Showing posts with label Manhattan. Show all posts
Showing posts with label Manhattan. Show all posts

Monday, March 22, 2021

MANHATTAN DA | Liz Crotty on June 22

Liz Crotty for DA, June 22
The Democratic Primary in New York is on June 22. This primary will determine who will be on the Democratic line in November.

One of the positions up for a vote is Manhattan District Attorney. The incumbent, Cy Vance, has announced he is not going to run again. He has his hands full finishing up some high-profile cases.

This post is an endorsement of a candidate for the Manhattan DA nomination, Liz Crotty.

I am posting this endorsement for two reasons. 


First, I attended the endorsement meeting of my local club and I was not given an opportunity to vote. I still don’t understand how that happened. But it means I am a free agent here, which is a good thing, because I strongly support Liz Crotty.


Second, I have known Liz for many years and I think highly of her. She grew up in Stuyvesant Town, an egalitarian complex on the east side of Manhattan near Baruch College, where I used to be an assistant professor of finance. She is the centrist in this primary and I wish we had more candidates who were prepared to take that stance.


I got to know New York City pretty well in the mid-1970s through the mid-2000s as a finance professor, then the CEO of an urban-policy think tank, and then chief economist for three New York City Comptrollers. Liz Crotty grew up during that period in New York City, and she knows how big an impact crime and civil unrest had on the city during that period. Liz says she experienced the scare of having to run into a Safe Haven Program store. She had to escape predatory men. Someone she knew was the victim of a stabbing.


She graduated from Fordham Law School, and in 2000, she began her six-year career at the Manhattan District Attorney’s Office when Robert Morgenthau was Manhattan DA, until 2009.


I am a fan of the Morgenthaus, father Henry and son Robert. My Dad was hired by Henry Morgenthau, Jr. via a competitive civil service exam he took in 1933. Thousands of candidates took the test, and Morgenthau hired just three hundred for the Farm Credit Administration. Morgenthau was put in charge of that agency instead of being in the cabinet as Secretary of Agriculture, because the farm lobby objected to having someone Jewish like Morgenthau heading the agency. Instead, in 1934 FDR appointed Henry Morgenthau Jr. to the position of Secretary of the Treasury (there were also objections to that appointment, but FDR by then was on a roll and paid less attention to complaints about his appointments). I am writing the biography of Henry Morgenthau’s predecessor as Secretary of the Treasury, Will Woodin.


In her six-year stint as an Assistant District Attorney, Liz served first in the Trial Division. She worked on more than three thousand cases altogether. Her Trial Division cases involved street crimes, attempted murder, kidnapping, assault, burglary, robbery, and drug sales, as well as complex crimes like forgery, grand larceny, identity theft, and money laundering. Liz was known for investigating and resolving matters—whether by trial or plea, before both judges and juries.


After serving more than four years in Trial (Bureau 70), Liz moved into the Investigation Division, expanding her legal skills. For two years in the Investigation Division, Liz worked on complex white-collar cases on the local, national, and international levels.


After leaving the Manhattan DA’s Office, Liz worked in civil law on complex international investigations and litigations, involving aviation litigation, wrongful death, negligence, and product liability.


Liz started her own criminal-law firm twelve years ago. She and her partner built a law firm that, represents people throughout New York City and around the world, to help them receive justice. Liz represents people on crimes ranging from grand larceny, fraud, assault to rape, DWI, and weapons possession. A zealous advocate who fights aggressively for her clients, Liz is also well reasoned, approachable and personable.


She can see ways to make the District Attorney’s Office perform better. However, she understands the only way to improve the office is with a practical plan. Her plan starts with ensuring the office is prioritizing every New Yorker’s hope for public safety, because each neighborhood and community needs to feel that the District Attorney’s Office is tackling their concerns. That means it must be responsive to every community in Manhattan, as well as working with the police to ensure they are protecting us with dignity and honor.


Liz is admitted to New York State Courts and the Federal Southern and Eastern Districts of the New York. She currently serves as a board member for the Manhattan District Attorney’s Association, a not-for-profit alumni organization of the Manhattan DA’s Office. In addition, she serves on the New York City Bar Association’s Judiciary Committee, evaluating judicial candidates for election. Most recently, she was a judicial delegate to the NYC Supreme Court judicial convention.


