Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73
 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]
Code Context


        trigger_error($message, E_USER_DEPRECATED);

    }
$message = 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73
 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
$stackFrame = (int) 1
$trace = [
	(int) 0 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ServerRequest.php',
		'line' => (int) 2421,
		'function' => 'deprecationWarning',
		'args' => [
			(int) 0 => 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead.'
		]
	],
	(int) 1 => [
		'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php',
		'line' => (int) 73,
		'function' => 'offsetGet',
		'class' => 'Cake\Http\ServerRequest',
		'object' => object(Cake\Http\ServerRequest) {},
		'type' => '->',
		'args' => [
			(int) 0 => 'catslug'
		]
	],
	(int) 2 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Controller/Controller.php',
		'line' => (int) 610,
		'function' => 'printArticle',
		'class' => 'App\Controller\ArtileDetailController',
		'object' => object(App\Controller\ArtileDetailController) {},
		'type' => '->',
		'args' => []
	],
	(int) 3 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php',
		'line' => (int) 120,
		'function' => 'invokeAction',
		'class' => 'Cake\Controller\Controller',
		'object' => object(App\Controller\ArtileDetailController) {},
		'type' => '->',
		'args' => []
	],
	(int) 4 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php',
		'line' => (int) 94,
		'function' => '_invoke',
		'class' => 'Cake\Http\ActionDispatcher',
		'object' => object(Cake\Http\ActionDispatcher) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(App\Controller\ArtileDetailController) {}
		]
	],
	(int) 5 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/BaseApplication.php',
		'line' => (int) 235,
		'function' => 'dispatch',
		'class' => 'Cake\Http\ActionDispatcher',
		'object' => object(Cake\Http\ActionDispatcher) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 6 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 65,
		'function' => '__invoke',
		'class' => 'Cake\Http\BaseApplication',
		'object' => object(App\Application) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {},
			(int) 2 => object(Cake\Http\Runner) {}
		]
	],
	(int) 7 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/RoutingMiddleware.php',
		'line' => (int) 162,
		'function' => '__invoke',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 8 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 65,
		'function' => '__invoke',
		'class' => 'Cake\Routing\Middleware\RoutingMiddleware',
		'object' => object(Cake\Routing\Middleware\RoutingMiddleware) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {},
			(int) 2 => object(Cake\Http\Runner) {}
		]
	],
	(int) 9 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/AssetMiddleware.php',
		'line' => (int) 88,
		'function' => '__invoke',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 10 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 65,
		'function' => '__invoke',
		'class' => 'Cake\Routing\Middleware\AssetMiddleware',
		'object' => object(Cake\Routing\Middleware\AssetMiddleware) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {},
			(int) 2 => object(Cake\Http\Runner) {}
		]
	],
	(int) 11 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Middleware/ErrorHandlerMiddleware.php',
		'line' => (int) 96,
		'function' => '__invoke',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 12 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 65,
		'function' => '__invoke',
		'class' => 'Cake\Error\Middleware\ErrorHandlerMiddleware',
		'object' => object(Cake\Error\Middleware\ErrorHandlerMiddleware) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {},
			(int) 2 => object(Cake\Http\Runner) {}
		]
	],
	(int) 13 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 51,
		'function' => '__invoke',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 14 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Server.php',
		'line' => (int) 98,
		'function' => 'run',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\MiddlewareQueue) {},
			(int) 1 => object(Cake\Http\ServerRequest) {},
			(int) 2 => object(Cake\Http\Response) {}
		]
	],
	(int) 15 => [
		'file' => '/home/brlfuser/public_html/webroot/index.php',
		'line' => (int) 39,
		'function' => 'run',
		'class' => 'Cake\Http\Server',
		'object' => object(Cake\Http\Server) {},
		'type' => '->',
		'args' => []
	]
]
$frame = [
	'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php',
	'line' => (int) 73,
	'function' => 'offsetGet',
	'class' => 'Cake\Http\ServerRequest',
	'object' => object(Cake\Http\ServerRequest) {
		trustProxy => false
		[protected] params => [
			[maximum depth reached]
		]
		[protected] data => [[maximum depth reached]]
		[protected] query => [[maximum depth reached]]
		[protected] cookies => [
			[maximum depth reached]
		]
		[protected] _environment => [
			[maximum depth reached]
		]
		[protected] url => 'latest-news-updates/data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967/print'
		[protected] base => ''
		[protected] webroot => '/'
		[protected] here => '/latest-news-updates/data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967/print'
		[protected] trustedProxies => [[maximum depth reached]]
		[protected] _input => null
		[protected] _detectors => [
			[maximum depth reached]
		]
		[protected] _detectorCache => [
			[maximum depth reached]
		]
		[protected] stream => object(Zend\Diactoros\PhpInputStream) {}
		[protected] uri => object(Zend\Diactoros\Uri) {}
		[protected] session => object(Cake\Http\Session) {}
		[protected] attributes => [[maximum depth reached]]
		[protected] emulatedAttributes => [
			[maximum depth reached]
		]
		[protected] uploadedFiles => [[maximum depth reached]]
		[protected] protocol => null
		[protected] requestTarget => null
		[private] deprecatedProperties => [
			[maximum depth reached]
		]
	},
	'type' => '->',
	'args' => [
		(int) 0 => 'catslug'
	]
]
deprecationWarning - CORE/src/Core/functions.php, line 311
Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421
App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 73
Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51
Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98

Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74
 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]
Code Context


        trigger_error($message, E_USER_DEPRECATED);

