Single entry in an Object.
More...
Inherits PolyBase.
|
|
| ObjectEntry () |
| | Default constructor.
|
| |
| bool | readNumber (String key, Number *out) |
| | Tries to write the Number value of this[key] to out. More...
|
| |
| bool | readInt (String key, int *out) |
| | Tries to write the int value of this[key] to out. More...
|
| |
| bool | readInt (String key, unsigned *out) |
| | Tries to write the int value of this[key] to out. More...
|
| |
| bool | readString (String key, String *out) |
| | Tries to write the String value of this[key] to out. More...
|
| |
| bool | readBool (String key, bool *out) |
| | Tries to write the boolean value of this[key] to out. More...
|
| |
| ObjectEntry * | addChild (const String &name) |
| | Adds an empty child entry. More...
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| |
| ObjectEntry * | addChild (const String &name, Number val) |
| | Adds an empty child entry with a number value. More...
|
| |
| ObjectEntry * | addChild (const String &name, int val) |
| | Adds an empty child entry with an integer value. More...
|
| |
| ObjectEntry * | addChild (const String &name, const String &val) |
| | Adds an empty child entry with a string value. More...
|
| |
| ObjectEntry * | addChild (const String &name, const char *val) |
| | Adds an empty child entry with a string value. More...
|
| |
| ObjectEntry * | addChild (const String &name, bool val) |
| | Adds an empty child entry with a boolean value. More...
|
| |
| ObjectEntry * | operator[] (int index) |
| | Accesses an object entry as an array by an integer lookup. More...
|
| |
| ObjectEntry * | operator[] (const String &key) |
| | Accesses an object entry by a string lookup and returns the corresponding object entry. More...
|
| |
Single entry in an Object.
Object entries can be accessed as dictionaries or arrays.
Adds an empty child entry.
- Parameters
-
| name | Lookup key for the object entry. |
- Returns
- The added object entry.
Adds an empty child entry with a number value.
- Parameters
-
| name | Lookup key for the object entry. |
| val | Number to set as value in the object entry. |
- Returns
- The added object entry.
Adds an empty child entry with an integer value.
- Parameters
-
| name | Lookup key for the object entry. |
| val | Integer to set as value in the object entry. |
- Returns
- The added object entry.
Adds an empty child entry with a string value.
- Parameters
-
| name | Lookup key for the object entry. |
| val | String to set as value in the object entry. |
- Returns
- The added object entry.
| ObjectEntry* Polycode::ObjectEntry::addChild |
( |
const String & |
name, |
|
|
const char * |
val |
|
) |
| |
|
inline |
Adds an empty child entry with a string value.
- Parameters
-
| name | Lookup key for the object entry. |
| val | String to set as value in the object entry. |
- Returns
- The added object entry.
Adds an empty child entry with a boolean value.
- Parameters
-
| name | Lookup key for the object entry. |
| val | Boolean to set as value in the object entry. |
- Returns
- The added object entry.
| ObjectEntry* Polycode::ObjectEntry::operator[] |
( |
int |
index | ) |
|
|
inline |
Accesses an object entry as an array by an integer lookup.
- Parameters
-
| index | Lookup index to return value for. |
- Returns
- Object entry corresponding to the lookup index or NULL if one doesn't exist.
Accesses an object entry by a string lookup and returns the corresponding object entry.
- Parameters
-
| key | Lookup key to return value for. |
- Returns
- Object entry corresponding to the string value or NULL if one doesn't exist.
| bool Polycode::ObjectEntry::readBool |
( |
String |
key, |
|
|
bool * |
out |
|
) |
| |
|
inline |
Tries to write the boolean value of this[key] to out.
- Parameters
-
| out | A pointer to the value to write the boolean value to. |
- Returns
- true if this[key] is a bool, false otherwise.
| bool Polycode::ObjectEntry::readInt |
( |
String |
key, |
|
|
int * |
out |
|
) |
| |
|
inline |
Tries to write the int value of this[key] to out.
- Parameters
-
| out | A pointer to the value to write the int value to. |
- Returns
- true if this[key] is an integer, false otherwise.
| bool Polycode::ObjectEntry::readInt |
( |
String |
key, |
|
|
unsigned * |
out |
|
) |
| |
|
inline |
Tries to write the int value of this[key] to out.
- Parameters
-
| out | A pointer to the value to write the int value to. |
- Returns
- true if this[key] is an integer, false otherwise.
| bool Polycode::ObjectEntry::readNumber |
( |
String |
key, |
|
|
Number * |
out |
|
) |
| |
|
inline |
Tries to write the Number value of this[key] to out.
- Parameters
-
| out | A pointer to the value to write the number value to. |
- Returns
- true if this[key] is a number, false otherwise.
| bool Polycode::ObjectEntry::readString |
( |
String |
key, |
|
|
String * |
out |
|
) |
| |
|
inline |
Tries to write the String value of this[key] to out.
- Parameters
-
| out | A pointer to the value to write the String value to. |
- Returns
- true if this[key] is a String, false otherwise.
| int Polycode::ObjectEntry::type |
Type of entry.
Possible values are (FLOAT_ENTRY, INT_ENTRY, BOOL_ENTRY, ARRAY_ENTRY, STRING_ENTRY, CONTAINER_ENTRY).


Employment
Deep technical understanding of Unity’s engine features and services to our customers and partners and comprise connecting with customers, discovering pain points and issues, and helping the Business Development team in closing business opportunities
Main works are enterprise technical support and professional services
Enterprise technical support
- Technical support, optimization and troubleshooting through customer inquiry(using zendesk)
- Major customers Netmarble,Com2us,Nexson,LGUplus
Professional services
1.Snow AR camera platform project
- Developed Android camera features using unity native plugins
2.KT Narle app project
- In order to optimize the customer’s app
developed to building a system to test the complexity of each screen (custom unity editor development)
https://unity3d.com/
These days I am working for NexPlayer SDK that can help customers to easily create a video player application for streaming on the various platforms. Our SDK support - HLS , DASH , Smooth Streaming On a variety of platforms.
Among a variety of platforms I have focused at Android and iOS platforms and technical support part for Korean customers( SBS Content hub , Zigbang, KT Telecom) using our 360 degrees player SDK .
Additionally I have some experiences about some application develpment projects across multiple platforms like a Android app and iOS app,Windows 10 UWP app
And not many times I have participated in development project about Media source , NACI with javascript , HTML5 in Nexstreaming.
http://www.nexstreaming.com/
I have worked about customer support for US and Europe customers using our player SDK (Android & iOS & Windows 10 parts) during three months in our branch office in Madrid, Spain.
http://www.nexstreaming.com/
I worked as an intern at daou software Institute , Mobile Development team. When I was working there ,
I made a prototype app about Remote Shot which is Android Camera app using Bluetooth Protocol.
http://www.daou.co.kr/index.php/en
I held on seminar about senchatoouch framework and how to apply senchatoouch theme with sass and css.
http://www.sqlgate.com/


--- title: "SockJS: WebSockets for Everyone" tags: [ruby, sockjs, websockets, web development] ---
WebSockets can make web development more enjoyable, decoupling easier and the code easier to understand. Unfortunately browsers not supporting WebSockets can't be easily ignored yet. SockJS is trying to solve this issue by providing fallback transports for browsers not supporting WebSockets.
SockJS is a cross domain solution and it's designed to work through restrictive corporate proxies. SockJS connection is established swiftly, unless there's a misbehaving proxy in the middle. This is one of the reasons why SockJS doesn't use Flash fallback, which often needs 3 seconds in order to detect problems.
On the client side you just have SockJS
object which you use exactly as you'd use the WebSocket
class:
<script src="http://cdn.sockjs.org/sockjs-0.2.1.min.js"></script>
<script>
var sock = new SockJS("http://mydomain.com/my_prefix");
// Events: onopen, onmessage, onclose.
sock.onmessage = function(e) {
console.log("message", e.data);
};
</script>
And on the server side you simply use SockJS
as a Rack middleware:
# Run one SockJS app on /echo.
use SockJS, "/echo" do |connection|
connection.subscribe do |session, message|
session.send(message)
end
end
# Your main app, anything else than /echo/*.
run MyMainApp.new
For more in-depth example see sockjs-ruby README.
At the moment only Thin is supported. That's because Rack itself is inherently synchronous and there's no standard API or convention for handling asynchronous stuff. Ruby 1.9.2 or higher is required. For details about dependencies and installation, check SockJS Ruby release announcement on the RabbitMQ blog.
SockJS isn't the first of its kind. Socket.io has been around for quite a while as you probably noticed. However there are some significant differences: firstly Socket.io is a Node.js framework, Ruby isn't supported1). Secondly Socket.io defines its own semantic, whereas SockJS is merely a fallback mechanism for WebSockets using WebSockets API. More about the motivation for writing SockJS as well as more detailed comparison with Socket.io can be found in article SockJS: Web Messaging Ain't Easy.
SockJS is intended to work for all modern browsers. In the schema below you can see which transport would be used for which browser:
Used transports as well as dealing with load balancing and proxies is thoroughly explained in article SockJS: WebSocket Emulation and on SockJS main page.
What are you waiting for? SockJS-ruby can be installed from RubyGems as usual:


health costs economic studies climate Health cost change European impacts adaptation Europe estimated Climate impact effects million study {border-style disease benefits measures px;} #ffffff;} Economic collab: value cases year United billion life Change Regional countries estimates World diseases estimate using However, Office air analysis deaths different evaluation mortality Adaptation Environment QALY Salmonella based evidence interventions present public saved water years Report US$ alternative assessment average change, change. cost-effectiveness excess future global net policy ratio response US$, additional annual case data death example, intervention lower model models provide px; results sector {font-family (€) Commission Europe. Global available avoided climate-sensitive damage font-size number premature presented review specific studies. terms used vaccination Assessment Europe, Kingdom Project Research Watkiss assess associated benefit–cost conducted control costs. cost–benefit countries. double; early food-borne greater include included investments potential rotavirus sectors (CSIRO) (NCAR) (€,) (€. Air Bank Copenhagen Costs Food Hutton Impacts Insights Organization Policy Region. action approaches avert border-color border-width compare cost, costs, deaths, economics efficiency estimation gained gains health, heat-waves human including increased lost marginal methods outcomes policies preventing project protection quality reduce reduced related resulting sanitation search solid; times use values vary {font-style {font-weight (–), (€,). Affairs Available Based ClimateCost Cost Cost-effectiveness DALY Danish Department Ebi Environ Environmental GH. Hence, IPCC Med National Technical Union Working annually annually. article attributed billion) bold central change: changes cold-related costing courier; deaths. decision developed diseases, em; evidence-base extreme fact food general grass heat-health identified important literature major measure methodological million) money morbidity national needed overall paper period positive prevention productivity program pt;} range reduction respiratory risk service significantly study, support time total treating types underlying unit vaccine valuation valued valuing vulnerability warning welfare work year.


