  
Us Supreme Court ◽  
P 16

THE ISSUE There are an estimated 40 to 50 million handguns in the United States, with approximately 2 million more being manufactured annually1 (The New York Times, July 9, 1985, p 16). The high prevalence of handgun injury in the United States is unique in all the world and is increasing. Children are among the growing legions of US citizens harmed by the handgun epidemic.2 The effort to control handguns is focussed on developing laws to control their manufacture, importation, purchase, possession, and use. Opponents of these legal approaches claim that gun control endangers constitutional freedoms. When asked, the US Supreme court has consistently rejected that position in favor of the view that the Second Amendment protects a collective, not a personal, right to bear arms.3,4

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