    }
$message = 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74
 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
$stackFrame = (int) 1
$trace = [
	(int) 0 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ServerRequest.php',
		'line' => (int) 2421,
		'function' => 'deprecationWarning',
		'args' => [
			(int) 0 => 'The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead.'
		]
	],
	(int) 1 => [
		'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php',
		'line' => (int) 74,
		'function' => 'offsetGet',
		'class' => 'Cake\Http\ServerRequest',
		'object' => object(Cake\Http\ServerRequest) {},
		'type' => '->',
		'args' => [
			(int) 0 => 'artileslug'
		]
	],
	(int) 2 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Controller/Controller.php',
		'line' => (int) 610,
		'function' => 'printArticle',
		'class' => 'App\Controller\ArtileDetailController',
		'object' => object(App\Controller\ArtileDetailController) {},
		'type' => '->',
		'args' => []
	],
	(int) 3 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php',
		'line' => (int) 120,
		'function' => 'invokeAction',
		'class' => 'Cake\Controller\Controller',
		'object' => object(App\Controller\ArtileDetailController) {},
		'type' => '->',
		'args' => []
	],
	(int) 4 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/ActionDispatcher.php',
		'line' => (int) 94,
		'function' => '_invoke',
		'class' => 'Cake\Http\ActionDispatcher',
		'object' => object(Cake\Http\ActionDispatcher) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(App\Controller\ArtileDetailController) {}
		]
	],
	(int) 5 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/BaseApplication.php',
		'line' => (int) 235,
		'function' => 'dispatch',
		'class' => 'Cake\Http\ActionDispatcher',
		'object' => object(Cake\Http\ActionDispatcher) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 6 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 65,
		'function' => '__invoke',
		'class' => 'Cake\Http\BaseApplication',
		'object' => object(App\Application) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {},
			(int) 2 => object(Cake\Http\Runner) {}
		]
	],
	(int) 7 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/RoutingMiddleware.php',
		'line' => (int) 162,
		'function' => '__invoke',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 8 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 65,
		'function' => '__invoke',
		'class' => 'Cake\Routing\Middleware\RoutingMiddleware',
		'object' => object(Cake\Routing\Middleware\RoutingMiddleware) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {},
			(int) 2 => object(Cake\Http\Runner) {}
		]
	],
	(int) 9 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Routing/Middleware/AssetMiddleware.php',
		'line' => (int) 88,
		'function' => '__invoke',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 10 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 65,
		'function' => '__invoke',
		'class' => 'Cake\Routing\Middleware\AssetMiddleware',
		'object' => object(Cake\Routing\Middleware\AssetMiddleware) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {},
			(int) 2 => object(Cake\Http\Runner) {}
		]
	],
	(int) 11 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Middleware/ErrorHandlerMiddleware.php',
		'line' => (int) 96,
		'function' => '__invoke',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 12 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 65,
		'function' => '__invoke',
		'class' => 'Cake\Error\Middleware\ErrorHandlerMiddleware',
		'object' => object(Cake\Error\Middleware\ErrorHandlerMiddleware) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {},
			(int) 2 => object(Cake\Http\Runner) {}
		]
	],
	(int) 13 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Runner.php',
		'line' => (int) 51,
		'function' => '__invoke',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\ServerRequest) {},
			(int) 1 => object(Cake\Http\Response) {}
		]
	],
	(int) 14 => [
		'file' => '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Http/Server.php',
		'line' => (int) 98,
		'function' => 'run',
		'class' => 'Cake\Http\Runner',
		'object' => object(Cake\Http\Runner) {},
		'type' => '->',
		'args' => [
			(int) 0 => object(Cake\Http\MiddlewareQueue) {},
			(int) 1 => object(Cake\Http\ServerRequest) {},
			(int) 2 => object(Cake\Http\Response) {}
		]
	],
	(int) 15 => [
		'file' => '/home/brlfuser/public_html/webroot/index.php',
		'line' => (int) 39,
		'function' => 'run',
		'class' => 'Cake\Http\Server',
		'object' => object(Cake\Http\Server) {},
		'type' => '->',
		'args' => []
	]
]
$frame = [
	'file' => '/home/brlfuser/public_html/src/Controller/ArtileDetailController.php',
	'line' => (int) 74,
	'function' => 'offsetGet',
	'class' => 'Cake\Http\ServerRequest',
	'object' => object(Cake\Http\ServerRequest) {
		trustProxy => false
		[protected] params => [
			[maximum depth reached]
		]
		[protected] data => [[maximum depth reached]]
		[protected] query => [[maximum depth reached]]
		[protected] cookies => [
			[maximum depth reached]
		]
		[protected] _environment => [
			[maximum depth reached]
		]
		[protected] url => 'latest-news-updates/data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967/print'
		[protected] base => ''
		[protected] webroot => '/'
		[protected] here => '/latest-news-updates/data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967/print'
		[protected] trustedProxies => [[maximum depth reached]]
		[protected] _input => null
		[protected] _detectors => [
			[maximum depth reached]
		]
		[protected] _detectorCache => [
			[maximum depth reached]
		]
		[protected] stream => object(Zend\Diactoros\PhpInputStream) {}
		[protected] uri => object(Zend\Diactoros\Uri) {}
		[protected] session => object(Cake\Http\Session) {}
		[protected] attributes => [[maximum depth reached]]
		[protected] emulatedAttributes => [
			[maximum depth reached]
		]
		[protected] uploadedFiles => [[maximum depth reached]]
		[protected] protocol => null
		[protected] requestTarget => null
		[private] deprecatedProperties => [
			[maximum depth reached]
		]
	},
	'type' => '->',
	'args' => [
		(int) 0 => 'artileslug'
	]
]
deprecationWarning - CORE/src/Core/functions.php, line 311
Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421
App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 74
Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51
Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98

Warning (512): Unable to emit headers. Headers sent in file=/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php line=853 [CORE/src/Http/ResponseEmitter.php, line 48]
Code Context
            if (Configure::read('debug')) {

                trigger_error($message, E_USER_WARNING);

            } else {
$response = object(Cake\Http\Response) {

	'status' => (int) 200,
	'contentType' => 'text/html',
	'headers' => [
		'Content-Type' => [
			[maximum depth reached]
		]
	],
	'file' => null,
	'fileRange' => [],
	'cookies' => object(Cake\Http\Cookie\CookieCollection) {},
	'cacheDirectives' => [],
	'body' => '<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
        "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
    <link rel="canonical" href="https://im4change.in/<pre class="cake-error"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-trace').style.display = (document.getElementById('cakeErr67f0a9622eb66-trace').style.display == 'none' ? '' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67f0a9622eb66-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-code').style.display = (document.getElementById('cakeErr67f0a9622eb66-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-context').style.display = (document.getElementById('cakeErr67f0a9622eb66-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67f0a9622eb66-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700">&lt;</span><span style="color: #0000BB">head</span><span style="color: #007700">&gt;
</span></span></code>
<span class="code-highlight"><code><span style="color: #000000">&nbsp;&nbsp;&nbsp;&nbsp;&lt;link&nbsp;rel="canonical"&nbsp;href="<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">);&nbsp;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">category</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">slug</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>/<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">seo_url</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>.html"/&gt;
</span></code></span>
<code><span style="color: #000000"><span style="color: #0000BB">&nbsp;&nbsp;&nbsp;&nbsp;</span><span style="color: #007700">&lt;</span><span style="color: #0000BB">meta&nbsp;http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type"&nbsp;</span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html;&nbsp;charset=utf-8"</span><span style="color: #007700">/&gt;
</span></span></code></pre><pre id="cakeErr67f0a9622eb66-context" class="cake-context" style="display: none;">$viewFile = &#039;/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp&#039;
$dataForView = [
	&#039;article_current&#039; =&gt; object(App\Model\Entity\Article) {

		&#039;id&#039; =&gt; (int) 35860,
		&#039;title&#039; =&gt; &#039;Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
		&#039;subheading&#039; =&gt; &#039;&#039;,
		&#039;description&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;
-TheWire.in/ Business Standard&lt;br /&gt;
&lt;br /&gt;
&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;
&lt;br /&gt;
New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;
&lt;br /&gt;
Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;
&lt;br /&gt;
Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;
&lt;br /&gt;
The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;
&lt;br /&gt;
Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;
&lt;br /&gt;
The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;
&lt;br /&gt;
The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;
&lt;br /&gt;
Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;
&lt;/div&gt;&#039;,
		&#039;credit_writer&#039; =&gt; &#039;TheWire.in, 19 February, 2018, https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&#039;,
		&#039;article_img&#039; =&gt; &#039;&#039;,
		&#039;article_img_thumb&#039; =&gt; &#039;&#039;,
		&#039;status&#039; =&gt; (int) 1,
		&#039;show_on_home&#039; =&gt; (int) 1,
		&#039;lang&#039; =&gt; &#039;EN&#039;,
		&#039;category_id&#039; =&gt; (int) 16,
		&#039;tag_keyword&#039; =&gt; &#039;&#039;,
		&#039;seo_url&#039; =&gt; &#039;data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967&#039;,
		&#039;meta_title&#039; =&gt; null,
		&#039;meta_keywords&#039; =&gt; null,
		&#039;meta_description&#039; =&gt; null,
		&#039;noindex&#039; =&gt; (int) 0,
		&#039;publish_date&#039; =&gt; object(Cake\I18n\FrozenDate) {},
		&#039;most_visit_section_id&#039; =&gt; null,
		&#039;article_big_img&#039; =&gt; null,
		&#039;liveid&#039; =&gt; (int) 4683967,
		&#039;created&#039; =&gt; object(Cake\I18n\FrozenTime) {},
		&#039;modified&#039; =&gt; object(Cake\I18n\FrozenTime) {},
		&#039;edate&#039; =&gt; &#039;&#039;,
		&#039;tags&#039; =&gt; [
			[maximum depth reached]
		],
		&#039;category&#039; =&gt; object(App\Model\Entity\Category) {},
		&#039;[new]&#039; =&gt; false,
		&#039;[accessible]&#039; =&gt; [
			[maximum depth reached]
		],
		&#039;[dirty]&#039; =&gt; [[maximum depth reached]],
		&#039;[original]&#039; =&gt; [[maximum depth reached]],
		&#039;[virtual]&#039; =&gt; [[maximum depth reached]],
		&#039;[hasErrors]&#039; =&gt; false,
		&#039;[errors]&#039; =&gt; [[maximum depth reached]],
		&#039;[invalid]&#039; =&gt; [[maximum depth reached]],
		&#039;[repository]&#039; =&gt; &#039;Articles&#039;
	
	},
	&#039;articleid&#039; =&gt; (int) 35860,
	&#039;metaTitle&#039; =&gt; &#039;LATEST NEWS UPDATES | Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
	&#039;metaKeywords&#039; =&gt; &#039;Employees? Provident Fund Organisation (EPFO),Prime Minister?s Office (PMO),Employment,Job Creation&#039;,
	&#039;metaDesc&#039; =&gt; &#039;
-TheWire.in/ Business Standard