The db.properties file located in <install_pack_dir>/databases/app_db contains the configuration settings for database access. This configuration is used for the initial setup and schema updates.
The Java class of the JDBC driver.
Default: org.postgresql.Driver
The database host.
Default: localhost
The database port.
Default: 5432
The name of the database.
Default: bssapp
The name of the user to connect to the database.
Default: bssuser
The password of the user to connect to the database.
Default: bssuser
The type of the database.
Default: postgresql


UnSplash Galleria is a web application powered by the Unsplash API allowing users to view pictures in bulk quickly. On each page, 30 pictures are loaded at a time with the ability to load more on request.
Most of the interaction on this website occurs in the navigation bar. The bar features the search icon, the logo, a random button and a link to UnSplash.
Clicking on the search toggles a search bar to appear or dissappear. Here you can type any keyword you would like to see pictures of. Clicking the close deletes the text typed and pressing enter searches the keyword. If you want to search more than one keyword, seperate by commas.
Clicking the logo, brings you back to this page
Clicking the random tab shows pictures from all catagories.
Clicking on any picture zooms it in and displays it full screen. Clicking the x at the top right closes the galler view. Clicking on the two arrow will cycle forwards or backwards depending on the direction. Zooming in and out is done through the two icons at the top right. When zoomed in, dragging the photo moves it around.
At the bottom of each page there is a Show More button. Clicking on this will load 30 more pictures.
Searching capabilities
Multi-keyword search
Random photo display
Endless stream of photos
Detailed view of photos
Gallery view
Zooming in
The website uses MaterializeCSS, LightGallery, JQuery and JQueryUI. The data is pulled from UnSplash


Hello to anyone who would bother to read this bio! Only a few weeks ago I was tanning under the beautiful sun in one of the most luxurious resorts of Russia; today I am attempting to advance in programming. It is a quite unexpected turn of events for me as naturally I am an absolutely anti-technology person. I am a strong believer that all of the current advancements in technology have led people to loneliness. Therefore, I am here today in order to get to know the enemy a bit closer. I am living a very busy and fulfilled life of a wife and mother of three kids. The last two kids came as a set of twins; you know what hardship is when you have two newborns screaming at your face; those were the moments when I questioned my every decision, my sanity, and the posibility that Elon Musk might be right - life is just a simulation, and someone just decided to punish my character. I meditate and stay outside for at least an hour every day for my sanity: rain or shine. I love high-end whiskey. I believe in karma. I speak three languages. I was born in a country that doesn't exist anymore, and escaped to Russia as a refugee when I was little, then escaped Russia to become an American when I was 21. Very few things scare me. For instance: not knowing how many people all at once can lose their ethics and hurt others. My ancestors went through genocide, and that scary question has been in my thoughts an endless number of times since I was little. It is an absolutely mortifying idea to ponder. Last fact: I am an absolute believer in the concepts of equality and equity. There has to be a balance in everything. Things outside of balance are wobbly.


Ray J’s Pregnant Wife, Princess Love, Leaves Nothing To The Imagination In Photo Shoot Where She Tries To Cover Up With Puffy Clouds — ‘Love & Hip Hop: Hollywood’ Fans Call Her The Prettiest Woman In The World
by Mel WalkerPrincess Love Norwood is almost nine months pregnant with her second baby, and she looks beyond stunning.
Ray J’s wife recently did a breathtaking photoshoot where she is wearing nothing but clouds to cover her private parts. Fans called Melody Norwood’s mom the prettiest woman in the world.
One person said this about the Love & Hip Hop: Hollywood star: “Gosh… She is extremely gorgeous!!! What a hottt tamale!!! Ray J lucky a/f!!!! Princess love, your a true beauty from God. Congrats on your new baby. That’s terrific you have had an easy pregnancy. God bless. 👏❤🔥❤😍😍😍”
Another commenter stated: “Love this❤❤❤ idea for my maternity shoot. The prettiest woman alive.😍😍😍”
This follower wrote: “You should think about doing a maternity line since you have fashion education and you love being pregnant and want a big family, miracles, and blessings lovely lady 😍😍❤❤❤”
According to recent rumors, singer and businessman Ray J was accused of cheating on his wife and mother of his child, Princess Love.
The Love & Hip Hop: Hollywood star was caught snuggling with another woman at colleague Drake’s birthday party.
Ray J reportedly was having quite a lovely time celebrating Drake’s birthday in L.A. and even if at first he was behaving innocently, he was soon flirting with an unknown girl at the party and also got her number.
Following what happened, a lot of people now believe it is not a pure coincidence that Ray J is not going to attend to his gig, as new information revealed that he backed out of his TB tour recently.
For many, the reality star will miss the opportunity to perform alongside fellows Immature, B5, Holiday, and Day 26 for their collaboration that was set to begin on the 2nd of November.
In an official press release, it became known that Ray J could devote more time to his wife in this special moment when he and Princess Love are expecting their second child — she is almost there.
The star shared the news about the newest member of his family himself when she posted a message on Instagram back in August. The excited father wrote in the caption, “Baby #2 on the way!,” on his personal page.
Ray J and Princess Love, who both starred on VH1’s Love & Hip Hop: Hollywood, married in August 2016 and welcomed their first child, daughter Melody in May 2018.
Their second child is expected in January 2020.


--- title: Now On CRAN adobeanalyticsr author: Ben R Woodard date: '2021-03-01' slug: now_on_cran_adobeanalyticsr categories: R tags: - package - rsitecatalyst - adobe analytics images: ['adobeanalyticsr_logo2.png'] authors: - benrwoodard ---
I’m super excited to announce that adobeanaltyicsr v0.1.5 is now available on CRAN! adobeanalyticsr is an R client for the new ‘Adobe Analytics’ API 2.0 and had a lot of great features that I believe will help data analysts do their jobs better.
The new adobeanalyticsr package was an open source project that started when Tim Wilson began exploring functions that would pull data using the new API 2.0. This API has already been making waves in the analytics industry since it’s introduction via the Analysis Workspace user interface a few years back.
I believe it is critical to thank Randy for the work he put in to creating and maintaining RSiteCatalyst. His development work on the old Adobe Analytics R package quite literally changed the way I did my job and the questions I could ask. I truly hope that adobeanalyticsr can continue the level of excellence that Randy instilled in RSiteCatalyst.
Here are a few of the features the new R package for Adobe Anaytics affords us as analysts over the old API:
Those three distinctions are just a few of the many benefits of using the new api. Now with the package being included in CRAN, everyone can easily begin using the new powerful API.
install.packages('adobeanalyticsr')
library(adobeanalyticsr)
While this is a great milestone that has been in the works for about a year and a half, it is just the beginning. Development work has already begun on the next itteration of the package. We are looking for more community feedback and would love to hear your thoughts on improvements and enhancements to the package. Checkout AdobeAnalyticsR.com for more information and a link to the github repo where you can submit issues and submit enhancments.


Here you will find some of the best films of our decade. Enjoy them!
This website is still in beta. More films comming soon!
The life, success and troubles of Wolfgang Amadeus Mozart, as told by Antonio Salieri, the contemporaneous composer who was insanely jealous of Mozart's talent and claimed to have murdered him.
The life of the lawyer who became the famed leader of the Indian revolts against the British rule through his philosophy of nonviolent protest.
Chris Taylor, a neophyte recruit in Vietnam, finds himself caught in a battle of wills between two sergeants, one good and the other evil. A shrewd examination of the brutality of war and the duality of man in conflict.
Selfish yuppie Charlie Babbitt's father left a fortune to his savant brother Raymond and a pittance to Charlie; they travel cross-country.
A filmmaker recalls his childhood when falling in love with the pictures at the cinema of his home village and forms a deep friendship with the cinema's projectionist.
The story of the final Emperor of China.
A troubled child summons the courage to help a friendly alien escape Earth and return to his home world.
In Medieval Japan, an elderly warlord retires, handing over his empire to his three sons. However, he vastly underestimates how the new-found power will corrupt them and cause them to turn on each other...and him.
Marty McFly, a 17-year-old high school student, is accidentally sent thirty years into the past in a time-traveling DeLorean invented by his close friend, the eccentric scientist Doc Brown.
Do you want more films on the list? Please suggest some (really, please, do it). You can suggest lists in the following form.


AppException
class AppException abstract
extends Error
Custom error type that contains properties for a code and localizable (I18n) message.
To extend, use the static AppException.type()
method, the base class cannot be instantiated.
Note: The instanceof
operator cannot be used with typed errors; compare the code
property of an error instance to the static code
property (or a known value) of an AppException
class, e.g. if (err.code === MyAppException.code) ...
.
Constructor
(..._data: any[]): AppException
.type() static
(code: string, message: string): { new (data?: string | number): AppException; code: string; }
Create an AppException
class that sets given code and message when instantiated. Given message is formatted using strf
when an error object is created, with constructor parameters passed through as values.
.code static
string
Known error code for all instances of this error; should be checked instead of using the instanceof
operator.


{% extends "layout.html" %} {% block page_title %} Resolve a dispute - your company details {% endblock %} {% block innercontent %}
(Login goes here)


Copyright (c) 1983 Craige Schensted
The game is played on a initial empty 5x10x6 hexagonal board.
|
| An example
The Black star has value 2 (it occupies 4 cells adjacent to the edge minus 2). For each White stone dropped at any cell [1], Black looses one potential point. Notice that cell [2] is not relevant, since it is not adjacent to the board edge. |
Mark Thompson says the following: This scoring system gives Star considerable depth. Since your score is related to the number of edge cells you occupy, but with two points deducted for each star, you have two competing goals: get territory on the edges, and link your stars together. And you will note that linking your own stars will usually prevent your opponent from linking his, and vice versa, so that careful judgments must be made all over the board. [...] Knowledgeable players have compared Star to Go; it could well be the greatest game invented in the twentieth century. Star was published in GAMES magazine (Sept. 1983), but when I first posted this page it seemed to have been sadly neglected since then.
You can also check Schensted's *Star webpage.


Week 11: Loan Calculator
JJ Jones
Loan Calculator
Amount borrowed (principal)
Annual interest rate (example: .065)
Number of years
Payment per year
Compute payment
Number of payments payed to date
Compute payoff amount


Sean Liao is a student and a software developer with an interest in network & security He has previously been a photographer, designer, sound engineer and lighting technician for live events.
Sean Liao is a student and a software developer with an interest in network & security He has previously been a photographer, designer, sound engineer and lighting technician for live events.


http://www.speakers-podium.com/susangranger.
Susan Granger's review of "DICK" (Columbia Pictures)
Who would have thought that two naive teenage girls could make the misadventures Richard Milhous Nixon into a political satire? But that's just what happens when Kirsten Dunst and Michelle Williams, two bubble-brained 15 year-olds, unknowingly cross paths with the Watergate burglars, watching G. Gordon Liddy's plumbers squad during their infamous break-in at Democratic National Headquarters. When Liddy (Harry Shearer) spots the duo the next day on a White House tour, as they accidentally stumble into a paper-shredding project, Tricky Dick (Dan Hedaya) steps in, appointing them as Official Dog Walkers and Youth Advisors. They wind up in the Oval Office, where they discover a tape recorder momentarily left unguarded by Presidential secretary Rose Mary Woods (Ana Gasteyer). What does one of our blithe heroines do with it? What any infatuated teeny-bopper would do: record herself singing an Olivia Newton-John ballad to the Commander-in-Chief. The kind-hearted girls argue foreign policy with Henry Kissinger (Saul Rubinek) and persuade the President to end the Vietnam War by feeding him spiked cookies. Then, of course, they tip off egomaniacal "Washington Post" reporters Bob Woodward (Will Ferrell) and Carl Bernstein (Bruce McCulloch), divulging the CREEP list which they find stuck to Liddy's shoe. Director Andrew Fleming, who co-wrote the script with Sherlyn Longin, cleverly mixes fact and fiction, evoking the giddy blonde bimbo movie tradition, setting it amidst a Presidential scandal, and punctuating it with '70s pop music. While it may resemble several "Saturday Night Live" skits edited together, nevertheless, on the Granger Movie Gauge of 1 to 10, "Dick" is a sly, sweet, screwball 7. It's corny but comical romp through revisionist history.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Hooray! Your web application is up and running!
Try out the fruits manager - add new fruits and edit existing ones using AngularJS and WebAPI.
Source code hosted at GitHub, created by Mateo Velenik


Last month's energy usage per household
Upload the csv file that you want to visualize
Choose the file
Data
Data that you upload