She is a trained Mediator, having completed the Mediation Training at the NY Peace Institute. In addition, she volunteers with the CFI Project, which assists recent immigrant arrivals requesting political asylum and prepares them for their credible fear interview. Liz is also a volunteer on the pro-bono panel in New York’s Southern District.


On June 22, or possibly before, I plan to vote for Liz Crotty for DA.

Friday, March 27, 2020

NEW YORK STATE | County Deaths from COVID (1)

This table is updated on April 3, 2020.
March 27, 2020–As of yesterday, Bronx County (Borough of The Bronx) was the epicenter of coronavirus fatalities, within the New York City epicenter. 

It had suffered 5.8 deaths per 100,000 population, the highest rate of the large counties. 

The table shows all the New York counties with 300,000 population or more. NYS Governor Andrew Cuomo's observation that density is a key predictor of the spread of the virus is generally valid. However, within the five counties/boroughs of New York City, the fatalities may be affected by where people work, where they live and where they are hospitalized. 

The data in the table should be watched as an indicator of how the virus is spreading within the state and how hospitals are being challenged by lack of masks, testing kits and ventilators. New York State this week is where other states may be in three weeks.

Wednesday, September 6, 2017

SUFFOLK, NY | Disappointing 1Q17

Suffolk County, N.Y.
The first-quarter county data came out from the Bureau of Labor Statistics this morning (http://bit.ly/2wFDNPd), showing how Suffolk County is doing on jobs and wages.

Average employment in the county rose 0.6 percent, up slightly from the first quarter of the previous year, but not as much as most other counties. Suffolk ranked #259 out of 347 large U.S. counties, on the edge of the bottom quartile.

Manhattan jobs, by comparison, rose 1.3 percent, closer to the median county average. Brooklyn jobs rose 3.2 percent, which ranks #34, in the top tenth of the large counties.

Suffolk average wages rose 5.1 percent, ranking #260 out of the 347 counties, which puts it in the bottom quartile. In Manhattan, by contrast, wages rose 6.3 percent, again putting the county in the middle of the ranking.

Monday, August 17, 2015

REAL ESTATE | Where NYC Boom Is

August 17, 2015–This New York Times chart based on data from NYC's Department of Finance shows how important Central Park is for creating real estate value. It also shows the resurgence of interest in the older parts of New York City, mostly on the West Side south of Midtown.

Friday, November 21, 2014

INCOMES | U.S. Counties, 2013

The dark blue areas have seen significantly higher personal incomes in 2013.
The brown areas have been flat or have seen declines. The others are
closer to the national average increase of 1.3 percent.
Personal income data by county for 2013 were just released by the Bureau of Economic Analysis.

Of course, the numbers being for the year 2013 when it's nearly 2015, the reaction could be: Ho hum.

But the delay is made up for by the reliability and importance of the numbers. They provide a good comparative look at the counties.

Personal income data by county tell us how their neighbors are doing over time and relative to the rest of the country.

The Bureau of Labor Statistics numbers on jobs and unemployment are released faster because we agree to suspend disbelief in our eagerness to have the data in our hands. The BLS tries to adjust the data to mask the variability of the data resulting from seasonality and small sample coverage in the household survey. The BEA's per capita personal income numbers by county are closer to a final answer to the important question: "How are we doing, money-wise?"

Some regional data are in the table below, abbreviated to make it easier to talk about and handle (the full table is at www.bea.gov under "Regional"). The top line is the summary for the United States. Per capita income grew from $42,332 in 2011 to $44,765 in 2013. There was quite a jump between 2011 and 2012, 4.4 percent, but the increase between 2012 and 2013 was less than one-third the rate, 1.3 percent.

Knowing that the country as a whole had a spurt of personal income in 2012 and then fell back to a lower rate in 2013 helps interpret how each state and county was doing.

The states vary considerably among themselves and between years in the change in their share of the increased income. Arkansas jumped 6.8 percent in 2012 and then rose only 0.8 percent in 2013. The District of Columbia actually saw a loss of per capita income in 2013, but at $75,950 in 2012 that was a loss from a high base.

The variability is even greater among counties. Indian River County (Vero Beach) saw its per capita income grow 5 percent in 2012, but then it declined in 2013. Palm Beach grew 4.8 percent from its high base of $57,252 and kept growing in 2013 at the national rate of 1.3 percent.