The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and...&#039;,
	&#039;disp&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;-TheWire.in/ Business Standard&lt;br /&gt;&lt;br /&gt;&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;&lt;br /&gt;New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;&lt;br /&gt;Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;&lt;br /&gt;Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;&lt;br /&gt;The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;&lt;br /&gt;Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;&lt;br /&gt;The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;&lt;br /&gt;The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;&lt;br /&gt;Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot; title=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;&lt;/div&gt;&#039;,
	&#039;lang&#039; =&gt; &#039;English&#039;,
	&#039;SITE_URL&#039; =&gt; &#039;https://im4change.in/&#039;,
	&#039;site_title&#039; =&gt; &#039;im4change&#039;,
	&#039;adminprix&#039; =&gt; &#039;admin&#039;
]
$article_current = object(App\Model\Entity\Article) {

	&#039;id&#039; =&gt; (int) 35860,
	&#039;title&#039; =&gt; &#039;Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
	&#039;subheading&#039; =&gt; &#039;&#039;,
	&#039;description&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;
-TheWire.in/ Business Standard&lt;br /&gt;
&lt;br /&gt;
&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;
&lt;br /&gt;
New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;
&lt;br /&gt;
Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;
&lt;br /&gt;
Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;
&lt;br /&gt;
The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;
&lt;br /&gt;
Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;
&lt;br /&gt;
The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;
&lt;br /&gt;
The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;
&lt;br /&gt;
Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;
&lt;/div&gt;&#039;,
	&#039;credit_writer&#039; =&gt; &#039;TheWire.in, 19 February, 2018, https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&#039;,
	&#039;article_img&#039; =&gt; &#039;&#039;,
	&#039;article_img_thumb&#039; =&gt; &#039;&#039;,
	&#039;status&#039; =&gt; (int) 1,
	&#039;show_on_home&#039; =&gt; (int) 1,
	&#039;lang&#039; =&gt; &#039;EN&#039;,
	&#039;category_id&#039; =&gt; (int) 16,
	&#039;tag_keyword&#039; =&gt; &#039;&#039;,
	&#039;seo_url&#039; =&gt; &#039;data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967&#039;,
	&#039;meta_title&#039; =&gt; null,
	&#039;meta_keywords&#039; =&gt; null,
	&#039;meta_description&#039; =&gt; null,
	&#039;noindex&#039; =&gt; (int) 0,
	&#039;publish_date&#039; =&gt; object(Cake\I18n\FrozenDate) {},
	&#039;most_visit_section_id&#039; =&gt; null,
	&#039;article_big_img&#039; =&gt; null,
	&#039;liveid&#039; =&gt; (int) 4683967,
	&#039;created&#039; =&gt; object(Cake\I18n\FrozenTime) {},
	&#039;modified&#039; =&gt; object(Cake\I18n\FrozenTime) {},
	&#039;edate&#039; =&gt; &#039;&#039;,
	&#039;tags&#039; =&gt; [
		(int) 0 =&gt; object(Cake\ORM\Entity) {},
		(int) 1 =&gt; object(Cake\ORM\Entity) {},
		(int) 2 =&gt; object(Cake\ORM\Entity) {},
		(int) 3 =&gt; object(Cake\ORM\Entity) {}
	],
	&#039;category&#039; =&gt; object(App\Model\Entity\Category) {},
	&#039;[new]&#039; =&gt; false,
	&#039;[accessible]&#039; =&gt; [
		&#039;*&#039; =&gt; true,
		&#039;id&#039; =&gt; false
	],
	&#039;[dirty]&#039; =&gt; [],
	&#039;[original]&#039; =&gt; [],
	&#039;[virtual]&#039; =&gt; [],
	&#039;[hasErrors]&#039; =&gt; false,
	&#039;[errors]&#039; =&gt; [],
	&#039;[invalid]&#039; =&gt; [],
	&#039;[repository]&#039; =&gt; &#039;Articles&#039;

}
$articleid = (int) 35860
$metaTitle = &#039;LATEST NEWS UPDATES | Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;
$metaKeywords = &#039;Employees? Provident Fund Organisation (EPFO),Prime Minister?s Office (PMO),Employment,Job Creation&#039;
$metaDesc = &#039;
-TheWire.in/ Business Standard

The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and...&#039;
$disp = &#039;&lt;div align=&quot;justify&quot;&gt;-TheWire.in/ Business Standard&lt;br /&gt;&lt;br /&gt;&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;&lt;br /&gt;New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;&lt;br /&gt;Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;&lt;br /&gt;Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;&lt;br /&gt;The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;&lt;br /&gt;Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;&lt;br /&gt;The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;&lt;br /&gt;The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;&lt;br /&gt;Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot; title=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;&lt;/div&gt;&#039;
$lang = &#039;English&#039;
$SITE_URL = &#039;https://im4change.in/&#039;
$site_title = &#039;im4change&#039;
$adminprix = &#039;admin&#039;</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8
Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413
Cake\View\View::_render() - CORE/src/View/View.php, line 1374
Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927
Cake\View\View::render() - CORE/src/View/View.php, line 885
Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967.html"/>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
    <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css"
          media="all"/>
    <title>LATEST NEWS UPDATES | Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha | Im4change.org</title>
    <meta name="description" content="
-TheWire.in/ Business Standard

The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and..."/>
    <script src="https://im4change.in/js/jquery-1.10.2.js"></script>
    <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script>
    <script language="javascript" type="text/javascript">

        $(document).ready(function () {
            var img = $("img")[0]; // Get my img elem
            var pic_real_width, pic_real_height;
            $("<img/>") // Make in memory copy of image to avoid css issues
                .attr("src", $(img).attr("src"))
                .load(function () {
                    pic_real_width = this.width;   // Note: $(this).width() will not
                    pic_real_height = this.height; // work for in memory images.
                });
        });
    </script>
    <style type="text/css">
        @media screen {
            div.divFooter {
                display: block;
            }
        }

        @media print {
            .printbutton {
                display: none !important;
            }
        }
    </style>
</head>
<body>
<table cellpadding="0" cellspacing="0" border="0" width="98%" align="center">
    <tr>
        <td class="top_bg">
            <div class="divFooter">
                <img src="https://im4change.in/images/logo1.jpg" height="59" border="0"
                     alt="Resource centre on India's rural distress" style="padding-top:14px;"/>
            </div>

        </td>
    </tr>
    <tr>
        <td id="topspace">&nbsp;</td>
    </tr>

    <tr id="topspace">
        <td>&nbsp;</td>
    </tr>
    <tr>
        <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton">
            <form><input type="button" value=" Print this page "
                         onclick="window.print();return false;"/></form>
        </td>
    </tr>

    <tr>
        <td width="100%">
            <h1 class="news_headlines" style="font-style:normal">
                <strong>Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha</strong></h1>
        </td>
    </tr>
    <tr>
        <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3">
                <div align="justify">-TheWire.in/ Business Standard<br /><br /><em>The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.<br /><br />New Delhi: </em>A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&rsquo; Provident Fund Organisation (EPFO) &ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.<br /><br />Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&rsquo;s name, among others, in the EPFO&rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.<br /><br />Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &lsquo;Towards a Payroll Reporting in India&rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.<br /><br />The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.<br /><br />Only 20% of the members had permanent account numbers (PANs) and there was &ldquo;no consistency in capturing the members&rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&rdquo; Soumya Kanti and Pulak told the PMO. &ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&rdquo; according to the presentation.<br /><br />The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.<br /><br />The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &ldquo;probably due to late registration&rdquo;, and some members received multiple provident fund contributions for months. &ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&rdquo; the researchers said during the presentation.<br /><br />Please <a href="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/" title="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/">click here</a> to read more. <br /></div>               </font>
        </td>
    </tr>
    <tr>
        <td>&nbsp;</td>
    </tr>

    <tr>
        <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;">
            <form><input type="button" value=" Print this page "
                         onclick="window.print();return false;"/></form>
        </td>
    </tr>
</table></body>
</html>'

}
$maxBufferLength = (int) 8192
$file = '/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php'
$line = (int) 853
$message = 'Unable to emit headers. Headers sent in file=/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php line=853'
Cake\Http\ResponseEmitter::emit() - CORE/src/Http/ResponseEmitter.php, line 48
Cake\Http\Server::emit() - CORE/src/Http/Server.php, line 141
[main] - ROOT/webroot/index.php, line 39