THE BIG ONE
A Film Review by James Berardinelli
RATING: **1/2 OUT OF ****
United States/United Kingdom, 1997 U.S. Release Date: 4/10/98 (limited) Running Length: 1:31 MPAA Classification: PG-13 (Profanity) Theatrical Aspect Ratio: 1.85:1
Featuring Michael Moore, Garrison Keillor, Rick Nielsen, Phil Knight, and others Director: Michael Moore Producers: Kathleen Glynn Screenplay: Michael Moore Cinematography: Brian Danitz and Chris Smith Music: World Famous Blue Jays U.S. Distributor: Miramax Films
The first misconception to correct about Michael Moore's THE BIG ONE is that it is a documentary. It's not – Moore doesn't make those. As was proven after the release of Moore's debut, ROGER & ME, the director uses real people, places, and circumstances, then stages events (see Harlan Jacobson's piece in the November/December 1989 FILM COMMENT for more details). Reality – a fragile commodity in any "fact-based" motion picture – takes a back seat to what will play well on a movie screen. As a result, it's best to consider Moore's films as entries into the ever-growing category of pseudo (or "meta") documentaries. Or, perhaps even more accurately, view it as an exercise in self-publicity.
Having said that, however, it's necessary for me to point out that Moore is a talented film maker who is capable of putting some very funny moments on screen. And, regardless of what methods were used to produce the movie, it still makes an extremely valid point about the way big business mistreats its workers, laying off people and transferring manufacturing to third-world countries rather than sacrificing a little profit. Having been "downsized" myself, I understand and share Moore's anger. With ROGER & ME and THE BIG ONE, he has become the motion picture industry's champion of the "little guy."
THE BIG ONE is a filmed diary of a book signing tour Moore embarked upon to promote his 1997 bestseller, DOWNSIZE THIS! From St. Louis to Milwaukee to Portland, he moves across the country, scrawling his autograph on the inside covers of books, visiting corporate headquarters in fruitless attempts to see CEOs, and doing bitingly funny standup acts at universities and during other public speaking engagements. Moore's theme, italicized through humor, is always the same: that corporate America, in bed with politicians, is raping the common man. It's all about greed. At various times, he calls the leaders of major companies "terrorists" and "murderers." And he has the evidence to back up the charges.
THE BIG ONE is a hit-and-miss affair. Some of the episodes detailing Moore's repeated failed tries to meet with CEOs (Leaf, Johnson Controls, Pillsbury, and Proctor & Gamble are all targets) become tiresome, and it's a little troubling how much grief he gives the average working guys who stop him (they are, after all, ordinary men and women trying to hold down a job – the kind of people Moore proclaims to be a voice for). Moore also has a tendency to dwell on the obvious, such as how corrupt and subservient to big business the political process has become.
On the other hand, THE BIG ONE also boasts some noteworthy scenes. One particularly disarming moment features a woman near to tears confessing to Moore that she has just been laid off. The film maker, apparently not expecting this, seems genuinely moved by her plight. On another occasion, Moore relates how Presidential candidate Pat Buchanan accepted a contribution from a group called the "Abortionists for Buchanan," how President Clinton took a check from the "Hemp Growers of America," and how Ross Perot felt compelled to reject $100 from the "Pedophiles for Free Trade." There's a revelation about how much nearly-free prison labor is employed by large corporations – the next time a telemarketer calls, it may actually be someone in a jail cell. Finally, there's a hilarious proposal about how to reduce the nation's drug problem.
The film's climax (inasmuch as a rambling pseudo-documentary can have a climax) features Moore's face-to-face meeting with Nike CEO Phil Knight. It's not a particularly satisfying encounter for either man. Moore doesn't press very hard on the tough questions and Knight comes across as more out-of-touch than genuinely malevolent. Like most of the rest of the film, this sequence gets the point across without offering much depth. As for the title, there's actually a little mystery about what THE BIG ONE refers to – as far as I can tell, it's either the United States of America or Michael Moore's ego.
Copyright 1998 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1400 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"My belief is that no movie, nothing in life, leaves people neutral.
-- David Puttnam
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1. Data controller and representative
Through its website (the “Website”) and its desktop applications and mobile applications (the “Application”), Wondershare implements the processing of personal data listed below. Michael Pohl<EMAIL_ADDRESS>is the designated representative of Wondershare in EU in accordance with the Regulation No. 2016/679 on the protection of natural persons with regard to the processing of personal data (the “GDPR”).
Please read carefully the following privacy policy which provides you, as the user of the Website and/or Application (the “User” or “You”), with the relevant information regarding the various processing of personal data implemented by Wondershare, in accordance with GDPR.
2. Data processing implemented by Wondershare
2.1 Processing of personal data related to your visit to our website and the purchase and use of our products
When the User visits to our Website, or purchases a Wondershare product through the Website or the Application, or use our products, Wondershare implements a processing of personal data as follows:
2.1.1 Personal data collected
Regarding this processing, Wondershare collects the following personal data through the collection forms in the ordering process or other processes.
- Name;
- Gender;
- Age;
- Email address;
- Address;
- Country;
- Postal code;
- Phone number;
- Company name and industry you work for;
- Order information, such as the products you purchase, date and amount of the order;
- Payment information such as Credit card information (type, number, expiration date, CVV security code)/debit card information or other payment/billing information.
- Information we get from your visit to our websites. We collect information about how you visit our websites (including the webpage that led you to a Wondershare website, the search terms entered into a search engine which led you to a Wondershare website);
- Information we get from your use of our products. We collect information about the products that you use and how you use them and your local device information, including but not limited to your device information, operating system, user name, your Wondershare ID, location, IP address, operating log information, crash reports and the information and format of the files you are working with(with your additional consent);
- your product serial number;
- Content of customer support communications.
2.1.2 Purpose and legal basis of the processing
Wondershare uses the information we collect about you for the following purposes:
In order for Wondershare to provide the User with the ordered product(s);
For the performance of a contract to which the User is party, in accordance with Article 6.1.b of the GDPR and the collected data are necessary in order for Wondershare to identify and bill the User and to charge its bank card number;
For Verifying your identity and Providing customer service or support;
Analyze your use of our websites and products to better understand how they are being used so we can improve our services and the user experience and engage and retain users.
2.1.3 Recipients of the personal data
We may also transmit your personal information with companies that help us to run our business by processing personal information on behalf of us for the purposes identified above. Such companies include providers of payment processing services, server services providers, data analysis services providers, fraud monitoring and prevention providers, email delivery service providers, social media, and other marketing platforms and service providers.
In addition, Wondershare may disclose the User’s personal data:
- if Wondershare is under a duty to disclose or share such personal data in order to comply with any legal obligation, or in order to protect the rights, property or safety of its business, its customers or others; and
- to successors in title or replacement operators of all or part of Wondershare’s respective businesses.
2.1.4 Transfer of personal data
The collected personal data may be transferred by Wondershare to recipients which are located outside the European Union and such destinations may not have laws which protect the User’s personal data to the same extent as in the European Union.
Wondershare ensures that the User’s personal data processed by Wondershare or by its suppliers and partners operating outside the European Union are treated securely and are protected against unauthorized access, loss or destruction, unlawful processing and any processing which is inconsistent with the purposes set out in this privacy policy.
Please find below the relevant information on transfer:
- Wondershare may transfer the collected information to third party payment processors to complete the charge process;
- Wondershare may transfer the collected information to providers of third party email delivery service to send promotion emails, or to other marketing platforms and service providers to complete relevant service;
- Wondershare may use third party track tools (such as Adwords, Bing, bugsplat, Criteo, disqus, fabric, Facebook, FireBase, Flurry, Google Analytics, Hotjar, LinkedIn, Pardot, Quora, JPUSH) to track the information on how users use the products and websites, such information will be stored in third party servers. Such third party track tools may send the data analysis report to Wondershare for Wondershare’s above mentioned purpose;
- Wondershare may store the collected information on the servers leased from providers of third party server service.
2.1.5 Duration of the storage
Wondershare will store the collected personal data for the duration of the contract and 60 days after the termination of the contract. Beyond this duration, in order for Wondershare to be able to demonstrate the existence of a right or a contract or a legal obligation, the relevant personal data will be stored through intermediary archives for a duration that will not exceed what is strictly necessary regarding the purpose of the storage and in accordance with the applicable legislation.
Regarding banking information, said information will be deleted once the payment has been processed and has become effective. Withdrawal time period could additionally apply. The number and the expiration date of the credit card number (not the CVV security code) could be stored through intermediary archives for evidence purposes in case of a claim regarding the payment, for the duration provided by Article L. 133-24 of the French Monetary and Financial Code (13 months or 15 months in case of deferred charge card).
2.2 Processing of personal data related to comments areas
When the User decides to comment a Wondershare product through the Website or the Application, Wondershare implements a processing of personal data as follows:
2.2.1 Personal data collected
Regarding this processing, Wondershare collects the following personal data:
- Email address;
- Name or nickname;
- profile photo;
- Other potential personal information provided by the User through its comment (age, location, etc.);
- The content of your comment.
2.2.2 Purpose and legal basis of the processing
This processing is implemented by Wondershare in order to improve its products and provide the consumers and potential consumers with a better and transparent information about the Wondershare products. Said comments and the related personal data are provided by the User on a voluntary basis so that the processing of the collected personal data relies on the User’s consent.
Wondershare may use the comments (with your relevant information) you post for marketing purpose in order for others to better understand and use our products.
2.2.3 Recipients of the personal data
Wondershare may transmit the collected personal data to third party email delivery service providers, social medias, other marketing platforms and service providers .
2.2.4 Transfer of personal data
The collected personal data are transferred by Wondershare to recipients which are located outside the European Union and such destinations may not have laws which protect the User’s personal data to the same extent as in the European Union.
Wondershare ensures that the User’s personal data processed by Wondershare or by its suppliers and partners operating outside the European Union are treated securely and are protected against unauthorized access, loss or destruction, unlawful processing and any processing which is inconsistent with the purposes set out in this privacy policy.
Please find below the relevant information on transfer:
- Wondershare may transfer the collected information to providers of third party email delivery service to send promotion emails, to other marketing platforms and service providers to complete relevant service.
- Wondershare may store the collected information on the servers leased from providers of third party server service.
2.2.5 Duration of the storage
Wondershare will store the collected personal data for not more than 5 years after the collection.
2.3 Processing of personal data related to newsletters and advertising emails
The User may want to subscribe to Wondershare’s newsletter in order to be provided with information and news regarding Wondershare products. In this case, Wondershare implements a processing of personal data as follows:
2.3.1 Personal data collected
Regarding this processing, Wondershare only collects your provided information such as the User’s email address, name or nickname, country, preferred product, and your operation to the promotion emails.
2.3.2 Purpose and legal basis of the processing
Wondershare implements the processing of personal data in order to provide consumers and potential consumers with information and news regarding Wondershare products.
The subscription to Wondershare’s newsletter and the related provision of personal data is made on a voluntary basis so that the processing of the collected personal data relies on the User’s consent.
2.3.3 Recipients of the personal data
Wondershare may transmit the collected personal data to providers of email delivery service and other service providers such as data analysis providers and server providers.
2.3.4 Transfer of personal data
The collected personal data are transferred by Wondershare to recipients which are located outside the European Union and such destinations may not have laws which protect the User’s personal data to the same extent as in the European Union.
Wondershare ensures that the User’s personal data processed by Wondershare or by its suppliers and partners operating outside the European Union are treated securely and are protected against unauthorized access, loss or destruction, unlawful processing and any processing which is inconsistent with the purposes set out in this privacy policy.
Please find below the relevant information on transfer:
- Wondershare may transfer the collected information to providers of email delivery service providers to send newsletters or promotion emails.
- Wondershare may store the collected information on the servers leased from providers of server service.
- Wondershare may use third party track tools(such as Google Analytics) to track the information on the user’s operation to the advertising emails, such information will be stored in third party servers. Such third party track tools may send the data analysis report to Wondershare for Wondershare’s above mentioned purpose.
2.3.5 Duration of the storage
Wondershare will store the collected personal data for 3 years from their collection or from the last contact from the User (whichever is later).
At the end of this 3 years time period, Wondershare may contact the User in order to know if the User wishes to keep receiving commercial information from Wondershare. In case Wondershare would not receive any positive and explicit answer from the User, the personal data would be deleted or archived in accordance with the applicable legislation.
2.4 Cookies and trackers
When the User consults the Website and/or the Application, Wondershare implements cookies and other trackers on the User’s device.
For additional information on cookies and trackers, please read Wondershare’s cookies policy
3. User’s rights
To the extent required by the law of your jurisdiction, you may have below rights. Before you exercise below rights, you may consult your legal counsel if the laws of your jurisdiction stipulate below rights.
| Rights | Content |
| The right to be informed | The User has the right to be provided with clear, transparent and easily understandable information about how Wondershare collects and uses personal data and its rights. This is the reason why Wondershare is providing the User with the information in this privacy policy. |
| The right of access | The User has the right to obtain access to its personal data (if Wondershare is processing it), and other certain information (similar to that provided in this privacy policy). |
| The right to rectification | The User is entitled to have its personal data corrected if it’s inaccurate or incomplete. |
| The right to erasure | This ‘the right to be forgotten’ enables the User to request the deletion or removal of its personal data where there’s no compelling reason for Wondershare to keep using it. This is not a general right to erasure; there are exceptions. |
| The right to restrict processing | Under certain circumstances, the User has the rights to ‘block’ or suppress further use of its personal data. |
| The right to data portability | The User has the rights to receive its personal data provided to Wondershare in a structured, commonly used and machine readable format and has the right to transmit those data to another controller. |
| The right to object to processing | The User has the right to object, on grounds relating to its particular situation, at any time, to the processing of its personal data. |
| The right to lodge a complaint | The User has the right to lodge a complaint about the way Wondershare handles or processes its personal data with its national supervisory authority (in France, the CNIL). |
| The right to withdraw consent | If the user has given its consent for a specific processing of its personal data implemented by Wondershare, the User has the right to withdraw its consent at any time. In case the User does so, it does not mean that anything Wondershare has done with the User’s personal data with its consent up to that point is unlawful). |
| The right to define instructions | The User has the right to define general or specific instructions regarding storage, deletion and use of its personal data after death. |
4. Revision of this Privacy Policy
Occasionally, we may change this privacy policy (or other documents related to privacy policy) to allow Wondershare to use or share your personal data in a different way. If we do, the links to the policy on our websites (which are generally found in the footer of the website) will indicate that the policy has been changed. For new users, the change will become effective upon posting. For existing users, if the change is significant, it will become effective 30 days after posting. We encourage you to periodically review the privacy policy for the latest information on our privacy practices.
5. Contacting Wondershare
If the User needs to contact Wondershare for any reason (including to exercise any of its rights in relation to data protection as set out above) please contact<EMAIL_ADDRESS>Wondershare will act on the User’s requests and provide information free of charge, except where the requests are manifestly unfounded or excessive (in particular because of their repetitive nature) in which case Wondershare may charge a reasonable fee (taking into account the administrative costs of providing the information or communication, or taking the action requested), or refuse to act on the request.