Table 1. Per Capita Personal Income by County, 2011-2013
Per capita personal income and Rank in State
Change and Rank in State
Dollars
Rank
Percent change
Rank
2011
2012
2013
2013
2012
2013
2013
United States
42,332
44,200
44,765
--
4.4
1.3
--
Alabama
35,010
35,942
36,481
--
2.7
1.5
--
Alaska
48,181
49,906
50,150
--
3.6
0.5
--
Arizona
35,512
36,624
36,983
--
3.1
1.0
--
Arkansas
34,089
36,423
36,698
--
6.8
0.8
--
California
44,749
47,505
48,434
--
6.2
2.0
--
Colorado
44,183
46,315
46,897
--
4.8
1.3
--
Connecticut
57,547
60,223
60,658
--
4.7
0.7
--
Delaware
42,696
44,031
44,815
--
3.1
1.8
--
District of Columbia
74,103
75,950
75,329
--
2.5
-0.8
--
Florida
40,215
41,041
41,497
--
2.1
1.1
--
Indian River (Vero)
51,890
54,501
54,448
5
5.0
-0.1
62
Miami-Dade
38,242
39,467
39,880
17
3.2
1.0
41
Orange (Orlando)
36,333
37,479
37,844
24
3.2
1.0
44
Palm Beach
54,616
57,252
57,985
2
4.8
1.3
34
St. Lucie
31,289
30,932
31,182
40
-1.1
0.8
49
Georgia
36,422
37,229
37,845
--
2.2
1.7
--
Hawaii
42,989
44,578
45,204
--
3.7
1.4
--
Idaho
33,677
35,142
36,146
--
4.4
2.9
--
Illinois
44,169
46,009
46,980
--
4.2
2.1
--
Cook
46,966
48,948
49,661
7
4.2
1.5
90
Indiana
36,367
38,136
38,622
--
4.9
1.3
--
Iowa
42,656
44,014
44,763
--
3.2
1.7
--
Kansas
42,098
43,380
44,417
--
3.0
2.4
--
Kentucky
34,568
35,857
36,214
--
3.7
1.0
--
Louisiana
38,501
40,617
41,204
--
5.5
1.4
--
Maine
38,802
39,863
40,924
--
2.7
2.7
--
Maryland
52,191
53,659
53,826
--
2.8
0.3
--
Baltimore
51,886
53,835
54,009
6
3.8
0.3
14
Baltimore City
42,071
43,386
44,053
15
3.1
1.5
10
Massachusetts
54,235
56,713
57,248
--
4.6
0.9
--
Suffolk
55,608
57,491
57,660
6
3.4
0.3
14
Michigan
37,163
38,585
39,055
--
3.8
1.2
--
Minnesota
45,220
47,377
47,500
--
4.8
0.3
--
Mississippi
32,108
33,446
33,913
--
4.2
1.4
--
Missouri
38,016
39,933
40,663
--
5.0
1.8
--
Montana
36,890
39,142
39,366
--
6.1
0.6
--
Nebraska
43,721
45,914
47,157
--
5.0
2.7
--
Nevada
37,445
39,229
39,235
--
4.8
0.0
--
New Hampshire
47,664
50,056
51,013
--
5.0
1.9
--
New Jersey
53,323
54,932
55,386
--
3.0
0.8
--
Atlantic
41,397
42,288
42,425
19
2.2
0.3
18
Bergen
67,248
69,281
69,495
4
3.0
0.3
19
Burlington
49,471
51,149
51,638
12
3.4
1.0
12
Camden
44,229
45,063
45,544
15
1.9
1.1
9
Cape May
50,908
53,070
53,932
9
4.2
1.6
3
Cumberland
35,413
35,468
35,825
21
0.2
1.0
10
Essex
53,597
54,318
54,606
7
1.3
0.5
15
Gloucester
43,488
44,833
45,169
16
3.1
0.7
13
Hudson
49,111
49,978
50,172
13
1.8
0.4
17
Hunterdon
69,717
74,534
75,523
2
6.9
1.3
6
Mercer
53,037
55,933
56,906
6
5.5
1.7
2
Middlesex
50,267
51,730
52,291
11
2.9
1.1
7
Monmouth
59,875
61,997
62,901
5
3.5
1.5
4
Morris
71,914
74,826
75,054
3
4.0
0.3
20
Ocean
42,121
43,016
43,214
18
2.1
0.5
16
Passaic
43,853
44,600
44,688
17
1.7
0.2
21
Salem
41,138
41,550
41,997
20
1.0
1.1
8
Somerset
72,704
76,918
77,685
1
5.8
1.0
11
Sussex
50,800