Warning (2): Cannot modify header information - headers already sent by (output started at /home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php:853) [CORE/src/Http/ResponseEmitter.php, line 148]
Code Context
            $response->getStatusCode(),

            ($reasonPhrase ? ' ' . $reasonPhrase : '')

        ));
$response = object(Cake\Http\Response) {

	'status' => (int) 200,
	'contentType' => 'text/html',
	'headers' => [
		'Content-Type' => [
			[maximum depth reached]
		]
	],
	'file' => null,
	'fileRange' => [],
	'cookies' => object(Cake\Http\Cookie\CookieCollection) {},
	'cacheDirectives' => [],
	'body' => '<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
        "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
    <link rel="canonical" href="https://im4change.in/<pre class="cake-error"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-trace').style.display = (document.getElementById('cakeErr67f0a9622eb66-trace').style.display == 'none' ? '' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67f0a9622eb66-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-code').style.display = (document.getElementById('cakeErr67f0a9622eb66-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-context').style.display = (document.getElementById('cakeErr67f0a9622eb66-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67f0a9622eb66-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700">&lt;</span><span style="color: #0000BB">head</span><span style="color: #007700">&gt;
</span></span></code>
<span class="code-highlight"><code><span style="color: #000000">&nbsp;&nbsp;&nbsp;&nbsp;&lt;link&nbsp;rel="canonical"&nbsp;href="<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">);&nbsp;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">category</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">slug</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>/<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">seo_url</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>.html"/&gt;
</span></code></span>
<code><span style="color: #000000"><span style="color: #0000BB">&nbsp;&nbsp;&nbsp;&nbsp;</span><span style="color: #007700">&lt;</span><span style="color: #0000BB">meta&nbsp;http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type"&nbsp;</span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html;&nbsp;charset=utf-8"</span><span style="color: #007700">/&gt;
</span></span></code></pre><pre id="cakeErr67f0a9622eb66-context" class="cake-context" style="display: none;">$viewFile = &#039;/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp&#039;
$dataForView = [
	&#039;article_current&#039; =&gt; object(App\Model\Entity\Article) {

		&#039;id&#039; =&gt; (int) 35860,
		&#039;title&#039; =&gt; &#039;Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
		&#039;subheading&#039; =&gt; &#039;&#039;,
		&#039;description&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;
-TheWire.in/ Business Standard&lt;br /&gt;
&lt;br /&gt;
&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;
&lt;br /&gt;
New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;
&lt;br /&gt;
Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;
&lt;br /&gt;
Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;
&lt;br /&gt;
The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;
&lt;br /&gt;
Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;
&lt;br /&gt;
The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;
&lt;br /&gt;
The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;
&lt;br /&gt;
Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;
&lt;/div&gt;&#039;,
		&#039;credit_writer&#039; =&gt; &#039;TheWire.in, 19 February, 2018, https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&#039;,
		&#039;article_img&#039; =&gt; &#039;&#039;,
		&#039;article_img_thumb&#039; =&gt; &#039;&#039;,
		&#039;status&#039; =&gt; (int) 1,
		&#039;show_on_home&#039; =&gt; (int) 1,
		&#039;lang&#039; =&gt; &#039;EN&#039;,
		&#039;category_id&#039; =&gt; (int) 16,
		&#039;tag_keyword&#039; =&gt; &#039;&#039;,
		&#039;seo_url&#039; =&gt; &#039;data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967&#039;,
		&#039;meta_title&#039; =&gt; null,
		&#039;meta_keywords&#039; =&gt; null,
		&#039;meta_description&#039; =&gt; null,
		&#039;noindex&#039; =&gt; (int) 0,
		&#039;publish_date&#039; =&gt; object(Cake\I18n\FrozenDate) {},
		&#039;most_visit_section_id&#039; =&gt; null,
		&#039;article_big_img&#039; =&gt; null,
		&#039;liveid&#039; =&gt; (int) 4683967,
		&#039;created&#039; =&gt; object(Cake\I18n\FrozenTime) {},
		&#039;modified&#039; =&gt; object(Cake\I18n\FrozenTime) {},
		&#039;edate&#039; =&gt; &#039;&#039;,
		&#039;tags&#039; =&gt; [
			[maximum depth reached]
		],
		&#039;category&#039; =&gt; object(App\Model\Entity\Category) {},
		&#039;[new]&#039; =&gt; false,
		&#039;[accessible]&#039; =&gt; [
			[maximum depth reached]
		],
		&#039;[dirty]&#039; =&gt; [[maximum depth reached]],
		&#039;[original]&#039; =&gt; [[maximum depth reached]],
		&#039;[virtual]&#039; =&gt; [[maximum depth reached]],
		&#039;[hasErrors]&#039; =&gt; false,
		&#039;[errors]&#039; =&gt; [[maximum depth reached]],
		&#039;[invalid]&#039; =&gt; [[maximum depth reached]],
		&#039;[repository]&#039; =&gt; &#039;Articles&#039;
	
	},
	&#039;articleid&#039; =&gt; (int) 35860,
	&#039;metaTitle&#039; =&gt; &#039;LATEST NEWS UPDATES | Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
	&#039;metaKeywords&#039; =&gt; &#039;Employees? Provident Fund Organisation (EPFO),Prime Minister?s Office (PMO),Employment,Job Creation&#039;,
	&#039;metaDesc&#039; =&gt; &#039;
-TheWire.in/ Business Standard

The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and...&#039;,
	&#039;disp&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;-TheWire.in/ Business Standard&lt;br /&gt;&lt;br /&gt;&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;&lt;br /&gt;New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;&lt;br /&gt;Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;&lt;br /&gt;Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;&lt;br /&gt;The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;&lt;br /&gt;Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;&lt;br /&gt;The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;&lt;br /&gt;The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;&lt;br /&gt;Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot; title=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;&lt;/div&gt;&#039;,
	&#039;lang&#039; =&gt; &#039;English&#039;,
	&#039;SITE_URL&#039; =&gt; &#039;https://im4change.in/&#039;,
	&#039;site_title&#039; =&gt; &#039;im4change&#039;,
	&#039;adminprix&#039; =&gt; &#039;admin&#039;
]
$article_current = object(App\Model\Entity\Article) {

	&#039;id&#039; =&gt; (int) 35860,
	&#039;title&#039; =&gt; &#039;Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
	&#039;subheading&#039; =&gt; &#039;&#039;,
	&#039;description&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;
-TheWire.in/ Business Standard&lt;br /&gt;
&lt;br /&gt;
&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;
&lt;br /&gt;
New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;
&lt;br /&gt;
Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;
&lt;br /&gt;
Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;
&lt;br /&gt;
The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;
&lt;br /&gt;
Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;
&lt;br /&gt;
The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;
&lt;br /&gt;
The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;
&lt;br /&gt;
Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;
&lt;/div&gt;&#039;,
	&#039;credit_writer&#039; =&gt; &#039;TheWire.in, 19 February, 2018, https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&#039;,
	&#039;article_img&#039; =&gt; &#039;&#039;,
	&#039;article_img_thumb&#039; =&gt; &#039;&#039;,
	&#039;status&#039; =&gt; (int) 1,
	&#039;show_on_home&#039; =&gt; (int) 1,
	&#039;lang&#039; =&gt; &#039;EN&#039;,
	&#039;category_id&#039; =&gt; (int) 16,
	&#039;tag_keyword&#039; =&gt; &#039;&#039;,
	&#039;seo_url&#039; =&gt; &#039;data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967&#039;,
	&#039;meta_title&#039; =&gt; null,
	&#039;meta_keywords&#039; =&gt; null,
	&#039;meta_description&#039; =&gt; null,
	&#039;noindex&#039; =&gt; (int) 0,
	&#039;publish_date&#039; =&gt; object(Cake\I18n\FrozenDate) {},
	&#039;most_visit_section_id&#039; =&gt; null,
	&#039;article_big_img&#039; =&gt; null,
	&#039;liveid&#039; =&gt; (int) 4683967,
	&#039;created&#039; =&gt; object(Cake\I18n\FrozenTime) {},
	&#039;modified&#039; =&gt; object(Cake\I18n\FrozenTime) {},
	&#039;edate&#039; =&gt; &#039;&#039;,
	&#039;tags&#039; =&gt; [
		(int) 0 =&gt; object(Cake\ORM\Entity) {},
		(int) 1 =&gt; object(Cake\ORM\Entity) {},
		(int) 2 =&gt; object(Cake\ORM\Entity) {},
		(int) 3 =&gt; object(Cake\ORM\Entity) {}
	],
	&#039;category&#039; =&gt; object(App\Model\Entity\Category) {},
	&#039;[new]&#039; =&gt; false,
	&#039;[accessible]&#039; =&gt; [
		&#039;*&#039; =&gt; true,
		&#039;id&#039; =&gt; false
	],
	&#039;[dirty]&#039; =&gt; [],
	&#039;[original]&#039; =&gt; [],
	&#039;[virtual]&#039; =&gt; [],
	&#039;[hasErrors]&#039; =&gt; false,
	&#039;[errors]&#039; =&gt; [],
	&#039;[invalid]&#039; =&gt; [],
	&#039;[repository]&#039; =&gt; &#039;Articles&#039;