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flipBits()
- Method in class linkjvm.ardrone.video.
uint
flush()
- Method in class linkjvm.low.create.
Create
forward()
- Method in class linkjvm.ardrone.
ARDrone
forward(int)
- Method in class linkjvm.ardrone.
ARDrone
forward()
- Method in interface linkjvm.ardrone.
ARDroneInterface
forward(int)
- Method in interface linkjvm.ardrone.
ARDroneInterface
forward()
- Method in class linkjvm.ardrone.command.
CommandManager
forward(int)
- Method in class linkjvm.ardrone.command.
CommandManager
forward()
- Method in class linkjvm.low.motors.
Motor
forward()
- Method in class linkjvm.motors.
Motor
Turns the motor speed to full forward.
freeze()
- Method in class linkjvm.low.motors.
Motor
freeze()
- Method in class linkjvm.motors.
Motor
Prevents the current motor movement.
fromControlState(NavData.CtrlState)
- Static method in enum linkjvm.ardrone.navdata.javadrone.
NavData.FlyingState
fromInt(int)
- Static method in enum linkjvm.ardrone.navdata.javadrone.
NavData.CtrlState
fromInt(int)
- Static method in enum linkjvm.ardrone.navdata.javadrone.
VisionTag.VisionTagType
FullMode
- Static variable in class linkjvm.low.create.
Create.Mode
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|
Important
This document is not an official Census Bureau publication. It is compiled from publicly accessible information by Lars Vilhuber (Labor Dynamics Institute, Cornell University). Feedback is welcome. Please write us at<EMAIL_ADDRESS>|
1. Purpose
The public-use data from the Longitudinal Employer-Household Dynamics Program, including the Quarterly Workforce Indicators (QWI) and Job-to-Job Flows (J2J), are available for download with the following data schema. These data are available through the LEHD website’s Data page at http://lehd.ces.census.gov/data/ and through the LED Extraction Tool at http://ledextract.ces.census.gov/.
This document describes the data schema for LEHD files. LEHD-provided SHP files are separately described in lehd_shapefiles.html. For each variable, a set of allowable values is defined. Definitions are provided as CSV files, with header variable definitions. Changes relative to the original v4.0 version are listed at the end.
2. File naming
The naming conventions of the data files is documented in lehd_csv_naming.html.
3. Extends
This version reimplements some features from V4.0. Many files compliant with LEHD or QWI Schema v4.0 will also be compliant with this schema, but compatibility is not guaranteed.
4. Supersedes
This version supersedes V4.2.0, for files released as of R2018Q3.
5. Basic Schema
Each data file is structured as a CSV file. The first columns contain [identifiers], subsequent columns contain [indicators], followed by status flags. In some cases, visually formatted Excel (XLSX) files are also available, containing the same information together with header lines on each sheet.
5.1. Generic structure
| Column name |
|---|
[ Identifier1 ] |
[ Identifier2 ] |
[ Identifier3 ] |
[ … ] |
[ Indicator 1 ] |
[ Indicator 2 ] |
[ Indicator 3 ] |
[ … ] |
[ Status Flag 1 ] |
[ Status Flag 2 ] |
[ Status Flag 3 ] |
[ … ] |
Note: A full list of indicators for each type of file are shown below in the Indicators section. While all indicators are included in the CSV files, only the requested indicators will be included in data outputs from the LED Extraction Tool.
5.2. Identifiers
Records, unless otherwise noted, are parts of time-series data. Unique record identifiers are noted below, by file type. Identifiers without the year and quarter component can be considered a series identifier.
5.2.1. Mapping for Identifiers
Each of the released files has a set of variables uniquely identifying records ('Identifiers'). The table below relates the set of identifier specifications to the released files. The actual CSV files containing the identifiers for each set are listed after this table. Each identifier can take on a specified list of values, documented in the section on Categorical Variables.
| identifiers | QWI | NQWI | J2J | J2JR | J2JOD | LODES |
|---|---|---|---|---|---|---|
lehd_identifiers_qwi |
1 |
1 |
||||
lehd_identifiers_j2j |
1 |
1 |
||||
lehd_identifiers_j2jod |
1 |
5.2.2. Identifiers for j2j
| Variable | Type | label |
|---|---|---|
periodicity |
Char(1) |
Periodicity of report |
seasonadj |
Char(1) |
Seasonal Adjustment Indicator |
geo_level |
Char(1) |
Group: Geographic level of aggregation |
geography |
Char(8) |
Group: Geography code |
ind_level |
Char(1) |
Group: Industry level of aggregation |
industry |
Char(5) |
Group: Industry code |
ownercode |
Char(3) |
Group: Ownership group code |
sex |
Char(1) |
Group: Gender code |
agegrp |
Char(3) |
Group: Age group code (WIA) |
race |
Char(2) |
Group: race |
ethnicity |
Char(2) |
Group: ethnicity |
education |
Char(2) |
Group: education |
firmage |
Char(1) |
Group: Firm Age group |
firmsize |
Char(1) |
Group: Firm Size group |
year |
Num |
Time: Year |
quarter |
Num |
Time: Quarter |
agg_level |
Num |
Aggregation Level Indicator |
5.2.3. Identifiers for j2jod
| Variable | Type | label |
|---|---|---|
periodicity |
Char(1) |
Periodicity of report |
seasonadj |
Char(1) |
Seasonal Adjustment Indicator |
geo_level |
Char(1) |
Group: Geographic level of aggregation of destination job |
geography |
Char(8) |
Group: Geography code of destination job |
ind_level |
Char(1) |
Group: Industry level of aggregation of destination job |
industry |
Char(5) |
Group: Industry code of destination job |
ownercode |
Char(3) |
Group: Ownership group code of destination job |
sex |
Char(1) |
Group: Gender code |
agegrp |
Char(3) |
Group: Age group code (WIA) |
race |
Char(2) |
Group: race |
ethnicity |
Char(2) |
Group: ethnicity |
education |
Char(2) |
Group: education |
firmage |
Char(1) |
Group: Firm Age group |
firmsize |
Char(1) |
Group: Firm Size group |
year |
Num |
Time: Year |
quarter |
Num |
Time: Quarter |
agg_level |
Num |
Aggregation Level Indicator |
geo_level_orig |
Char(1) |
Group: Geographic level of aggregation of origin job |
geography_orig |
Char(8) |
Group: Geography code of origin job |
ind_level_orig |
Char(1) |
Group: Industry level of aggregation of origin job |
industry_orig |
Char(5) |
Group: Industry code of origin job |
ownercode_orig |
Char(3) |
Group: Ownership group code of origin job |
firmage_orig |
Char(1) |
Group: Firm Age group of origin job |
firmsize_orig |
Char(1) |
Group: Firm Size group of origin job |
5.2.4. Identifiers for qwi
| Variable | Type | label |
|---|---|---|
periodicity |
Char(1) |
Periodicity of report |
seasonadj |
Char(1) |
Seasonal Adjustment Indicator |
geo_level |
Char(1) |
Group: Geographic level of aggregation |
geography |
Char(8) |
Group: Geography code |
ind_level |
Char(1) |
Group: Industry level of aggregation |
industry |
Char(5) |
Group: Industry code |
ownercode |
Char(3) |
Group: Ownership group code |
sex |
Char(1) |
Group: Gender code |
agegrp |
Char(3) |
Group: Age group code (WIA) |
race |
Char(2) |
Group: race |
ethnicity |
Char(2) |
Group: ethnicity |
education |
Char(2) |
Group: education |
firmage |
Char(1) |
Group: Firm Age group |
firmsize |
Char(1) |
Group: Firm Size group |
year |
Num |
Time: Year |
quarter |
Num |
Time: Quarter |
5.3. Indicators
The following tables and associated mapping files list the indicators available on each file. The descriptor files themselves are structured as follows:
-
The ''Indicator Variable'' is the short name of the variable on the CSV files, suitable for machine processing in a wide variety of statistical applications.
-
When given, the ''Alternate name'' may appear in related documentation and articles.
-
The ''Status Flag'' is used to indicate publication or data quality status (see Status Flags).
-
The ''Indicator Name'' is a non-abbreviated version of the ''Indicator Variable''.
-
The ''Description'' provides more verbose description of the variable.
-
''Units'' identify the type of variable according to a very simplified taxonomoy (not formalized yet): counts, rates, monetary amounts.
-
''Concept'' classifies the variables into higher-level concepts. The taxonomy for these concepts has not been finalized yet, see label_concept_draft.csv for a draft version.
-
The ''Base'' indicates the denominator used to compute the statistic, and may be '1'.
5.3.1. National QWI and state-level QWI (QWIPU)
| Indicator Variable | Alternate Name | Status Flag | Indicator Name | Description | Units | Concept | Base |
|---|---|---|---|---|---|---|---|
Emp |
B |
sEmp |
Beginning-of-Quarter Employment |
Estimate of the total number of jobs on the first day of the reference quarter |
Count |
Employment |
1 |
EmpEnd |
E |
sEmpEnd |
End-of-Quarter Employment |
Estimate of the number of jobs on the last day of the quarter |
Count |
Employment |
1 |
EmpS |
F |
sEmpS |
Full-Quarter Employment (Stable) |
Estimate of stable jobs - the number of jobs that are held on both the first and last day of the quarter with the same employer |
Count |
Employment |
1 |
EmpTotal |
M |
sEmpTotal |
Employment - Reference Quarter |
Estimated count of people employed in a firm at any time during the quarter |
Count |
Employment |
1 |
EmpSpv |
Fpv |
sEmpSpv |
Full-Quarter Employment in the Previous Quarter |
Estimate of stable jobs in the quarter before the reference quarter |
Count |
Employment |
1 |
HirA |
A |
sHirA |
Hires (All Accessions) |
Estimated number of workers who started a new job in the specified quarter |
Count |
Hire |
1 |
HirN |
H |
sHirN |
New Hires |
Estimated number of workers who started a new job excluding recall hires |
Count |
Hire |
1 |
HirR |
R |
sHirR |
Recall Hires |
Estimated number of workers who returned to the same employer where they had worked within the previous year |
Count |
Hire |
1 |
Sep |
S |
sSep |
Separations (All) |
Estimated number of workers whose job with a given employer ended in the specified quarter |
Count |
Separation |
1 |
HirAEnd |
CA |
sHirAEnd |
End-of-Quarter Hires |
Estimated number of workers who started a new job in the specified quarter, which continued into next quarter |
Count |