52,592
52,958
10
3.5
0.7
14
Union
52,297
53,638
54,382
8
2.6
1.4
5
Warren
46,070
48,115
49,040
14
4.4
1.9
1
New York
51,941
54,099
54,462
--
4.2
0.7
--
Albany
50,275
52,587
53,515
7
4.6
1.8
16
Bronx
32,565
32,680
32,852
60
0.4
0.5
44
Dutchess
47,083
49,378
49,627
10
4.9
0.5
48
Erie
42,925
45,063
45,496
16
5.0
1.0
35
Essex
36,268
38,392
39,309
34
5.9
2.4
4
Kings
41,038
42,211
42,306
24
2.9
0.2
53
Nassau
68,979
72,460
72,549
3
5.0
0.1
58
New York
116,329
120,382
121,632
1
3.5
1.0
34
Putnam
55,844
58,865
58,955
4
5.4
0.2
56
Queens
43,140
44,431
44,966
19
3.0
1.2
27
Rensselaer
41,961
43,371
44,152
22
3.4
1.8
15
Richmond
49,839
51,223
51,328
9
2.8
0.2
55
Rockland
54,294
56,746
56,657
6
4.5
-0.2
60
Suffolk
53,774
56,819
56,940
5
5.7
0.2
54
Ulster
41,818
44,045
44,527
20
5.3
1.1
30
Westchester
75,291
80,505
80,363
2
6.9
-0.2
61
North Carolina
36,508
38,538
38,683
--
5.6
0.4
--
North Dakota
47,868
56,310
53,182
--
17.6
-5.6
--
Steele
55,909
81,029
53,918
16
44.9
-33.5
50
Ohio
38,631
40,230
41,049
--
4.1
2.0
--
Oklahoma
38,980
41,399
41,861
--
6.2
1.1
--
Oregon
37,707
39,258
39,848
--
4.1
1.5
--
Pennsylvania
43,806
45,577
46,202
--
4.0
1.4
--
Rhode Island
44,571
46,257
46,989
--
3.8
1.6
--
South Carolina
34,079
35,347
35,831
--
3.7
1.4
--
South Dakota
44,439
45,676
46,039
--
2.8
0.8
--
Tennessee
37,151
39,002
39,558
--
5.0
1.4
--
Texas
41,016
43,271
43,862
--
5.5
1.4
--
Utah
34,235
35,891
36,640
--
4.8
2.1
--
Vermont
42,968
44,443
45,483
--
3.4
2.3
--
Virginia
47,076
48,715
48,838
--
3.5
0.3
--
Washington
44,565
47,055
47,717
--
5.6
1.4
--
West Virginia
33,954
35,140
35,533
--
3.5
1.1
--
Wisconsin
40,780
42,475
43,244
--
4.2
1.8
--
Wyoming
49,260
52,469
52,826
--
6.5
0.7
--
1. Per capita personal income was computed using Census Bureau midyear population estimates. Estimates reflect county population estimates available as of March 2014.
2. Percent change was calculated from unrounded data.
Source: Bureau of Economic Analysis

The New York State counties are interesting. The average incomes confirm the reputation of Manhattan (New York County) as dwarfing neighboring county incomes. The next-highest skip over the "Outer Boroughs" and go to Westchester, Nassau, Putnam, Suffolk and Rockland counties in New York State and a similar group of high rollers in New Jersey. Westchester saw a big 6.9 percent leap in personal income in 2012, but it and Rockland both saw a small decline in per capita incomes in 2013.

Notice the oddly high variability of per capita income in Steele County, ND. A 45 percent increase in 2012 and a one-third decrease in 2013. However, the explanation is simple. The total population of the county is under 2,000 people, so a few families with highly correlated incomes - for example, all dependent upon revenue from the same oil well - could skew the county numbers.