}
$articleid = (int) 35860
$metaTitle = &#039;LATEST NEWS UPDATES | Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;
$metaKeywords = &#039;Employees? Provident Fund Organisation (EPFO),Prime Minister?s Office (PMO),Employment,Job Creation&#039;
$metaDesc = &#039;
-TheWire.in/ Business Standard

The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and...&#039;
$disp = &#039;&lt;div align=&quot;justify&quot;&gt;-TheWire.in/ Business Standard&lt;br /&gt;&lt;br /&gt;&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;&lt;br /&gt;New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;&lt;br /&gt;Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;&lt;br /&gt;Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;&lt;br /&gt;The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;&lt;br /&gt;Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;&lt;br /&gt;The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;&lt;br /&gt;The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;&lt;br /&gt;Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot; title=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;&lt;/div&gt;&#039;
$lang = &#039;English&#039;
$SITE_URL = &#039;https://im4change.in/&#039;
$site_title = &#039;im4change&#039;
$adminprix = &#039;admin&#039;</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8
Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413
Cake\View\View::_render() - CORE/src/View/View.php, line 1374
Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927
Cake\View\View::render() - CORE/src/View/View.php, line 885
Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967.html"/>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
    <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css"
          media="all"/>
    <title>LATEST NEWS UPDATES | Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha | Im4change.org</title>
    <meta name="description" content="
-TheWire.in/ Business Standard

The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and..."/>
    <script src="https://im4change.in/js/jquery-1.10.2.js"></script>
    <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script>
    <script language="javascript" type="text/javascript">

        $(document).ready(function () {
            var img = $("img")[0]; // Get my img elem
            var pic_real_width, pic_real_height;
            $("<img/>") // Make in memory copy of image to avoid css issues
                .attr("src", $(img).attr("src"))
                .load(function () {
                    pic_real_width = this.width;   // Note: $(this).width() will not
                    pic_real_height = this.height; // work for in memory images.
                });
        });
    </script>
    <style type="text/css">
        @media screen {
            div.divFooter {
                display: block;
            }
        }

        @media print {
            .printbutton {
                display: none !important;
            }
        }
    </style>
</head>
<body>
<table cellpadding="0" cellspacing="0" border="0" width="98%" align="center">
    <tr>
        <td class="top_bg">
            <div class="divFooter">
                <img src="https://im4change.in/images/logo1.jpg" height="59" border="0"
                     alt="Resource centre on India's rural distress" style="padding-top:14px;"/>
            </div>

        </td>
    </tr>
    <tr>
        <td id="topspace">&nbsp;</td>
    </tr>

    <tr id="topspace">
        <td>&nbsp;</td>
    </tr>
    <tr>
        <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton">
            <form><input type="button" value=" Print this page "
                         onclick="window.print();return false;"/></form>
        </td>
    </tr>

    <tr>
        <td width="100%">
            <h1 class="news_headlines" style="font-style:normal">
                <strong>Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha</strong></h1>
        </td>
    </tr>
    <tr>
        <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3">
                <div align="justify">-TheWire.in/ Business Standard<br /><br /><em>The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.<br /><br />New Delhi: </em>A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&rsquo; Provident Fund Organisation (EPFO) &ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.<br /><br />Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&rsquo;s name, among others, in the EPFO&rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.<br /><br />Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &lsquo;Towards a Payroll Reporting in India&rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.<br /><br />The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.<br /><br />Only 20% of the members had permanent account numbers (PANs) and there was &ldquo;no consistency in capturing the members&rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&rdquo; Soumya Kanti and Pulak told the PMO. &ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&rdquo; according to the presentation.<br /><br />The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.<br /><br />The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &ldquo;probably due to late registration&rdquo;, and some members received multiple provident fund contributions for months. &ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&rdquo; the researchers said during the presentation.<br /><br />Please <a href="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/" title="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/">click here</a> to read more. <br /></div>               </font>
        </td>
    </tr>
    <tr>
        <td>&nbsp;</td>
    </tr>

    <tr>
        <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;">
            <form><input type="button" value=" Print this page "
                         onclick="window.print();return false;"/></form>
        </td>
    </tr>
</table></body>
</html>'

}
$reasonPhrase = 'OK'
header - [internal], line ??
Cake\Http\ResponseEmitter::emitStatusLine() - CORE/src/Http/ResponseEmitter.php, line 148
Cake\Http\ResponseEmitter::emit() - CORE/src/Http/ResponseEmitter.php, line 54
Cake\Http\Server::emit() - CORE/src/Http/Server.php, line 141
[main] - ROOT/webroot/index.php, line 39

Warning (2): Cannot modify header information - headers already sent by (output started at /home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php:853) [CORE/src/Http/ResponseEmitter.php, line 181]
Code Context
                    $value

                ), $first);

                $first = false;
$response = object(Cake\Http\Response) {

	'status' => (int) 200,
	'contentType' => 'text/html',
	'headers' => [
		'Content-Type' => [
			[maximum depth reached]
		]
	],
	'file' => null,
	'fileRange' => [],
	'cookies' => object(Cake\Http\Cookie\CookieCollection) {},
	'cacheDirectives' => [],
	'body' => '<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
        "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
    <link rel="canonical" href="https://im4change.in/<pre class="cake-error"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-trace').style.display = (document.getElementById('cakeErr67f0a9622eb66-trace').style.display == 'none' ? '' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67f0a9622eb66-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-code').style.display = (document.getElementById('cakeErr67f0a9622eb66-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f0a9622eb66-context').style.display = (document.getElementById('cakeErr67f0a9622eb66-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67f0a9622eb66-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700">&lt;</span><span style="color: #0000BB">head</span><span style="color: #007700">&gt;
</span></span></code>
<span class="code-highlight"><code><span style="color: #000000">&nbsp;&nbsp;&nbsp;&nbsp;&lt;link&nbsp;rel="canonical"&nbsp;href="<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">);&nbsp;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">category</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">slug</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>/<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">seo_url</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>.html"/&gt;
</span></code></span>
<code><span style="color: #000000"><span style="color: #0000BB">&nbsp;&nbsp;&nbsp;&nbsp;</span><span style="color: #007700">&lt;</span><span style="color: #0000BB">meta&nbsp;http</span><span style="color: #007700">-</span><span style="color: #0000BB">equiv</span><span style="color: #007700">=</span><span style="color: #DD0000">"Content-Type"&nbsp;</span><span style="color: #0000BB">content</span><span style="color: #007700">=</span><span style="color: #DD0000">"text/html;&nbsp;charset=utf-8"</span><span style="color: #007700">/&gt;
</span></span></code></pre><pre id="cakeErr67f0a9622eb66-context" class="cake-context" style="display: none;">$viewFile = &#039;/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp&#039;
$dataForView = [
	&#039;article_current&#039; =&gt; object(App\Model\Entity\Article) {