Hire |
1 |
SepBeg |
CS |
sSepBeg |
Beginning-of-Quarter Separations |
Estimated number of workers whose job in the previous quarter continued and ended in the given quarter |
Count |
Separation |
1 |
HirAEndRepl |
EI |
sHirAEndRepl |
Replacement Hires |
Hires into continuous quarter employment in excess of job creation |
Count |
Hire |
1 |
HirAEndR |
CAR |
sHirAEndR |
End-of-Quarter Hiring Rate |
Hires as a percent of average employment |
Rate |
Hire |
(Emp + EmpEnd)/2 |
SepBegR |
CSR |
sSepBegR |
Beginning-of-Quarter Separation Rate |
Separations as a percent of average employment |
Rate |
Separation |
(Emp + EmpEnd)/2 |
HirAEndReplR |
EIR |
sHirAEndReplR |
Replacement Hiring Rate |
Replacement hires as a percent of the average of beginning- and end-of-quarter employment |
Rate |
Hire |
(Emp + EmpEnd)/2 |
HirAS |
FA |
sHirAS |
Hires (All Hires into Full-Quarter Employment) |
Estimated number of workers that started a job that lasted at least one full quarter with a given employer |
Count |
Hire |
1 |
HirNS |
FH |
sHirNS |
New Hires (New Hires into Full-Quarter Employment) |
Estimated number of workers who started a job that they had not held within the past year and the job turned into a job that lasted at least a full quarter with a given employer |
Count |
Hire |
1 |
SepS |
FS |
sSepS |
Separations (Flows out of Full-Quarter Employment) |
Estimated number of workers who had a job for at least a full quarter and then the job ended |
Count |
Separation |
1 |
SepSnx |
FSnx |
sSepSnx |
Separations in the Next Quarter (Flows out of Full-Quarter Employment) |
Estimated number of workers in the next quarter who had a job for at least a full quarter and then the job ended |
Count |
Separation |
1 |
TurnOvrS |
FT |
sTurnOvrS |
Turnover (Stable) |
The rate at which stable jobs begin and end |
Rate |
Turnover |
2*EmpS |
FrmJbGn |
JC |
sFrmJbGn |
Firm Job Gains (Job Creation) |
Estimated number of jobs gained at firms throughout the quarter |
Count |
Job Flows |
1 |
FrmJbLs |
JD |
sFrmJbLs |
Firm Job Loss (Job Destruction) |
Estimated number of jobs lost at firms throughout the quarter |
Count |
Job Flows |
1 |
FrmJbC |
JF |
sFrmJbC |
Firm Job Change (Net Change) |
Difference between firm job gain and firm job loss |
Count |
Job Flows |
1 |
FrmJbGnS |
FJC |
sFrmJbGnS |
Firm Job Gains (Stable) |
Estimated number of full-quarter jobs gained at firms |
Count |
Job Flows |
1 |
FrmJbLsS |
FJD |
sFrmJbLsS |
Firm Job Loss (Stable) |
Estimated number of full-quarter jobs lost at firms |
Count |
Job Flows |
1 |
FrmJbCS |
FJF |
sFrmJbCS |
Firm Job Change (Stable; Net Change) |
Net growth in jobs that last a full quarter |
Count |
Job Flows |
1 |
EarnS |
ZW3 |
sEarnS |
Average Monthly Earnings (Full-Quarter Employment) |
Average monthly earnings of employees with stable jobs |
Dollars |
Earnings |
EmpS |
EarnBeg |
ZW2B |
sEarnBeg |
Average Monthly Earnings (Beginning-of-Quarter Employment) |
Average monthly earnings of employees who worked on the first day of the reference quarter |
Dollars |
Earnings |
Emp |
EarnHirAS |
ZWFA |
sEarnHirAS |
Average Monthly Earnings (All Hires into Full-Quarter Employment) |
Average monthly earnings for workers who started a job that turned into a job lasting a full quarter |
Dollars |
Earnings |
HirAS |
EarnHirNS |
ZWFH |
sEarnHirNS |
Average Monthly Earnings (New Hires into Full-Quarter Employment) |
Average monthly earnings of newly stable employees |
Dollars |
Earnings |
HirNS |
EarnSepS |
ZWFS |
sEarnSepS |
Average Monthly Earnings (Flows out of Full-Quarter Employment) |
Average monthly earnings of separations from full-quarter status at an establishment |
Dollars |
Earnings |
SepSnx |
Payroll |
W1 |
sPayroll |
Total Quarterly Payroll |
Total quarterly payroll for all jobs |
Dollars |
Earnings |
1 |
5.3.2. National QWI and state-level QWI rates (QWIPUR)
Rates are computed from published data, and are provided as a convenience.
| Indicator Variable | Alternate Name | Status Flag | Indicator Name | Description | Units | Concept | Base |
|---|---|---|---|---|---|---|---|
HirAR |
AR |
sHirAR |
Hiring Rate (All Accessions) |
All accessions as a percent of average employment |
Rate |
Hire |
(Emp + EmpEnd)/2 |
HirNR |
HR |
sHirNR |
New Hiring Rate |
New hires as a percent of average employment |
Rate |
Hire |
(Emp + EmpEnd)/2 |
HirRR |
RR |
sHirRR |
Recall Rate |
Recall hires as a percent of average employment |
Rate |
Hire |
(Emp + EmpEnd)/2 |
SepR |
SR |
sSepR |
Separation Rate (All Separations) |
All separations as a percent of average employment |
Rate |
Separation |
(Emp + EmpEnd)/2 |
HirAEndR |
CAR |
sHirAEndR |
End-of-Quarter Hiring Rate |
Hires as a percent of average employment |
Rate |
Hire |
(Emp + EmpEnd)/2 |
SepBegR |
CSR |
sSepBegR |
Beginning-of-Quarter Separation Rate |
Separations as a percent of average employment |
Rate |
Separation |
(Emp + EmpEnd)/2 |
HirAEndReplR |
EIR |
sHirAEndReplR |
Replacement Hiring Rate |
Replacement hires as a percent of average employment |
Rate |
Hire |
(Emp + EmpEnd)/2 |
HirASR |
FAR |
sHirASR |
Hiring Rate (Flows into Full-Quarter Employment) |
Flows into stable employment as a percent of average stable employment |
Rate |
Hire |
(EmpSpv + EmpS)/2 |
HirNSR |
FHR |
sHirNSR |
New Hiring Rate (New Hires to Full-Quarter Status) |
New hires into stable employment as a percent of average stable employment |
Rate |
Hire |
(EmpSpv + EmpS)/2 |
SepSR |
FSR |
sSepSR |
Separation Rate (Flows out of Full-Quarter Employment) |
Flows out of stable employment as a percent of average stable employment |
Rate |
Separation |
(EmpSpv + EmpS)/2 |
SepSnxR |
FSnxR |
sSepSnxR |
Separation Rate in the Next Quarter (Flow out of Full-Quarter Employment) |
Flow rate out of stable employment in the next quarter |
Rate |
Separation |
(EmpSpv + EmpS)/2 |
TurnOvrSR |
FTR |
sTurnOvrSR |
Turnover Rate (Stable) |
The rate at which stable jobs begin and end |
Rate |
Turnover |
2*EmpS |
FrmJbGnR |
JCR |
sFrmJbGnR |
Firm Job Gain Rate (Job Creation Rate) |
Estimated number of jobs gained at firms throughout the quarter as a percent of average employment |
Rate |
Job Flows |
(Emp + EmpEnd)/2 |
FrmJbLsR |
JDR |
sFrmJbLsR |
Firm Job Loss Rate (Job Destruction Rate) |
Estimated number of jobs lost at firms throughout the quarter as a percent of average employment |
Rate |
Job Flows |
(Emp + EmpEnd)/2 |
FrmJbCR |
JFR |
sFrmJbCR |
Firm Job Change Rate (Net Change Rate) |
Difference between firm job gain and firm job loss as a percent of average employment |
Rate |
Job Flows |
(Emp + EmpEnd)/2 |
FrmJbGnSR |
FJCR |
sFrmJbGnSR |
Firm Job Gain Rate (Stable) |
Estimated number of full-quarter jobs gained at firms as a percent of average stable employment |
Rate |
Job Flows |
(EmpSpv + EmpS)/2 |
FrmJbLsSR |
FJDR |
sFrmJbLsSR |
Firm Job Loss Rate (Stable) |
Estimated number of full-quarter jobs lost at firms as a percent of average stable employment |
Rate |
Job Flows |
(EmpSpv + EmpS)/2 |
FrmJbCSR |
FJFR |
sFrmJbCSR |
Firm Job Change Rate (Stable; Net Change Rate) |
Net growth in jobs that last a full quarter as a percent of average stable employment |
Rate |
Job Flows |
(EmpSpv + EmpS)/2 |
5.3.3. Job-to-job flow counts (J2J)
| Indicator Variable | Alternate Name | Status Flag | Indicator Name | Description | Units | Concept | Base |
|---|---|---|---|---|---|---|---|
MHire |
all_doma2 |
sMHire |
Hires |
Hires into a worker’s main job |
Count |
Hire |
1 |
MSep |
all_doms2 |
sMSep |
Separations |
Separations from a worker’s main job |
Count |
Separation |
1 |
MJobStart |
first_dome |
sMJobStart |
Main Job Starts |
New main jobs due to hires and instances when a previously existing secondary job becomes the main source of earnings |
Count |
Hire |
1 |
MJobEnd |
last_domb |
sMJobEnd |
Main Job Ends |
End of main jobs due to separations and instances when another job becomes the main source of earnings |
Count |
Separation |
1 |
EEHire |
ee_doma2 |
sEEHire |
Job-to-Job Hires (Continuous Employment) |
Hires following a separation with no observed nonemployment spell |
Count |
Hire |
1 |
EESep |
ee_doms2 |
sEESep |
Job-to-Job Separations (Continuous Employment) |
Separations followed by a hire with no observed nonemployment spell |
Count |
Separation |
1 |
AQHire |
aq_doma2 |
sAQHire |
Job-to-Job Hires (Brief Nonemployment) |
Hires following a separation with a short nonemployment spell |
Count |
Hire |
1 |
AQSep |
aq_doms2 |
sAQSep |
Job-to-Job Separations (Brief Nonemployment) |
Separations followed by a hire with a short nonemployment spell |
Count |
Separation |
1 |
J2JHire |
j2j_doma2 |
sJ2JHire |
Job-to-Job Hires |
Hires following a separation (short or no observed nonemployment spell) |
Count |
Hire |
1 |
J2JSep |
j2j_doms2 |
sJ2JSep |
Job-to-Job Separations |
Separations followed by a hire (short or no observed nonemployment spell) |
Count |
Separation |
1 |
NEHire |
ne_doma2 |
sNEHire |
Hires from Nonemployment |
Hires following any spell of nonemployment |
Count |
Hire |
1 |
ENSep |
en_doms2 |
sENSep |
Separations to Nonemployment |
Separations into any spell of nonemployment |
Count |
Separation |
1 |
NEPersist |
ne2_doma2 |
sNEPersist |
Hires from Persistent Nonemployment |
Hires following a spell of persistent nonemployment |
Count |
Hire |
1 |
ENPersist |
en2_doms2 |
sENPersist |
Separations to Persistent Nonemployment |
Separations into a spell of persistent nonemployment |
Count |
Separation |
1 |
NEFullQ |
ne2p_doma2 |
sNEFullQ |
Hires from Full-Quarter Nonemployment |
Hires following a spell of full-quarter nonemployment (does not include intermittently employed) |
Count |
Hire |
1 |
ENFullQ |
en2p_doms2 |
sENFullQ |
Separations to Full-Quarter Nonemployment |
Separations into a spell of full-quarter nonemployment (does not include intermittently employed) |
Count |
Separation |
1 |
MainB |
domB |
sMainB |
Employment (Beginning of Quarter) |
Main jobs held on the first day of the quarter |
Count |
Employment |
1 |
MainE |
domE |
sMainE |
Employment (End of Quarter) |
Main jobs held on the last day of the quarter |
Count |
Employment |
1 |
EESepS |
fee_doms2 |
sEESepS |
