Pakistan continues to face devastation as heavy rains, floods, and landslides push the death toll beyond 900. The National Disaster Management Authority (NDMA) released new data showing 907 deaths and more than 1,000 injuries across the country. The widespread destruction has displaced families, damaged homes, and destroyed livestock, adding to the scale of the crisis.
According to NDMA, Punjab suffered the highest human losses with 223 deaths and 654 injuries. Khyber Pakhtunkhwa faced the deadliest impact, with 502 deaths and 218 injuries reported. Meanwhile, Sindh recorded 58 fatalities, while Balochistan reported 26 deaths from rain-related incidents. Authorities warn that vulnerable areas remain at risk as river levels continue to rise.
The data also revealed tragic losses in other regions. In Gilgit-Baltistan, 41 people died and 52 were injured. Azad Kashmir reported 38 deaths, while nine people lost their lives in Islamabad. These figures highlight the scale of the disaster, which has stretched emergency response efforts to their limits.
Beyond the loss of lives, the floods have damaged nearly 7,848 houses nationwide, leaving thousands without shelter. Livelihoods have also suffered, with over 6,180 cattle and livestock reported dead. For many rural communities, these losses represent a devastating blow to their only means of survival.
Authorities are continuing rescue and relief operations, but challenges remain severe. Dam breaches have worsened the situation, with overflowing rivers submerging entire villages. Officials have urged the public to remain alert, as rains may continue and water levels could rise further in the coming days.
from rate_up import RateUp
app = RateUp()
# how long bot will be on page (optional)
app.min_time = 40 # default 62 sec
app.max_time = 120 # default 146 sec
app.browser_path = 'full_path_to\chrome.exe'
# generate headers list
headers = app.generate_header_list(2000000)
# path to your proxy file (need pass one or more files)
proxy_list = app.get_proxy(
socks5=r'path_to\socks5.txt',
socks4=r'path_to\socks4.txt',
http=r'path_to\http_https.txt',
unknown=r'path_to\unknown_protocol.txt'
)
print(proxy_list)
# target urls list
urls = [
'http://example.com',
'http://example.com/index/article/0-5',
]
app.start(proxy_list, headers, urls)if you want using your own referrer list or expand the existing:
from rate_up import RateUp
app = RateUp()
# for new list
app.change_referrer(new='site-1.com, site-2.com')
# for expand list
app.change_referrer(expand='site-1.com, site-2.com')
# show the list what is using to generate the header (referrer, cache_control, accept, accept_encoding, user_agent)
app.show_header_data('referrer')
Comments