		&#039;id&#039; =&gt; (int) 35860,
		&#039;title&#039; =&gt; &#039;Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
		&#039;subheading&#039; =&gt; &#039;&#039;,
		&#039;description&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;
-TheWire.in/ Business Standard&lt;br /&gt;
&lt;br /&gt;
&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;
&lt;br /&gt;
New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;
&lt;br /&gt;
Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;
&lt;br /&gt;
Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;
&lt;br /&gt;
The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;
&lt;br /&gt;
Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;
&lt;br /&gt;
The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;
&lt;br /&gt;
The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;
&lt;br /&gt;
Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;
&lt;/div&gt;&#039;,
		&#039;credit_writer&#039; =&gt; &#039;TheWire.in, 19 February, 2018, https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&#039;,
		&#039;article_img&#039; =&gt; &#039;&#039;,
		&#039;article_img_thumb&#039; =&gt; &#039;&#039;,
		&#039;status&#039; =&gt; (int) 1,
		&#039;show_on_home&#039; =&gt; (int) 1,
		&#039;lang&#039; =&gt; &#039;EN&#039;,
		&#039;category_id&#039; =&gt; (int) 16,
		&#039;tag_keyword&#039; =&gt; &#039;&#039;,
		&#039;seo_url&#039; =&gt; &#039;data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967&#039;,
		&#039;meta_title&#039; =&gt; null,
		&#039;meta_keywords&#039; =&gt; null,
		&#039;meta_description&#039; =&gt; null,
		&#039;noindex&#039; =&gt; (int) 0,
		&#039;publish_date&#039; =&gt; object(Cake\I18n\FrozenDate) {},
		&#039;most_visit_section_id&#039; =&gt; null,
		&#039;article_big_img&#039; =&gt; null,
		&#039;liveid&#039; =&gt; (int) 4683967,
		&#039;created&#039; =&gt; object(Cake\I18n\FrozenTime) {},
		&#039;modified&#039; =&gt; object(Cake\I18n\FrozenTime) {},
		&#039;edate&#039; =&gt; &#039;&#039;,
		&#039;tags&#039; =&gt; [
			[maximum depth reached]
		],
		&#039;category&#039; =&gt; object(App\Model\Entity\Category) {},
		&#039;[new]&#039; =&gt; false,
		&#039;[accessible]&#039; =&gt; [
			[maximum depth reached]
		],
		&#039;[dirty]&#039; =&gt; [[maximum depth reached]],
		&#039;[original]&#039; =&gt; [[maximum depth reached]],
		&#039;[virtual]&#039; =&gt; [[maximum depth reached]],
		&#039;[hasErrors]&#039; =&gt; false,
		&#039;[errors]&#039; =&gt; [[maximum depth reached]],
		&#039;[invalid]&#039; =&gt; [[maximum depth reached]],
		&#039;[repository]&#039; =&gt; &#039;Articles&#039;
	
	},
	&#039;articleid&#039; =&gt; (int) 35860,
	&#039;metaTitle&#039; =&gt; &#039;LATEST NEWS UPDATES | Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
	&#039;metaKeywords&#039; =&gt; &#039;Employees? Provident Fund Organisation (EPFO),Prime Minister?s Office (PMO),Employment,Job Creation&#039;,
	&#039;metaDesc&#039; =&gt; &#039;
-TheWire.in/ Business Standard

The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and...&#039;,
	&#039;disp&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;-TheWire.in/ Business Standard&lt;br /&gt;&lt;br /&gt;&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;&lt;br /&gt;New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;&lt;br /&gt;Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;&lt;br /&gt;Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;&lt;br /&gt;The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;&lt;br /&gt;Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;&lt;br /&gt;The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;&lt;br /&gt;The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;&lt;br /&gt;Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot; title=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;&lt;/div&gt;&#039;,
	&#039;lang&#039; =&gt; &#039;English&#039;,
	&#039;SITE_URL&#039; =&gt; &#039;https://im4change.in/&#039;,
	&#039;site_title&#039; =&gt; &#039;im4change&#039;,
	&#039;adminprix&#039; =&gt; &#039;admin&#039;
]
$article_current = object(App\Model\Entity\Article) {

	&#039;id&#039; =&gt; (int) 35860,
	&#039;title&#039; =&gt; &#039;Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;,
	&#039;subheading&#039; =&gt; &#039;&#039;,
	&#039;description&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;
-TheWire.in/ Business Standard&lt;br /&gt;
&lt;br /&gt;
&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;
&lt;br /&gt;
New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;
&lt;br /&gt;
Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;
&lt;br /&gt;
Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;
&lt;br /&gt;
The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;
&lt;br /&gt;
Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;
&lt;br /&gt;
The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;
&lt;br /&gt;
The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;
&lt;br /&gt;
Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;
&lt;/div&gt;&#039;,
	&#039;credit_writer&#039; =&gt; &#039;TheWire.in, 19 February, 2018, https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&#039;,
	&#039;article_img&#039; =&gt; &#039;&#039;,
	&#039;article_img_thumb&#039; =&gt; &#039;&#039;,
	&#039;status&#039; =&gt; (int) 1,
	&#039;show_on_home&#039; =&gt; (int) 1,
	&#039;lang&#039; =&gt; &#039;EN&#039;,
	&#039;category_id&#039; =&gt; (int) 16,
	&#039;tag_keyword&#039; =&gt; &#039;&#039;,
	&#039;seo_url&#039; =&gt; &#039;data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967&#039;,
	&#039;meta_title&#039; =&gt; null,
	&#039;meta_keywords&#039; =&gt; null,
	&#039;meta_description&#039; =&gt; null,
	&#039;noindex&#039; =&gt; (int) 0,
	&#039;publish_date&#039; =&gt; object(Cake\I18n\FrozenDate) {},
	&#039;most_visit_section_id&#039; =&gt; null,
	&#039;article_big_img&#039; =&gt; null,
	&#039;liveid&#039; =&gt; (int) 4683967,
	&#039;created&#039; =&gt; object(Cake\I18n\FrozenTime) {},
	&#039;modified&#039; =&gt; object(Cake\I18n\FrozenTime) {},
	&#039;edate&#039; =&gt; &#039;&#039;,
	&#039;tags&#039; =&gt; [
		(int) 0 =&gt; object(Cake\ORM\Entity) {},
		(int) 1 =&gt; object(Cake\ORM\Entity) {},
		(int) 2 =&gt; object(Cake\ORM\Entity) {},
		(int) 3 =&gt; object(Cake\ORM\Entity) {}
	],
	&#039;category&#039; =&gt; object(App\Model\Entity\Category) {},
	&#039;[new]&#039; =&gt; false,
	&#039;[accessible]&#039; =&gt; [
		&#039;*&#039; =&gt; true,
		&#039;id&#039; =&gt; false
	],
	&#039;[dirty]&#039; =&gt; [],
	&#039;[original]&#039; =&gt; [],
	&#039;[virtual]&#039; =&gt; [],
	&#039;[hasErrors]&#039; =&gt; false,
	&#039;[errors]&#039; =&gt; [],
	&#039;[invalid]&#039; =&gt; [],
	&#039;[repository]&#039; =&gt; &#039;Articles&#039;

}
$articleid = (int) 35860
$metaTitle = &#039;LATEST NEWS UPDATES | Data Set for Modi&amp;#039;s &amp;#039;7 Million Jobs&amp;#039; Claim Badly Maintained, &amp;#039;30-40% Unclean&amp;#039; -Somesh Jha&#039;
$metaKeywords = &#039;Employees? Provident Fund Organisation (EPFO),Prime Minister?s Office (PMO),Employment,Job Creation&#039;
$metaDesc = &#039;
-TheWire.in/ Business Standard