Stable Job-to-Job Separations (Continuous Employment) |
Separations from stable employment followed by a hire to stable employment with no observed nonemployment spell |
Count |
Separation |
1 |
EEHireS |
fee_doma2 |
sEEHireS |
Stable Job-to-Job Hires (Continuous Employment) |
Hires to stable employment following a separation from stable employment with no observed nonemployment spell |
Count |
Hire |
1 |
AQSepS |
faq_doms2 |
sAQSepS |
Stable Job-to-Job Separations (Brief Nonemployment) |
Separations from stable employment followed by a hire to stable employment with a short nonemployment spell |
Count |
Separation |
1 |
AQHireS |
faq_doma2 |
sAQHireS |
Stable Job-to-Job Hires (Brief Nonemployment) |
Hires to stable employment following a separation from stable employment with a short nonemployment spell |
Count |
Hire |
1 |
NEPersistS |
fne2_doma2 |
sNEPersistS |
Stable Hires from Persistent Nonemployment |
Hires to stable employment following a spell of persistent nonemployment |
Count |
Hire |
1 |
ENPersistS |
fen2_doms2 |
sENPersistS |
Stable Separations to Persistent Nonemployment |
Separations from stable employment into a spell of persistent nonemployment |
Count |
Separation |
1 |
JobStayS |
f4dombe |
sJobStayS |
Stable Job Stayer |
Stable main jobs that did not change during the reference quarter |
Count |
Employment |
1 |
MainBS |
fdomb |
sMainBS |
Stable Employment (Beginning of Quarter) |
Stable main jobs held on the first day of the quarter |
Count |
Employment |
1 |
MainES |
fdome |
sMainES |
Stable Employment (End of Quarter) |
Stable main jobs held on the last day of the quarter |
Count |
Employment |
1 |
NEHireSEarn_Dest |
fne2_doma2_kfqearn |
sNEHireSEarn_Dest |
Average Earnings following Stable Hires from Persistent Nonemployment |
Average quarterly earnings following hires to stable employment from a spell of persistent nonemployment |
Dollars |
Earnings |
NEPersistS |
ENSepSEarn_Orig |
fen2_doms2_jfqearn |
sENSepSEarn_Orig |
Average Earnings prior to Stable Separations to Persistent Nonemployment |
Average quarterly earnings prior to separations from stable employment into a spell of persistent nonemployment |
Dollars |
Earnings |
ENPersistS |
JobStaySEarn_Orig |
f4dombe_jfqearn |
sJobStaySEarn_Orig |
Average Earnings prior to Stable Job Stayer |
Average quarterly earnings in the previous quarter when workers stayed in a stable job |
Dollars |
Earnings |
JobStayS |
JobStaySEarn_Dest |
f4dombe_kfqearn |
sJobStaySEarn_Dest |
Average Earnings following Stable Job Stayer |
Average quarterly earnings in the quarter when workers stayed in a stable job |
Dollars |
Earnings |
JobStayS |
5.3.4. Job-to-job flow rates (J2JR)
Rates are computed from published data, and are provided as a convenience.
| Indicator Variable | Alternate Name | Status Flag | Indicator Name | Description | Units | Concept | Base |
|---|---|---|---|---|---|---|---|
MHireR |
all_doma2_rate |
sMHireR |
Hires |
Rate of hires into a worker’s main job |
Rate |
Hire |
((MainB+MainE)/2) |
MSepR |
all_doms2_rate |
sMSepR |
Separations |
Rate of separations from a worker’s main job |
Rate |
Separation |
((MainB+MainE)/2) |
MJobStartR |
first_dome_rate |
sMJobStartR |
Main Job Starts |
Rate of new main jobs due to hires and instances when a previously existing secondary job becomes the main source of earnings |
Rate |
Hire |
((MainB+MainE)/2) |
MJobEndR |
last_domb_rate |
sMJobEndR |
Main Job Ends |
Rate of end of main jobs due to separations and instances when another job becomes the main source of earnings |
Rate |
Separation |
((MainB+MainE)/2) |
EEHireR |
ee_doma2_rate |
sEEHireR |
Job-to-Job Hires (Continuous Employment) |
Rate of hires following a separation with no observed nonemployment spell |
Rate |
Hire |
((MainB+MainE)/2) |
EESepR |
ee_doms2_rate |
sEESepR |
Job-to-Job Separations (Continuous Employment) |
Rate of separations followed by a hire with no observed nonemployment spell |
Rate |
Separation |
((MainB+MainE)/2) |
AQHireR |
aq_doma2_rate |
sAQHireR |
Job-to-Job Hires (Brief Nonemployment) |
Rate of hires following a separation with a short nonemployment spell |
Rate |
Hire |
((MainB+MainE)/2) |
AQSepR |
aq_doms2_rate |
sAQSepR |
Job-to-Job Separations (Brief Nonemployment) |
Rate of separations followed by a hire with a short nonemployment spell |
Rate |
Separation |
((MainB+MainE)/2) |
J2JHireR |
j2j_doma2_rate |
sJ2JHireR |
Job-to-Job Hires |
Rate of hires following a separation (short or no observed nonemployment spell) |
Rate |
Hire |
((MainB+MainE)/2) |
J2JSepR |
j2j_doms2_rate |
sJ2JSepR |
Job-to-Job Separations |
Rate of separations followed by a hire (short or no observed nonemployment spell) |
Rate |
Separation |
((MainB+MainE)/2) |
NEHireR |
ne_doma2_rate |
sNEHireR |
Hires from Nonemployment |
Rate of hires following any spell of nonemployment |
Rate |
Hire |
((MainB+MainE)/2) |
ENSepR |
en_doms2_rate |
sENSepR |
Separations to Nonemployment |
Rate of separations into any spell of nonemployment |
Rate |
Separation |
((MainB+MainE)/2) |
NEPersistR |
ne2_doma2_rate |
sNEPersistR |
Hires from Persistent Nonemployment |
Rate of hires following a spell of persistent nonemployment |
Rate |
Hire |
((MainB+MainE)/2) |
ENPersistR |
en2_doms2_rate |
sENPersistR |
Separations to Persistent Nonemployment |
Rate of separations into a spell of persistent nonemployment |
Rate |
Separation |
((MainB+MainE)/2) |
NEFullQR |
ne2p_doma2_rate |
sNEFullQR |
Hires from Full-Quarter Nonemployment |
Rate of hires following a spell of full-quarter nonemployment (does not include intermittently employed) |
Rate |
Hire |
((MainB+MainE)/2) |
ENFullQR |
en2p_doms2_rate |
sENFullQR |
Separations to Full-Quarter Nonemployment |
Rate of separations into a spell of full-quarter nonemployment (does not include intermittently employed) |
Rate |
Separation |
((MainB+MainE)/2) |
5.3.5. Job-to-job flow Origin-Destination (J2JOD)
| Indicator Variable | Alternate Name | Status Flag | Indicator Name | Description | Units | Concept | Base |
|---|---|---|---|---|---|---|---|
EE |
ee_doma2 |
sEE |
Job-to-Job Flows (Continuous Employment) |
Job flows with no observed nonemployment spell |
Count |
Hire |
1 |
AQHire |
aq_doma2 |
sAQHire |
Job-to-Job Flows (Brief Nonemployment) |
Job flows with a short nonemployment spell |
Count |
Hire |
1 |
EES |
fee_doma2 |
sEES |
Stable Job-to-Job Flows (Continuous Employment) |
Job flows from stable employment into stable employment with no observed nonemployment spell |
Count |
Hire |
1 |
AQHireS |
faq_doma2 |
sAQHireS |
Stable Job-to-Job Flows (Brief Nonemployment) |
Job flows from stable employment into stable employment with a short nonemployment spell |
Count |
Hire |
1 |
EESEarn_Orig |
fee_doma2_jfqearn |
sEESEarn_Orig |
Average Earnings prior to Job-to-Job Flows (Continuous Employment) |
Average quarterly earnings prior to job flows with no observed nonemployment spell |
Dollars |
Earnings |
EES |
EESEarn_Dest |
fee_doma2_kfqearn |
sEESEarn_Dest |
Average Earnings following Job-to-Job Flows (Continuous Employment) |
Average quarterly earnings following job flows with no observed nonemployment spell |
Dollars |
Earnings |
EES |
AQHireSEarn_Orig |
faq_doma2_jfqearn |
sAQHireSEarn_Orig |
Average Earnings prior to Job-to-Job Flows (Brief Nonemployment) |
Average quarterly earnings prior to job flows with a short nonemployment spell |
Dollars |
Earnings |
AQHireS |
AQHireSEarn_Dest |
faq_doma2_kfqearn |
sAQHireSEarn_Dest |
Average Earnings following Job-to-Job Flows (Brief Nonemployment) |
Average quarterly earnings following job flows with a short nonemployment spell |
Dollars |
Earnings |
AQHireS |
5.4. Variability measures
The following tables and associated mapping files list the variability measures available on each file. The ''Variability Measure'' is the short name of the variable on the CSV files, suitable for machine processing in a wide variety of statistical applications. When given, the ''Alternate Name'' may appear in related documentation and articles. The ''Variable Name'' is a more verbose description of the variability measure.
Six variability measures are published:
-
Total variability, prefixed by vt_
-
Standard error, prefixed by st_, and computed as the square root of Total Variability
-
Between-implicate variability, prefixed by vb_
-
Average within-implicate variability, prefixed by vw_
-
Degrees of freedom, prefixed by df_
-
Missingness ratio, prefixed by mr_
A missing variability measure indicates a structural zero in the corresponding indicator. This is currently not associated with a flag.
5.4.1. Generic structure
| Column name |
|---|
[ Identifier1 ] |
[ Identifier2 ] |
[ Identifier3 ] |
[ … ] |
[ Standard error for Indicator 1 ] |
[ Standard error for Indicator 2 ] |
[ Standard error for Indicator 3 ] |
[ … ] |
[ Total variation for Indicator 1 ] |
[ Total variation for Indicator 2 ] |
[ Total variation for Indicator 3 ] |
[ … ] |
[ Between-implicate variability for Indicator 1 ] |
[ Between-implicate variability for Indicator 2 ] |
[ Between-implicate variability for Indicator 3 ] |
[ … ] |
[ Average within-implicate variability for Indicator 1 ] |
[ Average within-implicate variability for Indicator 2 ] |
[ Average within-implicate variability for Indicator 3 ] |
[ … ] |
[ Degrees of freedom for Indicator 1 ] |
[ Degrees of freedom for Indicator 2 ] |
[ Degrees of freedom for Indicator 3 ] |
[ … ] |
[ Missingness ratio for Indicator 1 ] |
[ Missingness ratio for Indicator 2 ] |
[ Missingness ratio for Indicator 3 ] |
[ … ] |
Note: A full list of indicators for each type of file are shown in the Indicators section. In the tables below, only a sample of variability measures are printed, but the complete list is available in the linked CSV schema files.
5.4.2. National QWI and state-level QWI
| Variability measure | Alternate name | Variable name | Units | Base |
|---|---|---|---|---|
st_Emp |
st_B |
Standard error of Beginning-of-Quarter Employment |
Count |
1 |
st_EmpEnd |
st_E |
Standard error of End-of-Quarter Employment |
Count |
1 |
st_EmpS |
st_F |
Standard error of Full-Quarter Employment (Stable) |
Count |
1 |
… |
||||
vt_Emp |
vt_B |
Total variation of Beginning-of-Quarter Employment |
Count |
1 |
vt_EmpEnd |
vt_E |
Total variation of End-of-Quarter Employment |
Count |
1 |
vt_EmpS |
vt_F |
Total variation of Full-Quarter Employment (Stable) |
Count |
1 |
… |
||||
vb_Emp |
vb_B |
Between-implicate variability for Beginning-of-Quarter Employment |
Count |
1 |
vb_EmpEnd |
vb_E |
Between-implicate variability for End-of-Quarter Employment |
Count |
1 |
vb_EmpS |
vb_F |
Between-implicate variability for Full-Quarter Employment (Stable) |
Count |
1 |
… |
||||
… |
||||
df_Emp |
df_B |
Degrees of freedom for VT of Beginning-of-Quarter Employment |
Count |
1 |
df_EmpEnd |
df_E |
Degrees of freedom for VT of End-of-Quarter Employment |
Count |
1 |
df_EmpS |
df_F |
Degrees of freedom for VT of Full-Quarter Employment (Stable) |
Count |
1 |
… |
||||
mr_Emp |
mr_B |
Missingness ratio for Beginning-of-Quarter Employment |
Count |
1 |
mr_EmpEnd |
mr_E |
Missingness ratio for End-of-Quarter Employment |
Count |
1 |
mr_EmpS |
mr_F |
Missingness ratio for Full-Quarter Employment (Stable) |
Count |
1 |
5.4.3. National QWI and state-level QWI rates
| Variability measure | Alternate name | Variable name | Units | Base |
|---|---|---|---|---|
st_HirAR |
st_AR |
Standard error of Hiring Rate (All Accessions) |
Rate |
1 |
st_HirNR |
st_HR |
Standard error of New Hiring Rate |
Rate |
1 |
st_HirRR |
st_RR |
Standard error of Recall Rate |
Rate |
1 |
… |
||||
vt_HirAR |
vt_AR |
Total variation of Hiring Rate (All Accessions) |
Rate |
1 |
vt_HirNR |
vt_HR |
Total variation of New Hiring Rate |
Rate |
1 |
vt_HirRR |
vt_RR |
Total variation of Recall Rate |
Rate |
1 |
… |
||||
vb_HirAR |
vb_AR |
Between-implicate variability for Hiring Rate (All Accessions) |
Rate |
1 |
vb_HirNR |
vb_HR |
Between-implicate variability for New Hiring Rate |
Rate |
1 |
vb_HirRR |
vb_RR |
Between-implicate variability for Recall Rate |
Rate |
1 |
… |
||||
… |
||||
df_HirAR |
df_AR |
Degrees of freedom for VT of Hiring Rate (All Accessions) |
Rate |
1 |
df_HirNR |
df_HR |
Degrees of freedom for VT of New Hiring Rate |
Rate |
1 |
df_HirRR |
df_RR |
Degrees of freedom for VT of Recall Rate |
Rate |
1 |
… |
||||
mr_HirAR |
mr_AR |
Missingness ratio for Hiring Rate (All Accessions) |
Rate |
1 |
mr_HirNR |
mr_HR |
Missingness ratio for New Hiring Rate |
Rate |
1 |
mr_HirRR |
mr_RR |
Missingness ratio for Recall Rate |
Rate |
1 |
5.4.4. Job-to-job flow counts (J2J)
Soon.
5.4.5. Job-to-job flow rates (J2JR)
Soon.
5.4.6. Job-to-job flow Origin-Destination (J2JOD)
Soon.
6. Categorical Variables
Categorical variable descriptions are displayed above each table, with the variable name shown in parentheses. Unless otherwise stated, every possible value/label combination for each categorical variable is listed. Please note that not all values will be available in every table.
6.1. agegrp
( label_agegrp.csv )
| agegrp | label |
|---|---|
A00 |
All Ages (14-99) |
A01 |
14-18 |
A02 |
19-21 |
A03 |
22-24 |
A04 |
25-34 |
A05 |
35-44 |
A06 |
45-54 |
A07 |
55-64 |
A08 |
65-99 |
6.2. education
| education | label |
|---|---|
E0 |
All Education Categories |
E1 |
Less than high school |
E2 |
High school or equivalent, no college |
E3 |
Some college or Associate degree |
E4 |
Bachelor’s degree or advanced degree |
E5 |
Educational attainment not available (workers aged 24 or younger) |
6.3. ethnicity
| ethnicity | label |
|---|---|
A0 |
All Ethnicities |
A1 |
Not Hispanic or Latino |
A2 |
Hispanic or Latino |
6.4. firmage
| firmage | label |
|---|---|
0 |
All Firm Ages |
1 |
0-1 Years |
2 |
2-3 Years |
3 |
4-5 Years |
4 |
6-10 Years |
5 |
11+ Years |
N |
Firm Age Not Available For Public-Sector Firms |
6.5. firmsize
| firmsize | label |
|---|---|
0 |
All Firm Sizes |
1 |
0-19 Employees |
2 |
20-49 Employees |
3 |
50-249 Employees |
4 |
250-499 Employees |
5 |
500+ Employees |
N |
Firm Size Not Available For Public-Sector Firms |
6.6. ownercode
| ownercode | label |
|---|---|
A00 |
State and local government plus private ownership |
A01 |
Federal government |
A05 |
All Private |
6.8. quarter
| quarter | label |
|---|---|
1 |
1st Quarter of the Year (January-March) |
2 |
2nd Quarter of the Year (April-June) |
3 |
3rd Quarter of the Year (July-September) |
4 |
4th Quarter of the Year (October-December) |
6.9. race
( label_race.csv )
| race | label |
|---|---|
A0 |
All Races |
A1 |
White Alone |
A2 |
Black or African American Alone |
A3 |
American Indian or Alaska Native Alone |
A4 |
Asian Alone |
A5 |
Native Hawaiian or Other Pacific Islander Alone |
A6 |
Some Other Race Alone (Not Used) |
A7 |
Two or More Race Groups |
6.10. seasonadj
| seasonadj | label |
|---|---|
S |
Seasonally adjusted |
U |
Not seasonally adjusted |
6.12. Industry
6.12.1. Industry levels
| ind_level | label |
|---|---|
A |
All Industries |
S |
NAICS Sectors |
3 |
NAICS Subsectors |
4 |
NAICS Industry Groups |
6.12.2.  The 2017 NAICS (North American Industry Classification System) is used for all years. QWI releases prior to R2018Q1 used the 2012 NAICS classification (see Schema v4.1.3). For a full listing of all valid 2017 NAICS codes, see http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2017.
| industry | label | ind_level |
|---|---|---|
00 |
All NAICS Sectors |
A |
000 |
All NAICS Subsectors |
A |
0000 |
All NAICS Industry Groups |
A |
11 |
Agriculture, Forestry, Fishing and Hunting |
2 |
111 |
Crop Production |
3 |
1111 |
Oilseed and Grain Farming |
4 |
1112 |
Vegetable and Melon Farming |
4 |
… |
||
2382 |
Building Equipment Contractors |
4 |
2383 |
Building Finishing Contractors |
4 |
2389 |
Other Specialty Trade Contractors |
4 |
31-33 |
Manufacturing |
2 |
311 |
Food Manufacturing |
3 |
3111 |
Animal Food Manufacturing |
4 |
3112 |
Grain and Oilseed Milling |
4 |
3113 |
Sugar and Confectionery Product Manufacturing |
4 |
… |
6.13. Geography
6.13.1. Geographic levels
Geography labels for data files are provided in separate files, by scope. Each file 'label_geograpy_SCOPE.csv' may contain one or more types of records as flagged by geo_level. For convenience, a composite file containing all geocodes is available as label_geography.csv. The 2017 vintage of Census TIGER/Line geography is used for all tabulations as of the R2018Q1 release.
Shapefiles are described in a separate document.
| geo_level | label | description | sourceurl |
|---|---|---|---|
source |
B |
Metropolitan (complete) |
Identifies 5-digit CBSA code for metropolitan areas provided by the Census Bureau’s Geography Division. Balance of state including micropolitan areas are identified by custom codes as [ST]999 |
U.S. Census Bureau, Population Division; Office of Management and Budget, July 2015 delineations |
C |
Counties |
|
Identifies 5-digit FIPS/ANSI code for counties |
U.S. Census Bureau, Population Division; 2010 FIPS Codes for Counties and County Equivalent Entities |
M |
|
Metropolitan/Micropolitan (state part) |
Identifies 7-digit code constructed from the 2-digit state FIPS code and the 5-digit CBSA code provided by the Census Bureau’s Geography Division |
U.S. Census Bureau, Population Division; Office of Management and Budget, July 2015 delineations |
|
N |
National (50 States + DC) |
Custom code using '00' to denote national scope |
|
S |
States |
Identifies 2-digit FIPS/ANSI codes |
|
U.S. Census Bureau, Population Division; American National Standards Institute (ANSI) Codes for States, the District of Columbia, Puerto Rico, and the Insular Areas of the United State |
W |
Workforce Investment Areas |
6.13.2. National and state-level values
The file label_fipsnum.csv contains values and labels for all entities of geo_level 'N' or 'S', and is a summary of separately available files.
| geography | label | geo_level |
|---|---|---|
00 |
National (50 States + DC) |
N |
01 |
Alabama |
S |
02 |
Alaska |
S |
04 |
Arizona |
S |
05 |
Arkansas |
S |
06 |
California |
S |
08 |
Colorado |
S |
… |
||
45 |
South Carolina |
S |
46 |
South Dakota |
S |
47 |
Tennessee |
S |
48 |
Texas |
S |
49 |
Utah |
S |
50 |
Vermont |
S |
51 |
Virginia |
S |
53 |
Washington |
S |
6.13.3. State postal codes
Some parts of the schema use (lower or upper-case) state postal codes.
( label_stusps.csv )
| geography | stusps |
|---|---|
label |
00 |
US |
National (50 States + DC) |
01 |
AL |
Alabama |
02 |
AK |
Alaska |
04 |
AZ |
Arizona |
05 |
AR |
Arkansas |
06 |
CA |
California |
08 |
CO |
Colorado |
09 |
CT |
Connecticut |
10 |
DE |
Delaware |
11 |
DC |
District of Columbia |
12 |
FL |
Florida |
13 |
GA |
Georgia |
15 |
HI |
Hawaii |
16 |
ID |
Idaho |
17 |
IL |
Illinois |
18 |
IN |
Indiana |
19 |
IA |
Iowa |
20 |
KS |
Kansas |
21 |
KY |
Kentucky |
22 |
LA |
Louisiana |
23 |
ME |
Maine |
24 |
MD |
Maryland |
25 |
MA |
Massachusetts |
26 |
MI |
Michigan |
27 |
MN |
Minnesota |
28 |
MS |
Mississippi |
29 |
MO |
Missouri |
30 |
MT |
Montana |
31 |
NE |
Nebraska |
32 |
NV |
Nevada |
33 |
NH |
New Hampshire |
34 |
NJ |
New Jersey |
35 |
NM |
New Mexico |
36 |
NY |
New York |
37 |
NC |
North Carolina |
38 |
ND |
North Dakota |
39 |
OH |
Ohio |
40 |
OK |
Oklahoma |
41 |
OR |
Oregon |
42 |
PA |
Pennsylvania |
44 |
RI |
Rhode Island |
45 |
SC |
South Carolina |
46 |
SD |
South Dakota |
47 |
TN |
Tennessee |
48 |
TX |
Texas |
49 |
UT |
Utah |
50 |
VT |
Vermont |
51 |
VA |
Virginia |
53 |
WA |
Washington |
54 |
WV |
West Virginia |
55 |
WI |
Wisconsin |
56 |
WY |
Wyoming |
72 |
PR |
Puerto Rico |
78 |
VI |
6.13.4. Detailed state and substate level values
Files of type 'label_geography_[ST].csv' will contain identifiers and labels for geographic areas entirely comprised within a given state '[ST]'. State-specific parts of cross-state CBSA, in records of type geo_level = M, are present on files of type 'label_geography_[ST].csv'. The file label_geography_metro.csv contains labels for records of type geo_level = B, for metropolitan areas only.
| Scope | Types | Format file |
|---|---|---|
US |
N |
|
METRO |
B |
|
States |
||
AK |
S C W M |
|
AL |
S C W M |
|
AR |
S C W M |
|
AZ |
S C W M |
|
CA |
S C W M |
|
CO |
S C W M |
|
CT |
S C W M |
|
DC |