The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and...&#039;
$disp = &#039;&lt;div align=&quot;justify&quot;&gt;-TheWire.in/ Business Standard&lt;br /&gt;&lt;br /&gt;&lt;em&gt;The Employees&amp;rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.&lt;br /&gt;&lt;br /&gt;New Delhi: &lt;/em&gt;A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&amp;rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&amp;rsquo; Provident Fund Organisation (EPFO) &amp;ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.&lt;br /&gt;&lt;br /&gt;Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&amp;rsquo;s name, among others, in the EPFO&amp;rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.&lt;br /&gt;&lt;br /&gt;Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &amp;lsquo;Towards a Payroll Reporting in India&amp;rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.&lt;br /&gt;&lt;br /&gt;The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.&lt;br /&gt;&lt;br /&gt;Only 20% of the members had permanent account numbers (PANs) and there was &amp;ldquo;no consistency in capturing the members&amp;rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&amp;rdquo; Soumya Kanti and Pulak told the PMO. &amp;ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&amp;rdquo; according to the presentation.&lt;br /&gt;&lt;br /&gt;The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &amp;ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&amp;rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.&lt;br /&gt;&lt;br /&gt;The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &amp;ldquo;probably due to late registration&amp;rdquo;, and some members received multiple provident fund contributions for months. &amp;ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&amp;rdquo; the researchers said during the presentation.&lt;br /&gt;&lt;br /&gt;Please &lt;a href=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot; title=&quot;https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/&quot;&gt;click here&lt;/a&gt; to read more. &lt;br /&gt;&lt;/div&gt;&#039;
$lang = &#039;English&#039;
$SITE_URL = &#039;https://im4change.in/&#039;
$site_title = &#039;im4change&#039;
$adminprix = &#039;admin&#039;</pre><pre class="stack-trace">include - APP/Template/Layout/printlayout.ctp, line 8
Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413
Cake\View\View::_render() - CORE/src/View/View.php, line 1374
Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927
Cake\View\View::render() - CORE/src/View/View.php, line 885
Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51</pre></div></pre>latest-news-updates/data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967.html"/>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
    <link href="https://im4change.in/css/control.css" rel="stylesheet" type="text/css"
          media="all"/>
    <title>LATEST NEWS UPDATES | Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha | Im4change.org</title>
    <meta name="description" content="
-TheWire.in/ Business Standard

The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and..."/>
    <script src="https://im4change.in/js/jquery-1.10.2.js"></script>
    <script type="text/javascript" src="https://im4change.in/js/jquery-migrate.min.js"></script>
    <script language="javascript" type="text/javascript">

        $(document).ready(function () {
            var img = $("img")[0]; // Get my img elem
            var pic_real_width, pic_real_height;
            $("<img/>") // Make in memory copy of image to avoid css issues
                .attr("src", $(img).attr("src"))
                .load(function () {
                    pic_real_width = this.width;   // Note: $(this).width() will not
                    pic_real_height = this.height; // work for in memory images.
                });
        });
    </script>
    <style type="text/css">
        @media screen {
            div.divFooter {
                display: block;
            }
        }

        @media print {
            .printbutton {
                display: none !important;
            }
        }
    </style>
</head>
<body>
<table cellpadding="0" cellspacing="0" border="0" width="98%" align="center">
    <tr>
        <td class="top_bg">
            <div class="divFooter">
                <img src="https://im4change.in/images/logo1.jpg" height="59" border="0"
                     alt="Resource centre on India's rural distress" style="padding-top:14px;"/>
            </div>

        </td>
    </tr>
    <tr>
        <td id="topspace">&nbsp;</td>
    </tr>

    <tr id="topspace">
        <td>&nbsp;</td>
    </tr>
    <tr>
        <td height="50" style="border-bottom:1px solid #000; padding-top:10px;" class="printbutton">
            <form><input type="button" value=" Print this page "
                         onclick="window.print();return false;"/></form>
        </td>
    </tr>

    <tr>
        <td width="100%">
            <h1 class="news_headlines" style="font-style:normal">
                <strong>Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha</strong></h1>
        </td>
    </tr>
    <tr>
        <td width="100%" style="font-family:Arial, 'Segoe Script', 'Segoe UI', sans-serif, serif"><font size="3">
                <div align="justify">-TheWire.in/ Business Standard<br /><br /><em>The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.<br /><br />New Delhi: </em>A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&rsquo; Provident Fund Organisation (EPFO) &ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.<br /><br />Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&rsquo;s name, among others, in the EPFO&rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.<br /><br />Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &lsquo;Towards a Payroll Reporting in India&rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.<br /><br />The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.<br /><br />Only 20% of the members had permanent account numbers (PANs) and there was &ldquo;no consistency in capturing the members&rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&rdquo; Soumya Kanti and Pulak told the PMO. &ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&rdquo; according to the presentation.<br /><br />The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.<br /><br />The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &ldquo;probably due to late registration&rdquo;, and some members received multiple provident fund contributions for months. &ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&rdquo; the researchers said during the presentation.<br /><br />Please <a href="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/" title="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/">click here</a> to read more. <br /></div>               </font>
        </td>
    </tr>
    <tr>
        <td>&nbsp;</td>
    </tr>

    <tr>
        <td height="50" style="border-top:1px solid #000; border-bottom:1px solid #000;padding-top:10px;">
            <form><input type="button" value=" Print this page "
                         onclick="window.print();return false;"/></form>
        </td>
    </tr>
</table></body>
</html>'

}
$cookies = []
$values = [
	(int) 0 => 'text/html; charset=UTF-8'
]
$name = 'Content-Type'
$first = true
$value = 'text/html; charset=UTF-8'
header - [internal], line ??
Cake\Http\ResponseEmitter::emitHeaders() - CORE/src/Http/ResponseEmitter.php, line 181
Cake\Http\ResponseEmitter::emit() - CORE/src/Http/ResponseEmitter.php, line 55
Cake\Http\Server::emit() - CORE/src/Http/Server.php, line 141
[main] - ROOT/webroot/index.php, line 39

<head>

    <link rel="canonical" href="<?php echo Configure::read('SITE_URL'); ?><?php echo $urlPrefix;?><?php echo $article_current->category->slug; ?>/<?php echo $article_current->seo_url; ?>.html"/>

    <meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>

$viewFile = '/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp'
$dataForView = [
	'article_current' => object(App\Model\Entity\Article) {

		'id' => (int) 35860,
		'title' => 'Data Set for Modi's '7 Million Jobs' Claim Badly Maintained, '30-40% Unclean' -Somesh Jha',
		'subheading' => '',
		'description' => '<div align="justify">
-TheWire.in/ Business Standard<br />
<br />
<em>The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.<br />
<br />
New Delhi: </em>A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&rsquo; Provident Fund Organisation (EPFO) &ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.<br />
<br />
Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&rsquo;s name, among others, in the EPFO&rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.<br />
<br />
Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &lsquo;Towards a Payroll Reporting in India&rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.<br />
<br />
The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.<br />
<br />
Only 20% of the members had permanent account numbers (PANs) and there was &ldquo;no consistency in capturing the members&rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&rdquo; Soumya Kanti and Pulak told the PMO. &ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&rdquo; according to the presentation.<br />
<br />
The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.<br />
<br />
The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &ldquo;probably due to late registration&rdquo;, and some members received multiple provident fund contributions for months. &ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&rdquo; the researchers said during the presentation.<br />
<br />
Please <a href="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/">click here</a> to read more. <br />
</div>',
		'credit_writer' => 'TheWire.in, 19 February, 2018, https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/',
		'article_img' => '',
		'article_img_thumb' => '',
		'status' => (int) 1,
		'show_on_home' => (int) 1,
		'lang' => 'EN',
		'category_id' => (int) 16,
		'tag_keyword' => '',
		'seo_url' => 'data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967',
		'meta_title' => null,
		'meta_keywords' => null,
		'meta_description' => null,
		'noindex' => (int) 0,
		'publish_date' => object(Cake\I18n\FrozenDate) {},
		'most_visit_section_id' => null,
		'article_big_img' => null,
		'liveid' => (int) 4683967,
		'created' => object(Cake\I18n\FrozenTime) {},
		'modified' => object(Cake\I18n\FrozenTime) {},
		'edate' => '',
		'tags' => [
			[maximum depth reached]
		],
		'category' => object(App\Model\Entity\Category) {},
		'[new]' => false,
		'[accessible]' => [
			[maximum depth reached]
		],
		'[dirty]' => [[maximum depth reached]],
		'[original]' => [[maximum depth reached]],
		'[virtual]' => [[maximum depth reached]],
		'[hasErrors]' => false,
		'[errors]' => [[maximum depth reached]],
		'[invalid]' => [[maximum depth reached]],
		'[repository]' => 'Articles'
	
	},
	'articleid' => (int) 35860,
	'metaTitle' => 'LATEST NEWS UPDATES | Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha',
	'metaKeywords' => 'Employees? Provident Fund Organisation (EPFO),Prime Minister?s Office (PMO),Employment,Job Creation',
	'metaDesc' => '
-TheWire.in/ Business Standard