S C W M |
|
DE |
S C W M |
|
FL |
S C W M |
|
GA |
S C W M |
|
HI |
S C W M |
|
IA |
S C W M |
|
ID |
S C W M |
|
IL |
S C W M |
|
IN |
S C W M |
|
KS |
S C W M |
|
KY |
S C W M |
|
LA |
S C W M |
|
MA |
S C W M |
|
MD |
S C W M |
|
ME |
S C W M |
|
MI |
S C W M |
|
MN |
S C W M |
|
MO |
S C W M |
|
MS |
S C W M |
|
MT |
S C W M |
|
NC |
S C W M |
|
ND |
S C W M |
|
NE |
S C W M |
|
NH |
S C W M |
|
NJ |
S C W M |
|
NM |
S C W M |
|
NV |
S C W M |
|
NY |
S C W M |
|
OH |
S C W M |
|
OK |
S C W M |
|
OR |
S C W M |
|
PA |
S C W M |
|
RI |
S C W M |
|
SC |
S C W M |
|
SD |
S C W M |
|
TN |
S C W M |
|
TX |
S C W M |
|
UT |
S C W M |
|
VA |
S C W M |
|
VT |
S C W M |
|
WA |
S C W M |
|
WI |
S C W M |
|
WV |
S C W M |
|
WY |
S C W M |
6.14. Aggregation level
Measures within the J2J and QWI data products are tabulated on many different dimensions, including demographic characteristics, geography, industry, and other firm characteristics. For Origin-Destination (O-D) tables, characteristics of the origin and destination firm can be tabulated separately. Every tabulation level is assigned a unique aggregation index, represented by the agg_level variable. This index starts from 1, representing a national level grand total (all industries, workers, etc.), and progresses through different combinations of characteristics. There are gaps in the progression to leave space for aggregation levels that may be included in future data releases.
agg_level is currently reported only for J2J data products.
The following variables are included in the label_agg_level.csv file:
| Variable | Description |
|---|---|
agg_level |
index representing level of aggregation reported on a given record |
worker_char |
demographic (worker) characteristics reported on record |
firm_char |
firm characteristics reported on record. These will be the characteristics of the destination firm in O-D tabulations |
firm_orig_char |
characteristics of origin firm reported on record (O-D tabulations only) |
j2j |
Flag: Aggregation level available on J2J counts tables |
j2jr |
Flag: Aggregation level available on J2J rates tables |
j2jod |
Flag: Aggregation level available on J2J O-D tables |
qwi |
Flag: Aggregation level available on QWI |
The characteristics available on an aggregation level are repeated using a series of flags following the standard schema:
A shortened representation of the file is provided below, the complete file is available in the link above.
| agg_level | worker_char | firm_char | firm_orig_char | j2j | j2jr | j2jod | qwi | geo_level |
|---|---|---|---|---|---|---|---|---|
ind_level |
by_ownercode |
by_sex |
by_agegrp |
by_race |
by_ethnicity |
by_education |
by_firmage |
by_firmsize |
geo_level_orig |
ind_level_orig |
by_ownercode_orig |
by_firmage_orig |
by_firmsize_orig |
1 |
|||
1 |
1 |
1 |
0 |
N |
A |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
2 |
Sex |
1 |
1 |
1 |
0 |
||
N |
A |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
3 |
Age |
|
1 |
1 |
1 |
0 |
N |
A |
0 |
0 |
|
1 |
0 |
0 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
4 |
Sex * Age |
1 |
1 |
1 |
||
0 |
N |
A |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
5 |
Race |
1 |
1 |
1 |
0 |
N |
A |
0 |
||
0 |
0 |
1 |
0 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
9 |
Ethnicity |
1 |
1 |
||
1 |
0 |
N |
A |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
13 |
Race * Ethnicity |
1 |
1 |
1 |
0 |
N |
A |
||
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
… |
||||
129 |
Firm Size |
1 |
1 |
1 |
0 |
N |
||
A |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
N |
A |
0 |
0 |
0 |
257 |
NAICS Sector |
||
1 |
1 |
1 |
0 |
N |
S |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
258 |
Sex |
NAICS Sector |
1 |
1 |
1 |
0 |
|
N |
S |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
… |
||
1029 |
Race |
State |
1 |
1 |
1 |
|||
0 |
S |
A |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
1033 |
Ethnicity |
State |
1 |
1 |
1 |
0 |
S |
A |
0 |
|
0 |
0 |
0 |
1 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
1037 |
Race * Ethnicity |
State |
1 |
1 |
|
1 |
0 |
S |
A |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
N |
A |
0 |
0 |
0 |
… |
7. Status Flags
( label_flags.csv )
Each status flag in the tables above contains one of the following valid values. The values and their interpretation are listed in the table below.
|
Important
Note: Currently, the J2J tables only contain status flags '-1', '1', '5'. Status flags with values 10 or above only appear in online applications, not in CSV files. |
| flag | label |
|---|---|
-2 |
no data available in this category for this quarter |
-1 |
data not available to compute this estimate |
1 |
OK |
5 |
Value suppressed because it does not meet US Census Bureau publication standards. |
6 |
Value calculated from other released measures - no significant distortion |
7 |
Value calculated from other released measures - some of which have significantly distorted data |
9 |
Data significantly distorted - fuzzed value released |
10 |
Aggregate of cells - no significant distortion |
11 |
Aggregate of cells not released because component cells do not meet U.S. Census Bureau publication standards |
12 |
Aggregate of cells - some of which have significantly distorted data |
8. Metadata
8.1. Version Metadata for QWI and J2J Files (version.txt)
Each data release is accompanied by one or more files with metadata on geographic and temporal coverage, in a compact notation. These files follow the following naming convention:
version_[type].txt
where each component is described in more detail in lehd_csv_naming.html.
The contents contains the following elements:
| Component | Source | Description |
|---|---|---|
product |
[type] |
Type as described in lehd_csv_naming.html |
fas |
[fas] |
(optional - concatenated with product) used for QWI to distinguish separate tabulations from the legal [fas] values as described in lehd_csv_naming.html |
geo |
[stusps] or METRO |
Covered [geography] (uppercase state postal code including entire nation or the word METRO) |
geonum |
Numeric geography code |
|
start |
yyyy:q |
Start year and quarter |
end |
yyyy:q |
End year and quarter |
schema |
Vx.y.z |
Version of the schema |
release |
RyyyyQq |
Release quarter (identifies when the data was created) |
internal |
various |
Internal identifier used for provenance tracking |
For instance, the metadata for the R2018Q3 QWI release of Delaware (obtained from here) has the following content:
QWI_F DE 10 1998:3-2017:4 V4.3.0 R2018Q3 qwipu_de_20180813_1413 QWI_FA DE 10 1998:3-2017:3 V4.3.0 R2018Q3 qwipu_de_20180813_1413 QWI_FS DE 10 1998:3-2017:3 V4.3.0 R2018Q3 qwipu_de_20180813_1413
Similarly, the metadata for the R2018Q2 release of Delaware J2J tabulations (obtained from here) has the following content:
<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML 2.0//EN"> <html><head> <title>301 Moved Permanently</title> </head><body> <h1>Moved Permanently</h1> <p>The document has moved <a href="http://lehd.ces.census.gov/data/j2j/R2018Q2/de/j2j/version_j2j.txt">here</a>.</p> </body></html>
Some J2J metadata may contain multiple lines, as necessary.
8.2. Additional Metadata for J2JOD Files (avail.csv)
Because the origin-destination (J2JOD) data link two regions, we provide an auxiliary file with the time range that cells containing data for each geographic pairing may appear in a data release.
| variable | type | label |
|---|---|---|
geo_level |
Char(1) |
Geographic level of destination region |
geography |
Char(8) |
Geography code of destination region |
geo_level_orig |
Char(1) |
Geographic level of origin region |
geography_orig |
Char(8) |
Geography code of origin region |
start_year |
Num |
First year regional pair may be observed |
start_quarter |
Num |
First quarter regional pair may be observed |
end_year |
Num |
Last year regional pair may be observed |
end_quarter |
Num |
Last quarter regional pair may be observed |
The reference region will always be either the origin or the destination. National tabulations contain records where both origin and destination are geo_level=N; state tabulations contain records where geo_level in (N,S); metro tabulations contain records where geo_level in (N,S,B). Data may be suppressed for certain combinations of regions and quarters because the estimates do not meet Census Bureau publication standards.
8.3. Metadata on Indicator Availability
Each Indicator potentially requires leads and/or lags of data to be computed, and thus may not be available for certain time periods. Only two QWI will be available for all quarters of the time span described by start and end in the version.txt files: EmpTotal and Payroll. The date range for QWI, QWIR, J2J, and J2JR can be found in version.txt; the date range for J2JOD can be found in avail.csv.
For each indicator, the following files contain the quarters of data required to be available relative to the overall date range described in the metadata for the release:
The files are structured as follows:
| variable | type | label |
|---|---|---|
Indicator Variable |
Num |
Name of the Indicator |
Quarters_Required_Prior |
Num |
Number of quarters of data required to compute indicator relative to start quarter |
Quarters_Required_Subsequent |
Num |
Number of quarters of data required to compute indicator relative to end quarter |
9. Changes
For a description of how schema files are versioned, see main directory.
9.1. This version (revisions)
-
2018-10-30: Initial release
-
2019-02-28: Switch to different rendering engine, only stylistic changes
9.2. Version 4.3.1 from 4.3.0
-
2018-10-30: Due to a change of the geographic boundaries for a WIB in Iowa, the shape files need to be updated.
-
Adjust the "supersedes" definition to correctly reference the prior version.
9.3. Version 4.3.0 from 4.2.0
-
Changed the format of the version.txt file. This does not affect data files, but it does affect the metadata, and thus requires an increase in the minor version.
-
Changed the description of the download locations of the QWI files, as part of the "naming" schema.