The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and...',
	'disp' => '<div align="justify">-TheWire.in/ Business Standard<br /><br /><em>The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.<br /><br />New Delhi: </em>A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&rsquo; Provident Fund Organisation (EPFO) &ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.<br /><br />Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&rsquo;s name, among others, in the EPFO&rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.<br /><br />Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &lsquo;Towards a Payroll Reporting in India&rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.<br /><br />The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.<br /><br />Only 20% of the members had permanent account numbers (PANs) and there was &ldquo;no consistency in capturing the members&rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&rdquo; Soumya Kanti and Pulak told the PMO. &ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&rdquo; according to the presentation.<br /><br />The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.<br /><br />The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &ldquo;probably due to late registration&rdquo;, and some members received multiple provident fund contributions for months. &ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&rdquo; the researchers said during the presentation.<br /><br />Please <a href="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/" title="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/">click here</a> to read more. <br /></div>',
	'lang' => 'English',
	'SITE_URL' => 'https://im4change.in/',
	'site_title' => 'im4change',
	'adminprix' => 'admin'
]
$article_current = object(App\Model\Entity\Article) {

	'id' => (int) 35860,
	'title' => 'Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha',
	'subheading' => '',
	'description' => '<div align="justify">
-TheWire.in/ Business Standard<br />
<br />
<em>The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.<br />
<br />
New Delhi: </em>A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&rsquo; Provident Fund Organisation (EPFO) &ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.<br />
<br />
Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&rsquo;s name, among others, in the EPFO&rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.<br />
<br />
Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &lsquo;Towards a Payroll Reporting in India&rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.<br />
<br />
The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.<br />
<br />
Only 20% of the members had permanent account numbers (PANs) and there was &ldquo;no consistency in capturing the members&rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&rdquo; Soumya Kanti and Pulak told the PMO. &ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&rdquo; according to the presentation.<br />
<br />
The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.<br />
<br />
The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &ldquo;probably due to late registration&rdquo;, and some members received multiple provident fund contributions for months. &ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&rdquo; the researchers said during the presentation.<br />
<br />
Please <a href="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/">click here</a> to read more. <br />
</div>',
	'credit_writer' => 'TheWire.in, 19 February, 2018, https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/',
	'article_img' => '',
	'article_img_thumb' => '',
	'status' => (int) 1,
	'show_on_home' => (int) 1,
	'lang' => 'EN',
	'category_id' => (int) 16,
	'tag_keyword' => '',
	'seo_url' => 'data-set-for-modi039s-0397-million-jobs039-claim-badly-maintained-03930-40-unclean039-somesh-jha-4683967',
	'meta_title' => null,
	'meta_keywords' => null,
	'meta_description' => null,
	'noindex' => (int) 0,
	'publish_date' => object(Cake\I18n\FrozenDate) {},
	'most_visit_section_id' => null,
	'article_big_img' => null,
	'liveid' => (int) 4683967,
	'created' => object(Cake\I18n\FrozenTime) {},
	'modified' => object(Cake\I18n\FrozenTime) {},
	'edate' => '',
	'tags' => [
		(int) 0 => object(Cake\ORM\Entity) {},
		(int) 1 => object(Cake\ORM\Entity) {},
		(int) 2 => object(Cake\ORM\Entity) {},
		(int) 3 => object(Cake\ORM\Entity) {}
	],
	'category' => object(App\Model\Entity\Category) {},
	'[new]' => false,
	'[accessible]' => [
		'*' => true,
		'id' => false
	],
	'[dirty]' => [],
	'[original]' => [],
	'[virtual]' => [],
	'[hasErrors]' => false,
	'[errors]' => [],
	'[invalid]' => [],
	'[repository]' => 'Articles'

}
$articleid = (int) 35860
$metaTitle = 'LATEST NEWS UPDATES | Data Set for Modi&#039;s &#039;7 Million Jobs&#039; Claim Badly Maintained, &#039;30-40% Unclean&#039; -Somesh Jha'
$metaKeywords = 'Employees? Provident Fund Organisation (EPFO),Prime Minister?s Office (PMO),Employment,Job Creation'
$metaDesc = '
-TheWire.in/ Business Standard

The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.

New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and...'
$disp = '<div align="justify">-TheWire.in/ Business Standard<br /><br /><em>The Employees&rsquo; Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date.<br /><br />New Delhi: </em>A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister&rsquo;s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees&rsquo; Provident Fund Organisation (EPFO) &ndash; something that the recently released study on creation of seven million jobs in 2017-18 did not include.<br /><br />Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father&rsquo;s name, among others, in the EPFO&rsquo;s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them.<br /><br />Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, &lsquo;Towards a Payroll Reporting in India&rsquo;, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting.<br /><br />The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard.<br /><br />Only 20% of the members had permanent account numbers (PANs) and there was &ldquo;no consistency in capturing the members&rsquo; data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,&rdquo; Soumya Kanti and Pulak told the PMO. &ldquo;[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,&rdquo; according to the presentation.<br /><br />The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. &ldquo;Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,&rdquo; Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18.<br /><br />The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, &ldquo;probably due to late registration&rdquo;, and some members received multiple provident fund contributions for months. &ldquo;EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,&rdquo; the researchers said during the presentation.<br /><br />Please <a href="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/" title="https://thewire.in/225430/data-set-modis-7-million-jobs-claim-badly-maintained-30-40-unclean/">click here</a> to read more. <br /></div>'
$lang = 'English'
$SITE_URL = 'https://im4change.in/'
$site_title = 'im4change'
$adminprix = 'admin'

include - APP/Template/Layout/printlayout.ctp, line 8
Cake\View\View::_evaluate() - CORE/src/View/View.php, line 1413
Cake\View\View::_render() - CORE/src/View/View.php, line 1374
Cake\View\View::renderLayout() - CORE/src/View/View.php, line 927
Cake\View\View::render() - CORE/src/View/View.php, line 885
Cake\Controller\Controller::render() - CORE/src/Controller/Controller.php, line 791
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51

Data Set for Modi's '7 Million Jobs' Claim Badly Maintained, '30-40% Unclean' -Somesh Jha

-TheWire.in/ Business Standard The Employees’ Provident Fund Organisation data analysed by researchers showed that in some cases, members have received contributions even before their joining date. New Delhi: A presentation made by State Bank of India chief economist Soumya Kanti Ghosh and Indian Institute of Management-Bangalore professor Pulak Ghosh to the Prime Minister’s Office (PMO) in January captured how subscriber data is shoddily maintained by the Employees’ Provident Fund Organisation (EPFO) – something that the recently released study on creation of seven million jobs in 2017-18 did not include. Out of around 80 million accounts that the two researchers analysed, there were ten million records with only names and no other details about the subscribers, including their date of joining, date of birth and father’s name, among others, in the EPFO’s records. Several records maintained by the EPFO had names such as A, a, xxx, 9, z, with provident fund contribution against them. Soumya Kanti and Pulak briefed these facts to the PMO in a presentation made four days before making their report, ‘Towards a Payroll Reporting in India’, public on January 16. Top officials from the NITI Aayog, finance ministry, labour and employment ministry and the Ministry of Statistics and Programme Implementation were present at the meeting. The slides in the presentation, Navigating Through Numerous Challenges in EPFO Data, were not part of the study that was released last month. The presentation was reviewed by Business Standard. Only 20% of the members had permanent account numbers (PANs) and there was “no consistency in capturing the members’ data with some or the other details of the subscribers missing, that made it really difficult to remove duplicates,” Soumya Kanti and Pulak told the PMO. “[It] looks like there is 30-40% of unclean data. Only few remain useful with all the fields populated,” according to the presentation. The EPFO has also captured the date of birth inaccurately for several users, showing the members were either over 100-years-old or less than 18 years. “Since we cannot identify many members uniquely, we are not sure how many new payrolls are created, or how many are in a job for a while but are being counted as fresh,” Soumya Kanti and Pulak admitted, estimating that seven million jobs would be added to the payroll in 2017-18. The EPFO data analysed by the researchers also showed that in some cases, members have received contribution even before their joining date, “probably due to late registration”, and some members received multiple provident fund contributions for months. “EPFO should do a thorough job of cleaning the entire databases and their systems should be structured,” the researchers said during the presentation. Please click here to read more.